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IoT Network Security: Requirements, Threats, and Countermeasures

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arxiv 2008.09339 v1 pith:YSLLNFQQ submitted 2020-08-21 cs.CR cs.NI

classification cs.CRcs.NI
keywords securitynetworkattackscountermeasuresthreatsattackcontributiondiscuss
verification ladder T0 review T1 audit T2 compute T3 formal
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IoT devices are increasingly utilized in critical infrastructure, enterprises, and households. There are several sophisticated cyber-attacks that have been reported and many networks have proven vulnerable to both active and passive attacks by leaking private information, allowing unauthorized access, and being open to denial of service attacks. This paper aims firstly, to assist network operators to understand the need for an IoT network security solution, and then secondly, to survey IoT network attack vectors, cyber threats, and countermeasures with a focus on improving the robustness of existing security solutions. Our first contribution highlights viewpoints on IoT security from the perspective of stakeholders such as manufacturers, service providers, consumers, and authorities. We discuss the differences between IoT and IT systems, the need for IoT security solutions, and we highlight the key components required for IoT network security system architecture. For our second contribution, we survey the types of IoT attacks by grouping them based on their impact. We discuss various attack techniques, threats, and shortfalls of existing countermeasures with an intention to enable future research into improving IoT network security.

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Cited by 1 Pith paper

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  1. Enhancing IoT Network Security through Adaptive Curriculum Learning and XAI

    cs.CR 2025-01 conditional novelty 4.0 of 10

    A curriculum-learning neural network with LIME feature un-learning and ensemble stacking reports 97 to 98 percent accuracy on Edge-IIoT, CIC-APT-IIoT-2024, and CIC-IoV-2024 intrusion detection benchmarks.

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