New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges

Edge computing: Vision and challenges

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Wireless sensor network survey

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Federated learning: Challenges, methods, and future directions

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Differential Privacy: A Survey of Results

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An introduction to multisensor data fusion

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Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data

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Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT

Lu, Y., Huang, X., Dai, Y., Maharjan, S., & Zhang, Y. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2942190 · Cited by 1,245 · see citing works

Temporal Action Detection with Structured Segment Networks

Zhao, Y., Xiong, Y., Wang, L., Wu, Z., Tang, X., & Lin, D. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.317 · Cited by 892 · see citing works

On the effectiveness of address-space randomization

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Security Analysis of Emerging Smart Home Applications

Fernandes, E., Jung, J., & Prakash, A. (2016) · Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · doi:10.1109/sp.2016.44 · Cited by 698 · see citing works

Machine Learning DDoS Detection for Consumer Internet of Things Devices

Doshi, R., Apthorpe, N., & Feamster, N. (2018) · IEEE Security and Privacy Workshops (SPW) · doi:10.1109/spw.2018.00013 · Cited by 681 · see citing works

Features for Multi-target Multi-camera Tracking and Re-identification

Ristani, E., & Tomasi, C. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00632 · Cited by 556 · see citing works

Toward Interconnected Virtual Reality: Opportunities, Challenges, and Enablers

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Computer vision and deep learning techniques for pedestrian detection and tracking: A survey

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NILMTK

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Private memoirs of a smart meter

Molina–Markham, A., Shenoy, P. J., Fu, K. E., Cecchet, E., & Irwin, D. (2010) · doi:10.1145/1878431.1878446 · Cited by 515 · see citing works

Address obfuscation: an efficient approach to combat a board range of memory error exploits

Bhatkar, S., DuVarney, D. C., & Sekar, R. (2003) · USENIX Security Symposium · Cited by 509 · see citing works

Lessons from a Sensor Network Expedition

Szewczyk, R., Polastre, J., Mainwaring, A. M., & Culler, D. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24606-0_21 · Cited by 482 · see citing works

User Perceptions of Smart Home IoT Privacy

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Integrating conflicting data

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Clipper: A Low-Latency Online Prediction Serving System

Crankshaw, D., Wang, X., Zhou, G., Franklin, M. J., Gonzalez, J. E., & Stoica, I. (2016) · arXiv · doi:10.48550/arxiv.1612.03079 · Cited by 415 · see citing works

SoK: Security Evaluation of Home-Based IoT Deployments

Alrawi, O., Lever, C., Antonakakis, M., & Monrose, F. (2019) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp.2019.00013 · Cited by 405 · see citing works

Towards Automated Dynamic Analysis for Linux-based Embedded Firmware

Chen, D. D., Egele, M., Woo, M., & Brumley, D. (2016) · Network and Distributed System Security Symposium · doi:10.14722/ndss.2016.23415 · Cited by 377 · see citing works

Detection and tracking of pedestrians and vehicles using roadside LiDAR sensors

Zhao, J., Xu, H., Liu, H., Wu, J., Zheng, Y., & Wu, D. (2019) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2019.01.007 · Cited by 359 · see citing works

Sensor faults

Sharma, A. B., Golubchik, L., & Govindan, R. (2010) · ACM Transactions on Sensor Networks · doi:10.1145/1754414.1754419 · Cited by 348 · see citing works

Avatar: A Framework to Support Dynamic Security Analysis of Embedded Systems’ Firmwares

Zaddach, J., Bruno, L., Francillon, A., & Balzarotti, D. (2014) · Network and Distributed System Security Symposium · doi:10.14722/ndss.2014.23229 · Cited by 335 · see citing works

Advances in Multi-Sensor Data Fusion: Algorithms and Applications

Jiang, D., Zhuang, D., Huang, Y., & Fu, J. (2009) · Sensors · doi:10.3390/s91007771 · Cited by 335 · see citing works

Opportunistic IoT: Exploring the harmonious interaction between human and the internet of things

Guo, B., Zhang, D., Wang, Z., Yu, Z., & Zhou, X. (2013) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2012.12.028 · Cited by 333 · see citing works

