Denial-of-Service detection in 6LoWPAN based Internet of Things

By Prabhakaran Kasinathan, Claudio Pastrone, Maurizio A. Spirito, Mark Vinkovits. IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, 2013

311 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/72e8494510d9dbeb2d75e9677bd17faeabc5d8cf

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In Computer Networks and Communications

Citations in the corpus

Security in Internet of Things: issues, challenges, taxonomy, and architecture (2017, methodology): “[79] proposed a framework to detect denial of service attacks in 6LoWPAN and IEEE 802.”
A Review on Machine Learning and Deep Learning Perspectives of IDS for IoT: Recent Updates, Security Issues, and Challenges (2020, methodology): “To address this issue, a wired connection between the IDS sensors is suggested in [36, 37].”
Intrusion detection systems for IoT-based smart environments: a survey (2018, methodology): “(2013) [88] NIDS Rule model & Signature model 1- Detection of DoS attacks in 6LoWPAN”
Cyber-physical systems security: Limitations, issues and future trends (2020, methodology): “In [332], [333], Kasinathan et al. deployed a centralized placement that allows them to take into consideration the possibility of overcoming DoS attacks, where in case of a DoS attack, the IDS data transmission would not be affected.”
Machine Learning Based Intrusion Detection Systems for IoT Applications (2019, unknown): “Kasinathan et al. [39] proposed a signature-based IDS framework for detecting DoS attack in IoT.”
A Supervised Intrusion Detection System for Smart Home IoT Devices (2019, unknown): “[22], [40], [41], [15]) have demonstrated that IoT devices are vulnerable to a wide range of attacks including network attacks, physical attacks, firmware attacks, and data leakage.”
Internet of things security: A top-down survey (2018, background): “[67], [82], [6] [82], [6] [67], [6] - - [6] -”
A survey of intrusion detection in Internet of Things (2017, methodology): “Out of the 18 investigated works, 4 conducted the validation using empirical methods and operational settings [39, 45, 44, 49].”
A Review of Intrusion Detection Systems Using Machine and Deep Learning in Internet of Things: Challenges, Solutions and Future Directions (2020, methodology): “The authors in [100] extended the work published in [99] by proposing modifications in signature matching techniques.”
Secure routing for internet of things: A survey (2016, background): “Sybil and Clone ID Confidentiality & Integrity attack Route compromise and traffic unreachable to victim’s node Routing attacks and countermeasures in RPL-Based IoT [43] Denial of Service Availability attack Resources unavailable to nodes Intended user IDS based solution [66] Blackhole Availability,”