Review of security issues in Internet of Things and artificial intelligence‐driven solutions

Abstract

Internet of Things (IoT) is a network of several hardware and software systems which is broadly based upon internet services and several state-of-the-art sensing and communication technologies. The emergence of 5G technology will witness a further surge in the growth of IoT across the world but simultaneously security concerns pertinent to the IoT technology also need rigorous evaluations. This article will present a thorough survey of the security challenges in an IoT network, recent cases of attacks on IoT technology, communication protocols prevalent in IoT systems and the role of artificial intelligence (AI) in IoT security. For the first time, all the major attributes related to IoT security along with potential solutions using AI are reviewed and articulated together. This work would act as a useful resource for understanding useful perspectives in future research focused around the development of more secured IoT communication protocols as well as AI tools for handling privacy and security in IoT.

Exploring the Impact of METO Factors with Data Privacy Changes at IoT Systems: A Comprehensive Review

“…They particularly underscore the imperative for robust policy enforcement and effective governance of sensitive data [24,26,29]. Finally, education and training management played a massively important role in understanding how to assess the risks associated with changes in data privacy issues, as evidenced by studies on privacy ethics [30,31], explorations in the continuous learning process, models, and frameworks [27,28,32], as well as education assets, which encompassed gaps, challenges, and directions [10,11,15,16,18,26,32,33,34,35,36]. These findings resulted in insights into factors, subfactors, and issues from management perspectives, as shown in Table 3.…”

“…Education Assets [24], [43] SStudy Personal Privacy Assistant Security Awareness and Training Education Assets [10][11][12][13][14][15][16][17][18], [26], [32][33][34][35][36] The study continues on privacy challenges and directions.…”

Building Trust in Fintech: An Analysis of Ethical and Privacy Considerations in the Intersection of Big Data, AI, and Customer Trust

“…Regular audits, employee training on data-protection practices, and procedures for detecting and addressing data-privacy breaches are also essential (Abidin et al 2019). When using AI systems, careful data analysis and privacy-preserving machine-learning techniques are necessary to prevent confounding bias and illegal access to personal data (Abed and Anupam 2022).…”

Synergy between AI and Optical Metasurfaces: A Critical Overview of Recent Advances

“…Nowadays, there is probably no literate person who has not at least heard about artificial intelligence (AI) [1][2][3]. With the number of its practical applications steadily rising, many people have already been in contact with at least some form of AI-be it in a modern smartphone with built-in AI chips [4,5], the Internet [6] and Internet of Things [7], public services [8], or even domestic appliances in smart homes [9]. Generative AI already has natural conversations with people [10] and generates art (paints and draws pictures or generates them in a photorealistic 3D manner, composes music, writes fiction, creates animations or concept art, etc.)…”