Malicious application detection in android—a systematic literature review

T Sharma, D Rattan - Computer Science Review, 2021 - Elsevier
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 …

Analysis of mobile malware: a systematic review of evolution and infection strategies

M Ashawa, S Morris - 2021 - repository.nauss.edu.sa
The open-source and popularity of Android attracts hackers and has multiplied security
concerns targeting devices. As such, malware attacks on Android are one of the security …

A survey on network security-related data collection technologies

H Lin, Z Yan, Y Chen, L Zhang - IEEE Access, 2018 - ieeexplore.ieee.org
Security threats and economic loss caused by network attacks, intrusions, and vulnerabilities
have motivated intensive studies on network security. Normally, data collected in a network …

The Role of Deep Learning in Advancing Proactive Cybersecurity Measures for Smart Grid Networks: A Survey

N Abdi, A Albaseer, M Abdallah - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
As smart grids (SGs) increasingly rely on advanced technologies like sensors and
communication systems for efficient energy generation, distribution, and consumption, they …

Experimental analysis of Android malware detection based on combinations of permissions and API-calls

AK Singh, CD Jaidhar, MAA Kumara - Journal of Computer Virology and …, 2019 - Springer
Android-based smartphones are gaining popularity, due to its cost efficiency and various
applications. These smartphones provide the full experience of a computing device to its …

[HTML][HTML] Adaptive security-related data collection with context awareness

H Lin, Z Yan, Y Fu - Journal of Network and Computer Applications, 2019 - Elsevier
The huge economic loss resulting from network attacks and intrusions has led to an
intensive study on network security. The network security is usually reflected by some …

DroidLight: Lightweight anomaly-based intrusion detection system for smartphone devices

S Barbhuiya, P Kilpatrick, DS Nikolopoulos - Proceedings of the 21st …, 2020 - dl.acm.org
Smartphone malware attacks are increasing alongside the growth of smartphone
applications in the market. Researchers have proposed techniques to detect malware …

Resolving the cybersecurity data sharing paradox to scale up cybersecurity via a co-production approach towards data sharing

A Atapour-Abarghouei, AS McGough… - … Conference on Big …, 2020 - ieeexplore.ieee.org
As cybercriminals scale up their operations to increase their profits or inflict greater harm, we
argue that there is an equal need to respond to their threats by scaling up cyber-security. To …

Guarding android: A comprehensive review of intrusion detection techniques for smartphones

IM Ibrahim, AB Sallow - Science Journal of University of Zakho, 2023 - sjuoz.uoz.edu.krd
The popularity of using the Android operating system has increased the number of
developers and intruders in this field. Many applications are developed in this area and …

Mobile botnets detection based on machine learning over system calls

VGTD Costa, S Barbon, RS Miani… - … Journal of Security …, 2019 - inderscienceonline.com
Mobile botnets are a growing threat to the internet security field. These botnets target less
secure devices with lower computational power, while sometimes taking advantage of …