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Security and privacy in IoT using machine learning and blockchain: Threats and countermeasures
Security and privacy of users have become significant concerns due to the involvement of
the Internet of Things (IoT) devices in numerous applications. Cyber threats are growing at …
the Internet of Things (IoT) devices in numerous applications. Cyber threats are growing at …
Machine and deep learning for iot security and privacy: applications, challenges, and future directions
The integration of the Internet of Things (IoT) connects a number of intelligent devices with
minimum human interference that can interact with one another. IoT is rapidly emerging in …
minimum human interference that can interact with one another. IoT is rapidly emerging in …
Malware detection in mobile environments based on Autoencoders and API-images
Due to their open nature and popularity, Android-based devices represent one of the main
targets for malware attacks that may adversely affect the privacy of their users. Considering …
targets for malware attacks that may adversely affect the privacy of their users. Considering …
Malicious application detection in android—a systematic literature review
Context: In last decade, due to tremendous usage of smart phones it seems that these
gadgets became an essential necessity of day-to-day life. People are using new …
gadgets became an essential necessity of day-to-day life. People are using new …
[HTML][HTML] Obfuscapk: An open-source black-box obfuscation tool for Android apps
Obfuscapk is an open-source automatic obfuscation tool for Android apps that works in a
black-box fashion (ie, it does not need the app source code). Obfuscapk supports advanced …
black-box fashion (ie, it does not need the app source code). Obfuscapk supports advanced …
Effective classification of android malware families through dynamic features and neural networks
Due to their open nature and popularity, Android-based devices have attracted several end-
users around the World and are one of the main targets for attackers. Because of the …
users around the World and are one of the main targets for attackers. Because of the …
Feature subset selection for malware detection in smart IoT platforms
Malicious software (“malware”) has become one of the serious cybersecurity issues in
Android ecosystem. Given the fast evolution of Android malware releases, it is practically not …
Android ecosystem. Given the fast evolution of Android malware releases, it is practically not …
RealMalSol: real-time optimized model for Android malware detection using efficient neural networks and model quantization
M Chaudhary, A Masood - Neural Computing and Applications, 2023 - Springer
Android is currently the most dominant platform in the market in comparison with all other
operating systems (OS) such as iOS, Windows, and Blackberry. As the scope of Android …
operating systems (OS) such as iOS, Windows, and Blackberry. As the scope of Android …
A federated approach to Android malware classification through Perm-Maps
In the last decades, mobile-based apps have been increasingly used in several application
fields for many purposes involving a high number of human activities. Unfortunately, in …
fields for many purposes involving a high number of human activities. Unfortunately, in …
A comprehensive review on permissions-based Android malware detection
The first Android-ready “G1” phone debuted in late October 2008. Since then, the growth of
Android malware has been explosive, analogous to the rise in the popularity of Android. The …
Android malware has been explosive, analogous to the rise in the popularity of Android. The …