The DOI matches its Crossref record; 13 of the 18 references it cites were found in a registry or an index.
A Novel Simplified Framework to Secure IoT Communications
Open accessAbstract
IoT devices are already in the process of becoming an essential part of our everyday lives. These devices specialize in performing a single operation efficiently. To maintain the privacy of user data, securing communication with these devices is essential. The plug-pair-play (P3) connection model uses the ZIP (zero interaction pairing) technique to set up a secured key for every pair of user and device so that the user doesn’t have to remember a complicated password. The command execution model provides an authentication mechanism for every transaction. Routing the transactions through the gateway allows for auditing, providing a zero-trust environment. The zero-trust (ZT) model described in this paper addresses confidentiality, integrity, and authentication triad of cybersecurity while ensuring that the interactions with these devices are seamless. The architecture described in this article makes security a backbone. The model described in this paper provides an end-to-end framework to secure the communication with these smart devices in a cloud-based architecture respecting the resource limitation of these devices. A novel simplified framework to secure IoT
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
Neshenko, N., Bou-Harb, E., Crichigno, J., Kaddoum, G., & Ghani, N. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2910750 · Cited by 827 · cited 1×
“Here are the common vulnerabilities of IoT devices that makes it a easy target for attackers (Neshenko et al., 2019; van Oorschot and Smith, 2019; Trappe et al., 2015; Bhattarai and Wang, 2018).”
BackgroundBotnets and Internet of Things Security
Bertino, E., & Islam, N. (2017) · Computer · doi:10.1109/mc.2017.62 · Cited by 678 · cited 1×
“Malware like Mirai are using these loop holes to convert these devices into botnets which are used to cause massive DDoS attacks (Bertino and Islam, 2017).”
Fog Computing for the Internet of Things: A Survey
Puliafito, C., Mingozzi, E., Longo, F., Puliafito, A., & Rana, O. (2019) · ACM Transactions on Internet Technology · doi:10.1145/3301443 · Cited by 323 · cited 1×
“Concepts like fog computing has brought the cloud closer to the appliances and services (Puliafito et al., 2019).”
BackgroundLow-Energy Security: Limits and Opportunities in the Internet of Things
Trappe, W., Howard, R., & Moore, R. S. (2015) · IEEE Security & Privacy · doi:10.1109/msp.2015.7 · Cited by 246 · cited 1×
“Here are the common vulnerabilities of IoT devices that makes it a easy target for attackers (Neshenko et al., 2019; van Oorschot and Smith, 2019; Trappe et al., 2015; Bhattarai and Wang, 2018).”
BackgroundExtended Functionality Attacks on IoT Devices: The Case of Smart Lights
Ronen, E., & Shamir, A. (2016) · 2016 IEEE European Symposium on Security and Privacy (EuroS&P) · doi:10.1109/eurosp.2016.13 · Cited by 216 · cited 1×
“To remove any doubt on this fact, there have been numerous experiments to prove that these devices can be easily hacked with readily available equipment (Ronen and Shamir, 2016).”
BackgroundNetworking solutions for connecting bluetooth low energy enabled machines to the internet of things
Nieminen, J., Gomez, C., Isomaki, M., Savolainen, T., Patil, B., Shelby, Z., Xi, M.-J., & Oller, J. (2014) · IEEE Network · doi:10.1109/mnet.2014.6963809 · Cited by 107 · cited 2×
“For connection initiation, we propose using Bluetooth 4.0 or Bluetooth LE (Nieminen et al., 2014).”
BackgroundMethodInfluentialA Survey on Authentication Techniques for the Internet of Things
Atwady, Y., & Hammoudeh, M. (2017) · International Conference on Future Networks and Distributed Systems · doi:10.1145/3102304.3102312 · Cited by 101 · cited 1×
“A certificate-based authentication technique was proposed to redress the issue of password-based authentication (Atwady and Hammoudeh, 2017).”
MethodApproximate Computing for Low Power and Security in the Internet of Things
Gao, M., Wang, Q., Arafin, M., Lyu, Y., & Qu, G. (2017) · Computer · doi:10.1109/mc.2017.176 · Cited by 65 · cited 1×
“Another research showed an approximation arithmetic computer-based information hiding technique to provide features like IP watermark, digital fingerprinting and lightweight encryption for ensuring energy efficiency to low power equipments (Gao et al., 2017).”
BackgroundEnd-to-End Trust and Security for Internet of Things Applications
Bhattarai, S., & Wang, Y. (2018) · Computer · doi:10.1109/mc.2018.2141038 · Cited by 41 · cited 2×
“Here are the common vulnerabilities of IoT devices that makes it a easy target for attackers (Neshenko et al., 2019; van Oorschot and Smith, 2019; Trappe et al., 2015; Bhattarai and Wang, 2018).”
BackgroundUslaner, E. (2004) · CACM · doi:10.1145/975817.975838 · Cited by 39 · cited 1×
“The author in this article (Uslaner, 2004) talks about the concept of trust which very much applies to IoT ecosystems.”
Background
Cited by
Future Industry Internet of Things with Zero-trust Security
Li, S., Iqbal, M., & Saxena, N. (2024) · Information Systems Frontiers · doi:10.1007/s10796-021-10199-5 · Cited by 128
PUFDCA: A Zero‐Trust‐Based IoT Device Continuous Authentication Protocol
Alshomrani, S., & Li, S. (2022) · Wireless Communications and Mobile Computing · doi:10.1155/2022/6367579 · Cited by 23
AI-Driven Anomaly Detection and Zero Trust Frameworks
Cruz, E. D. L., Prakash, C., & Rana, S. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-4581-9.ch009 · Cited by 1
Metadata
- Authors
- Bhattacharjya, S., & Saiedian, H.
- Affiliations
- University of Kansas (US)
- ORCID
- Saiedian, Hossein
- Venue
- Proceedings of the 7th International Conference on Information Systems Security and Privacy
- Published
- 2021
- Pages
- 399-406
- OpenAlex
- W3131657310
- Cited by
- 3
- References
- 18
- Citations by year
- 2026: 1 · 2022: 2
- FWCI
- 0.46
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- International Conference on Information Systems Security and Privacy (ICISSP) (publishedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Authentication Protocols Security
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Computer Networks and Communications › Security in Wireless Sensor Networks
- Keywords
- Internet of Things, Internet of Things security, secure communication
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Novel Simplified Framework to Secure IoT Communications. https://app.cochat.ai/papers/10.5220/0010210003990406
- The paper
- Bhattacharjya, S., & Saiedian, H. (2021). A Novel Simplified Framework to Secure IoT Communications. Proceedings of the 7th International Conference on Information Systems Security and Privacy. https://doi.org/10.5220/0010210003990406
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.