Untitled work

(2017) · Networked Systems Design and Implementation · Cited by 329 · see citing works

SMART: Secure and Minimal Architecture for (Establishing a Dynamic) Root of Trust

Eldefrawy, K. (2012) · Graduate School and Research Center in Digital Science (EURECOM) · Cited by 321 · see citing works

Management and orchestration challenges in network functions virtualization

Mijumbi, R., Serrat, J., Gorricho, J., Latré, S., Charalambides, M., & Lopez, D. R. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7378433 · Cited by 291 · see citing works

VideoEdge: Processing Camera Streams using Hierarchical Clusters

Hung, C.-C., Ananthanarayanan, G., Bodik, P., Golubchik, L., Yu, M., Bahl, P., & Philipose, M. (2018) · 2018 IEEE/ACM Symposium on Edge Computing (SEC) · doi:10.1109/sec.2018.00016 · Cited by 287 · see citing works

A Survey on Human-in-the-Loop Applications Towards an Internet of All

Nunes, D., Zhang, P., & Silva, J. S. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2398816 · Cited by 284 · see citing works

SDN and Virtualization Solutions for the Internet of Things: A Survey

Bizanis, N., & Kuipers, F. A. (2016) · IEEE Access · doi:10.1109/access.2016.2607786 · Cited by 282 · see citing works

A Collaborative Approach to In-Place Sensor Calibration

Bychkovskiy, V., Megerian, S., Estrin, D. L., & Potkonjak, M. (2003) · Lecture notes in computer science · doi:10.1007/3-540-36978-3_20 · Cited by 268 · see citing works

Alpaca: intermittent execution without checkpoints

Maeng, K., Colin, A., & Lucia, B. (2017) · Proceedings of the ACM on Programming Languages · doi:10.1145/3133920 · Cited by 268 · see citing works

Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition

Bagautdinov, T., Alahi, A., Fleuret, F., Fua, P., & Savarese, S. (2017) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2017.365 · Cited by 261 · see citing works

A Framework for Reasoning About the Human in the Loop

Cranor, L. F. (2018) · Figshare · doi:10.1184/r1/6620651 · Cited by 256 · see citing works

Declarative Support for Sensor Data Cleaning

Jeffery, S. R., Alonso, G., Franklin, M. J. M., Hong, W., & Widom, J. (2006) · Lecture notes in computer science · doi:10.1007/11748625_6 · Cited by 249 · see citing works

Protecting consumer privacy from electric load monitoring

McLaughlin, S., McDaniel, P. D., & Aiello, W. A. (2011) · Proceedings of the ACM Conference on Computer and Communications Security · doi:10.1145/2046707.2046720 · Cited by 241 · see citing works

Photogrammetric and Lidar Data Registration Using Linear Features

Habib, A. F., Ghanma, M., Morgan, M., & Al-Ruzouq, R. I. (2005) · Photogrammetric Engineering & Remote Sensing · doi:10.14358/pers.71.6.699 · Cited by 239 · see citing works

Knock Knock, Who's There? Membership Inference on Aggregate Location Data

Pyrgelis, A., Troncoso, C., & Cristofaro, E. D. (2018) · Network and Distributed System Security Symposium · doi:10.14722/ndss.2018.23183 · Cited by 232 · see citing works

Action Recognition Using Rate-Invariant Analysis of Skeletal Shape Trajectories

Amor, B. B., Su, J., & Srivastava, A. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2015.2439257 · Cited by 223 · see citing works

What You Corrupt Is Not What You Crash: Challenges in Fuzzing Embedded Devices

Muench, M., Stijohann, J., Kargl, F., Francillon, A., & Balzarotti, D. (2018) · Proceedings 2018 Network and Distributed System Security Symposium · doi:10.14722/ndss.2018.23166 · Cited by 219 · see citing works

On-Demand Deep Model Compression for Mobile Devices: A Usage-Driven Model Selection Framework

Liu, S., Lin, Y., Zhou, Z., Nan, K., Liu, H., & Du, J. (2018) · Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services · doi:10.1145/3210240.3210337 · Cited by 217 · see citing works

