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Cyber-physical security for IoT networks: a comprehensive review on traditional, blockchain and artificial intelligence based key-security
The recent years have garnered huge attention towards the Internet of Things (IoT) because
it enables its consumers to improve their lifestyles and professionally keep up with the …
it enables its consumers to improve their lifestyles and professionally keep up with the …
IoT malware: An attribute-based taxonomy, detection mechanisms and challenges
During the past decade, the Internet of Things (IoT) has paved the way for the ongoing
digitization of society in unique ways. Its penetration into enterprise and day-to-day lives …
digitization of society in unique ways. Its penetration into enterprise and day-to-day lives …
Survey: Self-empowered wireless sensor networks security taxonomy, challenges, and future research directions
In the recent past, patient-wearable devices and implantable biosensors revealed
exponential growth in digital healthcare, because they have the capability to allow access to …
exponential growth in digital healthcare, because they have the capability to allow access to …
SNDMI: Spyware network traffic detection method based on inducement operations
Spyware is a type of malware widely used by attackers to steal confidential information from
users without their knowledge. It has the characteristics of high latency, high stealth, and …
users without their knowledge. It has the characteristics of high latency, high stealth, and …
Data protection and security enhancement in cyber-physical systems using AI and blockchain
Cyber-Physical systems termed as CPS is a system which is an incorporation of both
computational algorithms and physical components. Several applications such as smart …
computational algorithms and physical components. Several applications such as smart …
Comprehensive analysis of iot malware evasion techniques
A Al-Marghilani - Engineering, Technology & Applied Science Research, 2021 - etasr.com
Malware detection in Internet of Things (IoT) devices is a great challenge, as these devices
lack certain characteristics such as homogeneity and security. Malware is malicious software …
lack certain characteristics such as homogeneity and security. Malware is malicious software …
Erudite: Human-in-the-loop iot for an adaptive personalized learning system
Thanks to the rapid growth in wearable technologies and advancements in machine
learning, monitoring complex human contexts becomes feasible, paving the way to develop …
learning, monitoring complex human contexts becomes feasible, paving the way to develop …
adaparl: Adaptive privacy-aware reinforcement learning for sequential decision making human-in-the-loop systems
Reinforcement learning (RL) presents numerous benefits compared to rule-based
approaches in various applications. Privacy concerns have grown with the widespread use …
approaches in various applications. Privacy concerns have grown with the widespread use …
Spyware identification for android systems using fine trees
Android operating system (OS) has been recently featured as the most commonly used and
ingratiated OS for smartphone ecosystems. This is due to its high interoperability as an open …
ingratiated OS for smartphone ecosystems. This is due to its high interoperability as an open …
Holistic Survey on Security in IoT Application Layer: Attacks, Protocols, and Applications
Context: The growing number of linked devices, the limitations of some IoT devices, worries
about data privacy, risks to physical safety, and the ever-changing threats all highlight why …
about data privacy, risks to physical safety, and the ever-changing threats all highlight why …