[HTML][HTML] An optimized and efficient android malware detection framework for future sustainable computing
Android-based smart devices cater to services in almost every aspect of our lives like
personal, professional, social, banking, business, etc. However, people with increasingly …
personal, professional, social, banking, business, etc. However, people with increasingly …
[HTML][HTML] Securing Android IoT devices with GuardDroid transparent and lightweight malware detection
Abstract The Internet of Things (IoT) has experienced significant growth in recent years and
has emerged as a very dynamic sector in the worldwide market. Being an open-source …
has emerged as a very dynamic sector in the worldwide market. Being an open-source …
A hybrid feature selection approach-based Android malware detection framework using machine learning techniques
With more popularity and advancement in Internet-based services, the use of the Android
smartphone has been increasing very rapidly. The tremendous popularity of using the …
smartphone has been increasing very rapidly. The tremendous popularity of using the …
[HTML][HTML] Android Malware Detection and Identification Frameworks by Leveraging the Machine and Deep Learning Techniques: A Comprehensive Review
The ever-increasing growth of online services and smart connectivity of devices have posed
the threat of malware to computer system, android-based smart phones, Internet of Things …
the threat of malware to computer system, android-based smart phones, Internet of Things …
Static, dynamic and intrinsic features based android malware detection using machine learning
BA Mantoo, SS Khurana - Proceedings of ICRIC 2019: Recent Innovations …, 2020 - Springer
Android is one of the smartest and advanced operating systems in the mobile phone market
in the current era. The number of smartphone users based on the Android platform is rising …
in the current era. The number of smartphone users based on the Android platform is rising …
End-to-end malware detection for android IoT devices using deep learning
Z Ren, H Wu, Q Ning, I Hussain, B Chen - Ad Hoc Networks, 2020 - Elsevier
Abstract The Internet of Things (IoT) has grown rapidly in recent years and has become one
of the most active areas in the global market. As an open source platform with a large …
of the most active areas in the global market. As an open source platform with a large …
A novel dynamic android malware detection system with ensemble learning
With the popularity of Android smartphones, malicious applications targeted Android
platform have explosively increased. Proposing effective Android malware detection method …
platform have explosively increased. Proposing effective Android malware detection method …
Detection of malicious android applications: Classical machine learning vs. deep neural network integrated with clustering
Today anti-malware community is facing challenges due to ever-increasing sophistication
and volume of malware attacks developed by adversaries. Traditional malware detection …
and volume of malware attacks developed by adversaries. Traditional malware detection …
High accuracy android malware detection using ensemble learning
With over 50 billion downloads and more than 1.3 million apps in Google's official market,
Android has continued to gain popularity among smartphone users worldwide. At the same …
Android has continued to gain popularity among smartphone users worldwide. At the same …
Android malware detection based on factorization machine
As the popularity of Android smart phones has increased in recent years, so too has the
number of malicious applications. Due to the potential for data theft that mobile phone users …
number of malicious applications. Due to the potential for data theft that mobile phone users …