Reprogramming wireless sensor networks: challenges and approaches

Wang, Q., Zhu, Y., & Cheng, L. L. (2006) · IEEE Network · doi:10.1109/mnet.2006.1637932 · Cited by 215 · see citing works

Bandwidth-Efficient Live Video Analytics for Drones Via Edge Computing

Wang, J., Feng, Z., Chen, Z., George, S., Bala, M., Pillai, P., Yang, S.-W., & Satyanarayanan, M. (2018) · 2018 IEEE/ACM Symposium on Edge Computing (SEC) · doi:10.1109/sec.2018.00019 · Cited by 204 · see citing works

Enhancing Privacy and Availability for Data Clustering in Intelligent Electrical Service of IoT

Xiong, J., Ren, J., Chen, L., Yao, Z., Lin, M., Wu, D., & Niu, B. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2842773 · Cited by 196 · see citing works

Non-Intrusive Occupancy Monitoring using Smart Meters

Chen, D., Barker, S., Subbaswamy, A., Irwin, D., & Shenoy, P. J. (2013) · ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys) · doi:10.1145/2528282.2528294 · Cited by 188 · see citing works

DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework

Yao, S., Zhao, Y., Zhang, A., Su, L., & Abdelzaher, T. (2017) · Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems · doi:10.1145/3131672.3131675 · Cited by 188 · see citing works

SmartAuth: User-Centered Authorization for the Internet of Things

Tian, Y., Zhang, N., Lin, Y., Wang, X., Ur, B., Guo, X., & Tague, P. (2017) · USENIX Security Symposium · Cited by 185 · see citing works

Network Reliability With Geographically Correlated Failures

Neumayer, S., & Modiano, E. (2010) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.2010.5461984 · Cited by 163 · see citing works

Blind calibration of sensor networks

Balzano, L., & Nowak, R. M. (2007) · doi:10.1145/1236360.1236372 · Cited by 159 · see citing works

Security flaws in 802.11 data link protocols

Cam-Winget, N., Housley, R., Wagner, D. A., & Walker, J. (2003) · Communications of the ACM · doi:10.1145/769800.769823 · Cited by 157 · see citing works

An obstacle detection method by fusion of radar and motion stereo

Kato, T., Ninomiya, Y., & Masaki, I. (2002) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2002.802932 · Cited by 150 · see citing works

FastDeepIoT

Yao, S., Zhao, Y., Shao, H., Liu, S., Liu, D., Su, L., & Abdelzaher, T. (2018) · ACM Conference on Embedded Networked Sensor Systems (SenSys) · doi:10.1145/3274783.3274840 · Cited by 144 · see citing works

DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction

Ballinger, B., Hsieh, J., Singh, A., Sohoni, N., Wang, J., Tison, G., Marcus, G., Sanchez, J., Maguire, C., Olgin, J., et al. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v32i1.11891 · Cited by 142 · see citing works

EPIC: A Differential Privacy Framework to Defend Smart Homes Against Internet Traffic Analysis

Liu, J., Zhang, C., & Fang, Y. M. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2799820 · Cited by 141 · see citing works

TrustShadow: Secure Execution of Unmodified Applications with ARM TrustZone

Guan, L., Liu, P., Xing, X., Ge, X., Zhang, S., Yu, M., & Jaeger, T. (2017) · International Conference on Mobile Systems, Applications, and Services · doi:10.1145/3081333.3081349 · Cited by 137 · see citing works

Intermittent computation without hardware support or programmer intervention

Woude, J. V. D., & Hicks, M. (2016) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · doi:10.5555/3026877.3026880 · Cited by 136 · see citing works

Minimizing private data disclosures in the smart grid

Yang, W., Li, N., Qi, Y., Qardaji, W. H., McLaughlin, S., & McDaniel, P. D. (2012) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/2382196.2382242 · Cited by 135 · see citing works

Privacy preserving Internet of Things: From privacy techniques to a blueprint architecture and efficient implementation

