RSS based multistage statistical method for attack detection and localization in IoT networks

Author:

Saxena Shubham,Pandey AnkurORCID,Kumar Sudhir

Funder

Department of Science and Technology, Ministry of Science and Technology, India

Publisher

Elsevier BV

Subject

Software,Computer Science Applications,Hardware and Architecture,Computer Networks and Communications,Information Systems

Reference37 articles.

1. Adaptive mini-batch gradient-ascent-based localization for indoor IoT networks under Rayleigh fading conditions;Pandey;IEEE Internet Things J.,2020

2. A critical review of practices and challenges in intrusion detection systems for IoT: Toward universal and resilient systems;Benkhelifa;IEEE Commun. Surv. Tutor.,2018

3. Internet of things security and forensics: Challenges and opportunities;Conti,2018

4. A multistage RSSI-based scheme for node compromise detection in IoT networks;Saxena,2019

5. The robustness of localization algorithms to signal strength attacks: A comparative study;Chen,2006

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2. MAG-JAM: Jamming Detection via Magnetic Emissions;Lecture Notes in Computer Science;2024

3. Jamming Detection in Low-BER Mobile Indoor Scenarios via Deep Learning;IEEE Internet of Things Journal;2023

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