Evaluating Awareness and Perception of Botnet Activity within Consumer Internet-of-Things (IoT) Networks

McDermott, Christopher D.; Isaacs, John P.; Petrovski, Andrei

doi:10.3390/informatics6010008

Cited by 23 publications

(13 citation statements)

References 29 publications

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“…The results indicated that mirai botnet is more resilient and supports more effective attacks. An evaluation on how users perceive security and privacy in IoT devices with respect to botnet activities was conducted by McDermott et al [24]. The authors utilised experiments to examine users' ability to detect threats.…”

Section: A Rq1:what Are the Contributions Of The Primary Studies?mentioning

confidence: 99%

Systematic Literature Review on IoT-Based Botnet Attack

et al. 2020

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The adoption of the Internet of Things (IoT) technology is expanding exponentially because of its capability to provide a better service. This technology has been successfully implemented on various devices. The growth of IoT devices is massive at present. However, security is becoming a major challenge with this growth. Attacks, such as IoT-based botnet attacks, are becoming frequent and have become popular amongst attackers.IoT has a resource constraint and heterogeneous environments, such as low computational power and memory. Hence, these constraints create problems in implementing a security solution in IoT devices. Therefore, various kind of attacks are possible due to this vulnerability, with IoT-based botnet attack being one of the most popular.In this study, we conducted a comprehensive systematic literature review on IoT-based botnet attacks. Existing state of the art in the area of study was presented and discussed in detail. A systematic methodology was adopted to ensure the coverage of all important studies. This methodology was detailed and repeatable. The review outlined the existing proposed contributions, datasets utilised, network forensic methods utilised and research focus of the primary selected studies. The demographic characteristics of primary studies were also outlined.The result of this review revealed that research in this domain is gaining momentum, particularly in the last 3 years (2018-2020). Nine key contributions were also identified, with Evaluation, System, and Model being the most conducted.

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Section: A Rq1:what Are the Contributions Of The Primary Studies?mentioning

confidence: 99%

Systematic Literature Review on IoT-Based Botnet Attack

et al. 2020

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“…McDermott et al [8] demonstrate that users are aware of the challenges related to the security and privacy of devices within their home network, but the majority simply lack the skills, technology and knowledge necessary to identify potential vulnerabilities. This gap between user awareness and technical ability is an issue that should be addressed to provide the average consumer with the means to accurately monitor their own devices for security issues.…”

Section: Introductionmentioning

confidence: 99%

Network Traffic Analysis for Threat Detection in the Internet of Things

Hammoudeh

Pimlott

Belguith

et al. 2020

IEEE Internet Things M.

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As the prevalence of the Internet of Things (IoT) continues to increase, cyber criminals are quick to exploit the security gaps that many devices are inherently designed with. Whilst users can not be expected to tackle this threat alone, many current solutions available for network monitoring are simply not accessible or can be difficult to implement for the average user and is a gap that needs to be addressed. This paper presents an effective signature-based solution to monitor, analyse and detect potentially malicious traffic for IoT ecosystems in the typical home network environment by utilising passive network sniffing techniques and a cloud-application to monitor anomalous activity. The proposed solution focuses on two attack and propagation vectors leveraged by the infamous Mirai botnet, namely DNS and Telnet. Experimental evaluation demonstrates the proposed solution can detect 98.35% of malicious DNS traffic and 99.33% of Telnet traffic respectively; for an overall detection accuracy of 98.84%.

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“…However, they might not necessarily have the security expertise and budget allocated to conduct security processes such as threat modelling, risk assessment and security audits. This can result in poor quality and insecure systems that could be relatively easily exploited by hackers due to several security vulnerabilities they may contain [17,18].…”

Section: Introductionmentioning

confidence: 99%

Openness and Security Thinking Characteristics for IoT Ecosystems

Vogel

Kajtazi²,

Bugeja

et al. 2020

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While security is often recognized as a top priority for organizations and a push for competitive advantage, repeatedly, Internet of Things (IoT) products have become a target of diverse security attacks. Thus, orchestrating smart services and devices in a more open, standardized and secure way in IoT environments is yet a desire as much as it is a challenge. In this paper, we propose a model for IoT practitioners and researchers, who can adopt a sound security thinking in parallel with open IoT technological developments. We present the state-of-the-art and an empirical study with IoT practitioners. These efforts have resulted in identifying a set of openness and security thinking criteria that are important to consider from an IoT ecosystem point of view. Openness in terms of open standards, data, APIs, processes, open source and open architectures (flexibility, customizability and extensibility aspects), by presenting security thinking tackled from a three-dimensional point of view (awareness, assessment and challenges) that highlight the need to develop an IoT security mindset. A novel model is conceptualized with those characteristics followed by several key aspects important to design and secure future IoT systems.

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Evaluating Awareness and Perception of Botnet Activity within Consumer Internet-of-Things (IoT) Networks

Cited by 23 publications

References 29 publications

Systematic Literature Review on IoT-Based Botnet Attack

Systematic Literature Review on IoT-Based Botnet Attack

Network Traffic Analysis for Threat Detection in the Internet of Things

Openness and Security Thinking Characteristics for IoT Ecosystems

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