Jayaraman, P. P., Yang, X., Yavari, A., Georgakopoulos, D., & Yi, X. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.03.001 · Cited by 135 · see citing works

AVR

Qiu, H., Ahmad, F., Bai, F., Gruteser, M., & Govindan, R. (2018) · International Conference on Mobile Systems, Applications, and Services · doi:10.1145/3210240.3210319 · Cited by 126 · see citing works

Lock It and Still Lose It —on the (In)Security of Automotive Remote Keyless Entry Systems

Garcia, F. D., Oswald, D., Kasper, T., & Pavlidès, P. (2016) · University of Birmingham Research Portal (University of Birmingham) · doi:10.5555/3241094.3241166 · Cited by 123 · see citing works

HiRF: Hierarchical Random Field for Collective Activity Recognition in Videos

Amer, M. R., Lei, P., & Todorović, S. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10599-4_37 · Cited by 121 · see citing works

Program Analysis of Commodity IoT Applications for Security and Privacy

Celik, Z. B., Fernandes, E., Pauley, E., Tan, G., & McDaniel, P. D. (2019) · ACM Computing Surveys · doi:10.1145/3333501 · Cited by 118 · see citing works

Protecting Bare-Metal Embedded Systems with Privilege Overlays

Clements, A. A., Almakhdhub, N. S., Saab, K. K., Srivastava, P., Koo, J., Bagchi, S., & Payer, M. (2017) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp.2017.37 · Cited by 115 · see citing works

Internet of Things Security Research: A Rehash of Old Ideas or New Intellectual Challenges?

Fernandes, E., Rahmati, A., Eykholt, K., & Prakash, A. (2017) · IEEE Security & Privacy · doi:10.1109/msp.2017.3151346 · Cited by 114 · see citing works

Robust Vision-Based Relative-Localization Approach Using an RGB-Depth Camera and LiDAR Sensor Fusion

Song, H., Choi, W.-S., & Kim, H. (2016) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2016.2521346 · Cited by 113 · see citing works

Securing Real-Time Microcontroller Systems through Customized Memory View Switching

Kim, C. H., Kim, T., Choi, H., Gu, Z., Lee, B., Zhang, X., & Xu, D. (2018) · Network and Distributed System Security Symposium · doi:10.14722/ndss.2018.23107 · Cited by 104 · see citing works

vTZ: Virtualizing {ARM} TrustZone

Hua, Z., Gu, J., Xia, Y., Chen, H., Zang, B., & Guan, H. (2017) · USENIX Security Symposium · Cited by 100 · see citing works

Localizing Ground Penetrating RADAR: A Step Toward Robust Autonomous Ground Vehicle Localization

Cornick, M., Koechling, J. C., Stanley, B., & Zhang, B. (2015) · Journal of Field Robotics · doi:10.1002/rob.21605 · Cited by 99 · see citing works

A Survey of Rigid 3D Pointcloud Registration Algorithms

Bellekens, B., Spruyt, V., Berkvens, R., & Weyn, M. (2014) · Ghent University Academic Bibliography (Ghent University) · Cited by 93 · see citing works

Adaptive dynamic checkpointing for safe efficient intermittent computing

Maeng, K., & Lucia, B. (2018) · Operating Systems Design and Implementation · doi:10.5555/3291168.3291178 · Cited by 93 · see citing works

{HALucinator}: Firmware Re-hosting Through Abstraction Layer Emulation

Clements, A. A., Gustafson, E., Scharnowski, T., Grosen, P., Fritz, D., Kruegel, C., Vigna, G., Bagchi, S., & Payer, M. (2020) · eScholarship (California Digital Library) · Cited by 93 · see citing works

Software Defined Network (SDN) Based Internet of Things (IoT)

Khan, S., Shah, M. A., Khan, O. A., & Ahmed, A. W. (2017) · International Conference on Future Networks and Distributed Systems (ICFNDS) · doi:10.1145/3102304.3102319 · Cited by 91 · see citing works

An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking

Chen, W., Cao, L., Chen, X., & Huang, K. (2016) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2016.2589619 · Cited by 89 · see citing works

