Security in Internet of Things

Author:

Abrar Said Ul1,Ullah Kamran1,Zahid Saleem1,Ullah Mohib1,Khan Irfan Ullah2,Haq Muhammad Inam Ul3ORCID

Affiliation:

1. The University of Agriculture, Peshawar, Pakistan

2. Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

3. Khushal Khan Khattak University, Karak, Pakistan

Abstract

Recently, electronics devices, cognitive computing, and sensing enable the deployment of internet-of-things (IoTs) with a huge application domain. However, resource constraints such as low computing powers or limited storage leave IoTs infrastructures vulnerable to a variety of cyber-attacks. In dark-net the address space developed as designated unrestricted internet address space anticipated to be used by trustworthy hosts anywhere in the world, therefore, any communication activity is presumed to be unwanted and particularly treated as a probe, backscatter, or miss-configuration. This chapter investigates and evaluates the operation of dark-net traffic detection systems in IoTs networks. Moreover, the most recent work done to ensure security in the IoTs network has been discussed. In particular, the areas of privacy provisioning, lightweight cryptographic framework, secure routing, robustness, and DoS attacks have been addressed. Moreover, based on the analysis of existing state-of-the-art protocols, the security requirements and challenges are highlighted along with identified open issues.

Publisher

IGI Global

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Reinforcement Learning Approach for IoT Security using CyberBattleSim: A Simulation-based Study;2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS);2024-04-24

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