Botnets and Internet of Things Security

By Elisa Bertino, N. Islam. Computer, 2017

604 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/7ec61ba81a7707e5a06591c984a0660719340d8a

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Citations in the corpus

A Review of Intrusion Detection Systems Using Machine and Deep Learning in Internet of Things: Challenges, Solutions and Future Directions (2020, methodology): “Mirai can be used as an example of a botnet attack through for compromising IoT systems [11,55,56].”
A Survey of Random Forest Based Methods for Intrusion Detection Systems (2018, methodology): “As an example, we mention the Mirai Botnet in 2016 which compromised more than 100,000 devices and was used for DDoS attacks over 1Tbps (Bertino and Islam 2017; Hallman et al. 2017).”
Smart Contract-Based Access Control for the Internet of Things (2018, methodology): “, data, services, storage units, and computing units) by simply deploying their own or compromising existing IoT devices [5], [6].”
A Survey on Metaverse: Fundamentals, Security, and Privacy (2022, background): “For example, hackers may deduce users’ privacy information by frequent queries via differential attacks [89] and even compromise the cloud/edge storage via distributed denial-of-service (DDoS) attacks [93].”
Applications of Blockchains in the Internet of Things: A Comprehensive Survey (2019, background): “Identiﬁed in August 2016, the Mirai botnet mounted the most potent attack against IoT security, by compromising IoT devices and generating malicious trafﬁc in the degree of Tbps [146].”
Network Intrusion Detection for IoT Security Based on Learning Techniques (2019, background): “Unfortunately, traditional NIDS techniques may be less efficient and/or inadequate for IoT systems due to characteristic changes like constrained resources, limited power, heterogeneity and connectivity [9], [10].”
A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems (2019, background): “In this vein, the vulnerabilities of IoT devices can be exploited to create large-scale botnets and to launch massive DDoS attacks [71].”
Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures (2019, background): “tion among commercial off the shelf IoT products [161], the following are deduced: On average, 25 vulnerabilities are detected per device, 60% had vulnerable interfaces and”
Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey (2020, background): “In recent years, a unique IoT botnet virus named Mirai was responsible for introducing destructive DDoS attacks that have damaged thousands of IoT devices thorugh interferences [44]-[48].”
Machine Learning in IoT Security: Current Solutions and Future Challenges (2019, background): “The authors tested the well-known malware such as Mirai and its different variations.”
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018, background): “Mirai is an exceptional type of botnets that has recently caused large-scale DDoS attacks by using IoT devices [7], [9].”