Learning Context-Aware Policies from Multiple Smart Homes via Federated Multi-Task Learning

Yu, T., Li, T., Sun, Y., Nanda, S., Smith, V., Sekar, V., & Seshan, S. (2020) · 2020 IEEE/ACM Fifth International Conference on Internet-of-Things Design and Implementation (IoTDI) · doi:10.1109/iotdi49375.2020.00017 · Cited by 85 · see citing works

{VRASED}: A Verified Hardware/Software Co-Design for Remote Attestation

Nunes, I. D. O., Eldefrawy, K., Rattanavipanon, N., Steiner, M., & Tsudik, G. (2019) · USENIX Security Symposium · Cited by 84 · see citing works

Adaptive low-overhead scheduling for periodic and reactive intermittent execution

Maeng, K., & Lucia, B. (2020) · Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation · doi:10.1145/3385412.3385998 · Cited by 84 · see citing works

Mobile Edge Computing, Blockchain and Reputation-based Crowdsourcing IoT Federated Learning: A Secure, Decentralized and Privacy-preserving System.Preprint

Zhao, Y., Zhao, J., Jiang, L., Tan, R., & Niyato, D. T. (2019) · arXiv (Cornell University) · Cited by 79 · see citing works

Distilling at the Edge: A Local Differential Privacy Obfuscation Framework for IoT Data Analytics

Xu, C., Ren, J., Zhang, D., & Zhang, Y. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2018.1701080 · Cited by 78 · see citing works

Online Detection of Action Start in Untrimmed, Streaming Videos

Shou, Z., Pan, J., Chan, J., Miyazawa, K., Mansour, H., Vetro, A., Giró-i-Nieto, X., & Chang, S. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-01219-9_33 · Cited by 76 · see citing works

A Reputation and Knowledge Based Trust Service Platform for Trustworthy Social Internet of Things

Lee, G., & Truong, N. (2016) · Liverpool John Moores University · Cited by 74 · see citing works

Cross-View People Tracking by Scene-Centered Spatio-Temporal Parsing

Xu, Y., Liu, X., Qin, L., & Zhu, S. C. (2017) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v31i1.11190 · Cited by 72 · see citing works

Blind Calibration of Sensor Networks

Balzano, L., & Nowak, R. D. (2007) · International Symposium on Information Processing in Sensor Networks (IPSN) · doi:10.1109/ipsn.2007.4379667 · Cited by 66 · see citing works

Distributed Sensing Using Smart End-User Devices: Pathway to Federated Learning for Autonomous IoT

Imteaj, A., & Amini, M. H. (2019) · 2019 International Conference on Computational Science and Computational Intelligence (CSCI) · doi:10.1109/csci49370.2019.00218 · Cited by 65 · see citing works

SeED

Ibrahim, A., Sadeghi, A., & Zeitouni, S. (2017) · ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec) · doi:10.1145/3098243.3098260 · Cited by 61 · see citing works

Quantifying data rate and bandwidth requirements for immersive 5G experience

Qi, Y., Hunukumbure, M., Nekovee, M., Lorca, J., & Sgardoni, V. (2016) · IEEE International Conference on Communications workshops · doi:10.1109/iccw.2016.7503829 · Cited by 52 · see citing works

Actor Conditioned Attention Maps for Video Action Detection

Ulutan, O., Rallapalli, S., Srivatsa, M., Torres, C., & Manjunath, B. S. (2020) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv45572.2020.9093617 · Cited by 48 · see citing works

Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant SetsPreprint

Tesfaye, Y. T., Zemene, E., Prati, A., Pelillo, M., & Shah, M. A. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1706.06196 · Cited by 47 · see citing works

Aveksha

Tancreti, M., Hossain, M. S., Bagchi, S., & Raghunathan, V. (2011) · ACM Conference on Embedded Networked Sensor Systems (SenSys) · doi:10.1145/2070942.2070972 · Cited by 44 · see citing works

ACES: Automatic Compartments for Embedded Systems.

