The Internet of Things: Secure Distributed Inference
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Abstract (arXiv)
The growth in the number of devices connected to the Internet of Things (IoT) poses major challenges in security. The integrity and trustworthiness of data and data analytics are increasingly important concerns in IoT applications. These are compounded by the highly distributed nature of IoT devices, making it infeasible to prevent attacks and intrusions on all data sources. Adversaries may hijack devices and compromise their data. As a result, reactive countermeasures, such as intrusion detection and resilient analytics, become vital components of security. This paper overviews algorithms for secure distributed inference in IoT.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Jun 2018.
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Citing papers per year: 2021: 5; 2022: 3; 2023: 1.
9 papers.
- 2021BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learningcited by 12
- 2021Robust Distributed Optimization With Randomly Corrupted Gradientscited by 6
- 2022Federated Multi-Armed Bandits Under Byzantine Attackscited by 6
- 2021Robust Federated Learning via Over-The-Air Computationcited by 5
- 2022Over-The-Air Federated Learning under Byzantine Attackscited by 4
- 2021Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learningcited by 1
- 2021Byzantine-Robust Federated Learning via Credibility Assessment on Non-IID Datacited by 1
- 2022Design and Analysis of Robust Resilient Diffusion over Multi-Task Networks Against Byzantine Attackscited by 0
- 2023Spatially-resolved hyperlocal weather prediction and anomaly detection using IoT sensor networks and machine learning techniquescited by 0
- 2023Spatially-resolved hyperlocal weather prediction and anomaly detection using IoT sensor networks and machine learning techniques17 Oct 2023
- 2022Design and Analysis of Robust Resilient Diffusion over Multi-Task Networks Against Byzantine Attacks25 Jun 2022
- 2022Federated Multi-Armed Bandits Under Byzantine Attacks9 May 2022
- 2022Over-The-Air Federated Learning under Byzantine Attacks5 May 2022
- 2021Robust Federated Learning via Over-The-Air Computation1 Nov 2021
- 2021Byzantine-Robust Federated Learning via Credibility Assessment on Non-IID Data6 Sep 2021
- 2021Robust Distributed Optimization With Randomly Corrupted Gradients28 Jun 2021
- 2021Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning13 Jun 2021
- 2021BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learning14 Apr 2021