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Security, Privacy, and Trust on Internet of Things
Author(s) -
Constantinos Kolias,
Weizhi Meng,
Georgios Kambourakis,
Jiageng Chen
Publication year - 2019
Publication title -
wireless communications and mobile computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.42
H-Index - 64
eISSN - 1530-8677
pISSN - 1530-8669
DOI - 10.1155/2019/6452157
Subject(s) - computer science , internet of things , internet privacy , computer security , privacy software , information privacy , web of things , privacy protection , world wide web
The ability of smart objects to stay connected to the Internet for purposes of transmitting and receiving data is referred to as the Internet of Things (IoT). As per recent estimates, the number of IoT devices will surpass 50 billion by 2020. Unsurprisingly, this mushrooming of IoT devices has drawn the attention of attackers who seek to exploit them for their own benefit, with the Mirai botnet being perhaps the most prominent example of IoT specific malware [1, 2]. Basically, IoT brings along a plethora of potential security and privacy risks to the end-users, including the unsanctioned access and abuse of private information, the enabling and strengthening of assaults against other systems, and the breeding of risks pertaining to personal safeness [3]. Especially, IoT facilitates the creation of an assortment of privacy risks to the consumer associated with the collection of personal and sensitive information, like their preferences, locations, habits, and so on. In the midor long-run these pieces of data can be used to, say, profile or impersonate the user or group of interest. On the other hand, such risks to security, privacy, and trust may significantly diminish end-user’s confidence in IoT and therefore impede its full realization. The feature topic at hand intends to promote the dissemination of the latest methodologies, solutions, and case studies pertaining to IoT security, privacy, and trust issues. Its objective is to publish high-quality articles presenting security algorithms, protocols, policies, frameworks, and solutions for the IoT ecosystem. The goal of this special issue was to attract high-quality contributions from researchers working in the broad area of security, privacy, and trust for IoT ecosystems, including but not limited to (a) cloud computing-based security solutions for IoT data, (b) mobile service privacy for IoT devices, (c) standardization efforts related to IoT, (d) testbeds and case studies for IoT, (e) Intrusion detection for IoT, (f) trust management for IoT, and (g) virtualization solutions to IoT security

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