Clements, A. A., Almakhdhub, N. S., Bagchi, S., & Payer, M. (2018) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · Cited by 43 · see citing works

Your IoTs Are (Not) Mine: On the Remote Binding Between IoT Devices and Users

Chen, J., Zuo, C., Diao, W., Dong, S., Zhao, Q., Sun, M., Lin, Z., Zhang, Y., & Zhang, K. (2019) · International Conference on Dependable Systems & Networks/Proceedings · doi:10.1109/dsn.2019.00034 · Cited by 43 · see citing works

Efficient incremental code update for sensor networks

Panta, R., Bagchi, S., & Midkiff, S. P. (2011) · ACM Transactions on Sensor Networks · doi:10.1145/1921621.1921624 · Cited by 42 · see citing works

Combined heat and privacy: Preventing occupancy detection from smart meters

Chen, D., Irwin, D., Shenoy, P. J., & Albrecht, J. R. (2014) · IEEE International Conference on Pervasive Computing and Communications · doi:10.1109/percom.2014.6813962 · Cited by 40 · see citing works

Caesar

Liu, X., Ghosh, P., Ulutan, O., Manjunath, B. S., Chan, K., & Govindan, R. (2019) · ACM Conference on Embedded Networked Sensor Systems (SenSys) · doi:10.1145/3356250.3360041 · Cited by 40 · see citing works

Reinventing Video Streaming for Distributed Vision Analytics

Pakha, C., Chowdhery, A., & Jiang, J. (2018) · USENIX conference on Hot Topics in Cloud Ccomputing · Cited by 39 · see citing works

Automatic fault characterization via abnormality-enhanced classification

Bronevetsky, G., Laguna, I., de Supinski, B. R., & Bagchi, S. (2012) · International Conference on Dependable Systems & Networks/Proceedings · doi:10.1109/dsn.2012.6263926 · Cited by 36 · see citing works

A Linear Feature-Based Approach for the Registration of Unmanned Aerial Vehicle Remotely-Sensed Images and Airborne LiDAR Data

Liu, S., Tong, X., Chen, J., Liu, X., Sun, W., Xie, H., Chen, P., Jin, Y., & Ye, Z. (2016) · Remote Sensing · doi:10.3390/rs8020082 · Cited by 36 · see citing works

A Survey on Object Detection, Classification and Tracking Methods

Ragland, K., & Tharcis, P. (2014) · Cited by 34 · see citing works

Minerva

Sommer, P., & Kusý, B. (2013) · ACM Conference on Embedded Networked Sensor Systems (SenSys) · doi:10.1145/2517351.2517355 · Cited by 32 · see citing works

Offloaded Execution of Deep Learning Inference at Edge: Challenges and Insights

Dey, S., Mondal, J., & Mukherjee, A. (2019) · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2019.8730817 · Cited by 31 · see citing works

Data Registration with Ground Points for Roadside LiDAR Sensors

Yue, R., Xu, H., Wu, J., Sun, R., & Yuan, C. (2019) · Remote Sensing · doi:10.3390/rs11111354 · Cited by 29 · see citing works

DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk PredictionPreprint

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Towards ensuring client-side computational integrity

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A Critical Overview of Industrial Internet of Things Security and Privacy Issues Using a Layer-Based Hacking Scenario

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A 5 μ W Standard Cell Memory-Based Configurable Hyperdimensional Computing Accelerator for Always-on Smart Sensing

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An Efficient Anomaly Detection Method for Industrial Control Systems: Deep Convolutional Autoencoding Transformer Network

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Exact Markov Chain of Random Propagation of Malware With Network-Level Mitigation

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ApproxNet: Content and Contention-Aware Video Object Classification System for Embedded Clients

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GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence

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Reflecting on Recurring Failures in IoT Development

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A Taxonomy of Security and Defense Mechanisms in Digital Twins-based Cyber-Physical Systems

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A Lightweight Mitigation Approach against a New Inundation Attack in RPL-Based IoT Networks

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"If security is required"

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Cryptography Securing Data in Motion Within Blockchain, Internet of Everything, and Federated Learning

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Insecurity of operational cellular IoT service

