Guizani, Mohsen

M2M Communications in 5G: State-of-the-Art Architecture, Recent Advances, and Research Challenges

Mehmood, Y., Haider, N., Imran, M., Timm-Giel, A., & Guizani, M. (2017) · IEEE Communications Magazine

IoT Networks and ProtocolsIoT and Edge/Fog Computing

Cited by 115

A synergetic trust model based on SVM in underwater acoustic sensor networks

Han, G., He, Y., Jiang, J., Wang, N., Guizani, M., & Ansere, J. A. (2019) · IEEE Transactions on Vehicular Technology

Underwater Vehicles and Communication SystemsSecurity in Wireless Sensor Networks

Cited by 106

Security and privacy preservation in fog-based crowd sensing on the internet of vehicles

Sun, G., Sun, S., Sun, J., Yu, H., Du, X., & Guizani, M. (2019) · Journal of Network and Computer Applications

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 79

A novel deep learning strategy for classifying different attack patterns for deep brain implants

Rathore, H., Al-Ali, A. K., Mohamed, A., Du, X., & Guizani, M. (2019) · IEEE Access

Deep Brain Stimulation and Movement DisordersAdversarial Robustness in Machine Learning

Cited by 65

SILedger: A Blockchain and ABE-based Access Control for Applications in SDN-IoT Networks

Ren, W., Sun, Y., Luo, H., & Guizani, M. (2021) · IEEE Transactions on Network and Service Management

Blockchain Technology Applications and SecurityAccess Control and Trust

Cited by 60

COVID-19 optimizer algorithm, modeling and controlling of coronavirus distribution process

Hosseini, E., Ghafoor, K. Z., Sadiq, A. S., Guizani, M., & Emrouznejad, A. (2020) · IEEE Journal of Biomedical and Health Informatics

Metaheuristic Optimization Algorithms ResearchCOVID-19 epidemiological studies

Cited by 55

Traffic Analysis Attacks on Tor: A Survey

Basyoni, L., Fetais, N., Erbad, A., Mohamed, A., & Guizani, M. (2020) · 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)

Internet Traffic Analysis and Secure E-votingPrivacy, Security, and Data Protection

Cited by 54

Information-Centric Network-Based Vehicular Communications: Overview and Research Opportunities

Din, I. U., Kim, B.-S., Hassan, S., Guizani, M., Atiquzzaman, M., & Rodrigues, J. J. P. C. (2018) · Sensors

Vehicular Ad Hoc Networks (VANETs)Caching and Content Delivery

Cited by 50

DwaRa: A Deep Learning-Based Dynamic Toll Pricing Scheme for Intelligent Transportation Systems

Shukla, A., Bhattacharya, P., Tanwar, S., Kumar, N., & Guizani, M. (2020) · IEEE Transactions on Vehicular Technology

Blockchain Technology Applications and SecurityTraffic Prediction and Management Techniques

Cited by 41

A blockchain and deep neural networks-based secure framework for enhanced crop protection

Hassija, V., Batra, S., Chamola, V., Anand, T., Goyal, P., Goyal, N., & Guizani, M. (2021) · Ad Hoc Networks

Blockchain Technology Applications and SecuritySmart Agriculture and AI

Cited by 40

ISDNet: AI-enabled Instance Segmentation of Aerial Scenes for Smart Cities

Garg, P., Chakravarthy, A. S., Mandal, M., Narang, P., Chamola, V., & Guizani, M. (2021) · ACM Transactions on Internet Technology

Advanced Neural Network ApplicationsRemote-Sensing Image Classification

Cited by 32

IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode

Zhang, P., Wang, C., Aujla, G. S., Kumar, N., & Guizani, M. (2020) · IEEE Transactions on Vehicular Technology

Software-Defined Networks and 5GVehicular Ad Hoc Networks (VANETs)

Cited by 32

Digital twin for wireless networks: security attacks and solutions

Wang, W., Yang, Y., Khan, L. U., Niyato, D., Han, Z., & Guizani, M. (2024) · IEEE Wireless Communications

Smart Grid Security and ResilienceAdversarial Robustness in Machine Learning

Cited by 30

Employing Intelligent Aerial Data Aggregators for the Internet of Things: Challenges and Solutions

Li, K., Ni, W., Noor, A., & Guizani, M. (2022) · IEEE Internet of Things Magazine

UAV Applications and OptimizationIoT Networks and Protocols

Cited by 11

Exploring Adversarial Graph Autoencoders to Manipulate Federated Learning in The Internet of Things

Li, K., Yuan, X., Zheng, J., Ni, W., & Guizani, M. (2023) · 2023 International Wireless Communications and Mobile Computing (IWCMC)

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 8

A high-performance virtual machine filesystem monitor in cloud-assisted cognitive IoT

Zhan, D., Ye, L., Zhang, H., Fang, B., Li, H., Liu, Y., Du, X., & Guizani, M. (2018) · Future Generation Computer Systems

Security and Verification in ComputingCloud Data Security Solutions

Cited by 8

Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data

Abdellatif, A. A., Mhaisen, N., Mohamed, A., Erbad, A., Guizani, M., Dawy, Z., & Nasreddine, W. (2022) · Future Generation Computer Systems

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 4