Security for 5G and beyond
The development of the fifth generation (5G) wireless networks is gaining momentum to
connect almost all aspects of life through the network with much higher speed, very low …
connect almost all aspects of life through the network with much higher speed, very low …
Ransomware threat success factors, taxonomy, and countermeasures: A survey and research directions
Ransomware is a malware category that exploits security mechanisms such as cryptography
in order to hijack user files and related resources and demands money in exchange for the …
in order to hijack user files and related resources and demands money in exchange for the …
MLDroid—framework for Android malware detection using machine learning techniques
A Mahindru, AL Sangal - Neural Computing and Applications, 2021 - Springer
This research paper presents MLDroid—a web-based framework—which helps to detect
malware from Android devices. Due to increase in the popularity of Android devices …
malware from Android devices. Due to increase in the popularity of Android devices …
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 …
Detecting crypto-ransomware in IoT networks based on energy consumption footprint
Abstract An Internet of Things (IoT) architecture generally consists of a wide range of Internet-
connected devices or things such as Android devices, and devices that have more …
connected devices or things such as Android devices, and devices that have more …
Tight arms race: Overview of current malware threats and trends in their detection
Cyber attacks are currently blooming, as the attackers reap significant profits from them and
face a limited risk when compared to committing the “classical” crimes. One of the major …
face a limited risk when compared to committing the “classical” crimes. One of the major …
Machine learning meets communication networks: Current trends and future challenges
The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …
massively expanding number of connected devices and online services, require intelligent …
[Retracted] Artificial Intelligence for Education and Teaching
Y Xue, Y Wang - Wireless Communications and Mobile …, 2022 - Wiley Online Library
Artificial intelligence has entered an unprecedented period of rapid growth and is completely
changing all aspects of life. The state needed a comprehensive curriculum, but how to get …
changing all aspects of life. The state needed a comprehensive curriculum, but how to get …
Trends and challenges in network covert channels countermeasures
L Caviglione - Applied Sciences, 2021 - mdpi.com
Network covert channels are increasingly used to endow malware with stealthy behaviors,
for instance to exfiltrate data or to orchestrate nodes of a botnet in a cloaked manner …
for instance to exfiltrate data or to orchestrate nodes of a botnet in a cloaked manner …
A survey on dynamic mobile malware detection
P Yan, Z Yan - Software Quality Journal, 2018 - Springer
The outstanding advances of mobile devices stimulate their wide usage. Since mobile
devices are coupled with third-party applications, lots of security and privacy problems are …
devices are coupled with third-party applications, lots of security and privacy problems are …