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Deep Learning-Based Autonomous Anomaly Detection for Security in SDN-IoT Networks

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Smartadapt: Multi-branch Object Detection Framework for Videos on Mobiles

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Delay and Energy Efficient Offloading Strategies for an IoT Integrated Water Distribution System in Smart Cities

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GothX: a generator of customizable, legitimate and malicious IoT network traffic

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Improving Fault Tolerance and Reliability of Heterogeneous Multi-Agent IoT Systems Using Intelligence Transfer

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Dissecting Operational Cellular IoT Service Security: Attacks and Defenses

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ApproxNet: Content and Contention-Aware Video Analytics System for Embedded ClientsPreprint

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Exploring Lightweight Deep Learning Techniques for Intrusion Detection Systems in IoT Networks: A Survey

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Enhancing Test Cases Prioritization for Internet of Things based systems using Search-based Technique

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TwinSync: A Digital Twin Synchronization Protocol for Bandwidth-Limited IoT Applications

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A novel IoT-based framework with Prognostics and Health Management and short term fire risk assessment in smart firefighting system

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Modelling Industrial IoT System Complexity

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SEC-DEC: A Social Trust-Based Video-Centric Network Leveraging Secure Device-Edge-Cloud Collaborations

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SIURU: A Framework for Machine Learning Based Anomaly Detection in IoT Network Traffic

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SUPnP: Secure Access and Service Registration for UPnP-Enabled Internet of Things

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Internet of Things for Environment Protection and Sustainable Living

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Reliability and availability of IoT devices in resource constrained environments

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AIoT and Its Trust Models to Enhance Societal Applications Using Intelligent Technologies

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VibeRing: Using vibrations from a smart ring as an out-of-band channel for sharing secret keys

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Research Trends in the Use of Machine Learning Applied in Mobile Networks: A Bibliometric Approach and Research Agenda

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Distributed Reinforcement Learning for IoT Security in Heterogeneous and Distributed Networks

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IoE: Towards application-specific technology selection

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Reviewing the Challenges in Maintaining the Reliability and Accuracy of IOT Systems for Remaining Useful Life Prediction

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A Secure FPGA-Based IoT Gateway for Smart Home Automation Using PUF-Based Authentication

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Internet of things applications for advancing sustainable development goals in Indonesia

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Challenges in Metaverse Research: An Internet of Things Perspective

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Federated Transfer Learning on the Edge: A Vision-Based Motor Rehabilitation System

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ALPAK: (Anonymized Lightweight PUF-based group Authentication with Key distribution) for IoT Devices

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SensorBFT: Fault-Tolerant Target Localization Using Voronoi Diagrams and Approximate Agreement

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Energy-Efficient Stochastic Computing (SC) Neural Networks for Internet of Things Devices With Layer-Wise Adjustable Sequence Length (ASL)

Wang, Z., Reviriego, P., Niknia, F., Gao, Z., Conde, J., Liu, S., & Lombardi, F. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3563942 · Cited by 1 · see citing works

Self‐sustainable wireless sensor network for low‐temperature application

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Exploring the Determinants of Successful IoT Adoption: The Case of German Manufacturing

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Reliability of a Reconfigurable Network with Segment Switching

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Advancing Network Security: A Big Data Analytics Approach to Trust and Integrity

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Survey of Cloud Traffic Anomaly Detection Algorithms

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A 5 \mu W Standard Cell Memory-based Configurable Hyperdimensional Computing Accelerator for Always-on Smart SensingPreprint

Eggimann, M., Rahimi, A., & Luca Benini, C. (2021) · arXiv (Cornell University) · Cited by 1 · see citing works

Modeling Exact Markov Chains for Malware based on Random PropagationPreprint

Carnier, R. M., Li, Y., Fujimoto, Y., & Shikata, J. (2023) · doi:10.36227/techrxiv.22047527 · Cited by 1 · see citing works

Complexity Space Modelling for Industrial Manufacturing Systems

Freund, L., Al-Majeed, S. S., & Millard, A. G. (2022) · International Journal of Computing and Digital Systems · doi:10.12785/ijcds/1201118

