Machine-learning-based vulnerability detection and classification in internet of things device security
SB Hulayyil, S Li, L Xu - Electronics, 2023 - mdpi.com
Detecting cyber security vulnerabilities in the Internet of Things (IoT) devices before they are
exploited is increasingly challenging and is one of the key technologies to protect IoT …
exploited is increasingly challenging and is one of the key technologies to protect IoT …
A survey of security vulnerability analysis, discovery, detection, and mitigation on IoT devices
M Yu, J Zhuge, M Cao, Z Shi, L Jiang - Future Internet, 2020 - mdpi.com
With the prosperity of the Internet of Things (IoT) industry environment, the variety and
quantity of IoT devices have grown rapidly. IoT devices have been widely used in smart …
quantity of IoT devices have grown rapidly. IoT devices have been widely used in smart …
Analysis of consumer IoT device vulnerability quantification frameworks
SA Baho, J Abawajy - Electronics, 2023 - mdpi.com
The increasing deployment of Internet of Things (IoT) devices in mission-critical systems has
made them more appealing to attackers. Cyberattacks on IoT devices have the potential to …
made them more appealing to attackers. Cyberattacks on IoT devices have the potential to …
Cybersecurity Risk Analysis in the IoT: A Systematic Review
TS AlSalem, MA Almaiah, A Lutfi - Electronics, 2023 - mdpi.com
The Internet of Things (IoT) is increasingly becoming a part of our daily lives, raising
significant concerns about future cybersecurity risks and the need for reliable solutions. This …
significant concerns about future cybersecurity risks and the need for reliable solutions. This …
Internet of things (iot) security intelligence: a comprehensive overview, machine learning solutions and research directions
Abstract The Internet of Things (IoT) is one of the most widely used technologies today, and
it has a significant effect on our lives in a variety of ways, including social, commercial, and …
it has a significant effect on our lives in a variety of ways, including social, commercial, and …
Consumer, commercial, and industrial iot (in) security: Attack taxonomy and case studies
C Xenofontos, I Zografopoulos… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) devices are becoming ubiquitous in our lives, with applications
spanning from the consumer domain to commercial and industrial systems. The steep …
spanning from the consumer domain to commercial and industrial systems. The steep …
Detections of iot attacks via machine learning-based approaches with cooja
Once hardware becomes" intelligent", it is vulnerable to threats. Therefore, IoT ecosystems
are susceptible to a variety of attacks and are considered challenging due to heterogeneity …
are susceptible to a variety of attacks and are considered challenging due to heterogeneity …
Machine learning algorithms for preventing IoT cybersecurity attacks
S Chesney, K Roy, S Khorsandroo - Intelligent Systems and Applications …, 2021 - Springer
The goal of this paper is to understand the effectiveness of machine learning (ML)
algorithms in combatting IoT-related cyber-attacks, with a focus on Denial of Service (DoS) …
algorithms in combatting IoT-related cyber-attacks, with a focus on Denial of Service (DoS) …
[HTML][HTML] Energy-based approach for attack detection in IoT devices: A survey
V Merlino, D Allegra - Internet of Things, 2024 - Elsevier
The proliferation of Internet of Things (IoT) devices has revolutionized multiple sectors,
promising significant societal benefits. With an estimated 29 billion IoT devices expected to …
promising significant societal benefits. With an estimated 29 billion IoT devices expected to …
An automated context-aware IoT vulnerability assessment rule-set generator
While introducing unprecedented applications, Internet of Things (IoT) has simultaneously
provoked acute security challenges, in the form of the vulnerabilities. Mainly because …
provoked acute security challenges, in the form of the vulnerabilities. Mainly because …