Mitigating IoT Security Challenges Using Blockchain

ElKashlan, Mohamed; Azer, Marianne A.

doi:10.1109/icces51560.2020.9334644

Cited by 1 publication

(1 citation statement)

References 12 publications

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“…In recent years, artificial intelligence-based approaches have yielded significant results in security detection, including IoT security [28]. Improvements required to make IoT applications more secure and resilient without compromising their dependability were mentioned in [29]. In Table 8, we summarize the main enhancements to secure IoT applications.…”

Section: Network Segmentationmentioning

confidence: 99%

IoT Vulnerabilities and Attacks: SILEX Malware Case Study

Mukhtar,

Elsayed,

Jurcut

et al. 2023

Symmetry

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The Internet of Things (IoT) is rapidly growing and is projected to develop in future years. The IoT connects everything from Closed Circuit Television (CCTV) cameras to medical equipment to smart home appliances to smart automobiles and many more gadgets. Connecting these gadgets is revolutionizing our lives today by offering higher efficiency, better customer service, and more effective goods and services in a variety of industries and sectors. With this anticipated expansion, many challenges arise. Recent research ranked IP cameras as the 2nd highest target for IoT attacks. IoT security exhibits an inherent asymmetry where resource-constrained devices face attackers with greater resources and time, creating an imbalanced power dynamic. In cybersecurity, there is a symmetrical aspect where defenders implement security measures while attackers seek symmetrical weaknesses. The SILEX malware case highlights this asymmetry, demonstrating how IoT devices’ limited security made them susceptible to a relatively simple yet destructive attack. These insights underscore the need for robust, proactive IoT security measures to address the asymmetrical risks posed by adversaries and safeguard IoT ecosystems effectively. In this paper, we present the IoT vulnerabilities, their causes, and how to detect them. We focus on SILEX, one of the famous malware that targets IoT, as a case study and present the lessons learned from this malware.

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Section: Network Segmentationmentioning

confidence: 99%