An Adaptive Swarm Intelligence-Based Task Scheduling Framework for Heterogeneous IoT Systems

Wang, Z., Sun, C., Li, S., Shen, C., & Xiao, G. (2021) · International Conference on Networks, Communication and Computing (ICNCC) · doi:10.1145/3510513.3510532

Modeling Exact Markov Chains for Malware based on Random PropagationPreprint

Carnier, R. M., Li, Y., Fujimoto, Y., & Shikata, J. (2023) · doi:10.36227/techrxiv.22047527.v1

A Comprehensive Framework for IoT-based Item Tracking: Integrating Load Distribution, Error Handling, and Security Measures

Jani, Y., & Jani, A. (2024) · International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) · doi:10.1109/i-smac61858.2024.10714690

Group Authentication and Key Management Protocol with Chinese Remainder Theorem in Multicast Communication

Singh, K. R., & Sethia, D. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-80842-5_17

Dependability Framework for Smart Tiny Edge Devices

Biswàs, S., & Neogy, S. (2024) · Springer eBooks · doi:10.1007/978-981-97-5157-0_63

THE INTERSECTION OF SECURITY AND RELIABILITY IN PLATFORM ENGINEERINGPreprint

Devan, K. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5049840

Security and Challenges of Blockchain-Based IoT Use Cases

Ajwalia, M., Mer, K., Bhatia, R., Shah, P. D., & Prajapati, P. (2025) · Lecture notes in networks and systems · doi:10.1007/978-981-97-9523-9_8

Evaluation and performance metrics for IoT security networks

Moheddine, A., Xu, J., Loscrì, V., & Rouvoy, R. (2025) · Elsevier eBooks · doi:10.1016/b978-0-44-329032-9.00007-5

Implementation of Internet of Things and Cloud Computing in an Environmental Monitoring System Using Temperature and Humidity Sensors

Abdurrohman (2025) · International Journal for Science Review · doi:10.71364/ijfsr.v2i7.61

Improving Smart Home Network Security via Blocking Malicious DNS Queries

Xu, K., Wang, F., Wang, H., & Steffens, N. (2025) · International Conference on Communications · doi:10.1109/icc52391.2025.11161308

Internet of Things Applications in Civil Engineering

Palaniappan, D., & Premavathi, T. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-5248-0.ch010

Application of machine learning/artificial intelligence and IoT in water resources modeling, management, and mitigation

Singh, V., Bachar, D., Karunarathna, R. M. D. M., Chaturvedi, S., Kumar, A., & Kumar, R. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-36394-8.00017-0

A Lightweight Plug-and-Play Model for Sensor Integration in Resource-Constrained IoT Devices

Nghia, N. D., Truong, V. X., Cù, V. L., Lê, H. T., Nguyen, H. P., & Minh, T. T. (2025) · RIVF International Conference on Computing and Communication Technologies (RIVF) · doi:10.1109/rivf68649.2025.11365196

Optimization of Switching Node Placement in a Multi-path Data Transmission Network with Nonuniform Path Lengths

Kien, L. V., & Kiem, D. M. (2026) · International Russian Smart Industry Conference (SmartIndustryCon) · doi:10.1109/smartindustrycon68821.2026.11492945

Incident Response Planning and Real-Time Event Correlation

Olasehan, O. A. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-4581-9.ch003

Disaster Recovery and Business Continuity for IIoT-Cloud Services

Olasehan, O. A. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-4581-9.ch001

μ Layer: Layer-Aware Microservice Placement to Maintain QoS in Edge Computing Under Bandwidth Uncertainty

Zarinfar, Z. K., Dolati, M., Rastegar, S. H., & Khonsari, A. (2026) · IEEE Internet of Things Journal · doi:10.1109/jiot.2026.3711809

Energy Efficiency for Green AIoT: A Comprehensive Survey

Has, M., Abdesslem, F. B., Kušek, M., & Žarko, I. P. (2026) · Applied Sciences · doi:10.3390/app16178749

Security and privacy in the Internet of Things: threats and challenges

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A Survey on IoT Security Challenges and Solutions

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