A survey of android malware detection with deep neural models
Deep Learning (DL) is a disruptive technology that has changed the landscape of cyber
security research. Deep learning models have many advantages over traditional Machine …
security research. Deep learning models have many advantages over traditional Machine …
Machine learning based solutions for security of Internet of Things (IoT): A survey
Over the last decade, IoT platforms have been developed into a global giant that grabs every
aspect of our daily lives by advancing human life with its unaccountable smart services …
aspect of our daily lives by advancing human life with its unaccountable smart services …
A review of android malware detection approaches based on machine learning
K Liu, S Xu, G Xu, M Zhang, D Sun, H Liu - IEEE access, 2020 - ieeexplore.ieee.org
Android applications are developing rapidly across the mobile ecosystem, but Android
malware is also emerging in an endless stream. Many researchers have studied the …
malware is also emerging in an endless stream. Many researchers have studied the …
A survey of machine and deep learning methods for internet of things (IoT) security
The Internet of Things (IoT) integrates billions of smart devices that can communicate with
one another with minimal human intervention. IoT is one of the fastest developing fields in …
one another with minimal human intervention. IoT is one of the fastest developing fields in …
[HTML][HTML] A review of intrusion detection systems using machine and deep learning in internet of things: Challenges, solutions and future directions
The Internet of Things (IoT) is poised to impact several aspects of our lives with its fast
proliferation in many areas such as wearable devices, smart sensors and home appliances …
proliferation in many areas such as wearable devices, smart sensors and home appliances …
Intelligent mobile malware detection using permission requests and API calls
Malware is a serious threat that has been used to target mobile devices since its inception.
Two types of mobile malware attacks are standalone: fraudulent mobile apps and injected …
Two types of mobile malware attacks are standalone: fraudulent mobile apps and injected …
Research on artificial intelligence enhancing internet of things security: A survey
H Wu, H Han, X Wang, S Sun - Ieee Access, 2020 - ieeexplore.ieee.org
Through three development routes of authentication, communication, and computing, the
Internet of Things (IoT) has become a variety of innovative integrated solutions for specific …
Internet of Things (IoT) has become a variety of innovative integrated solutions for specific …
A systematic literature review of android malware detection using static analysis
Android malware has been in an increasing trend in recent years due to the pervasiveness
of Android operating system. Android malware is installed and run on the smartphones …
of Android operating system. Android malware is installed and run on the smartphones …
[HTML][HTML] Deep feature extraction and classification of android malware images
The Android operating system has gained popularity and evolved rapidly since the previous
decade. Traditional approaches such as static and dynamic malware identification …
decade. Traditional approaches such as static and dynamic malware identification …
A TAN based hybrid model for android malware detection
R Surendran, T Thomas, S Emmanuel - Journal of Information Security and …, 2020 - Elsevier
Android devices are very popular because of their availability at reasonable prices.
However, there is a rapid rise of malware applications in Android platform in the recent past …
However, there is a rapid rise of malware applications in Android platform in the recent past …