[PDF][PDF] Evolution of malware threats and techniques: A review

MN Alenezi, H Alabdulrazzaq… - International journal …, 2020 - researchgate.net
The rapid development of technology, and its usage, in our everyday lives caused us to
depend on many of the aspects it offers. The evolution of the Internet in recent decades has …

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 …

Gauss-mapping black widow optimization with deep extreme learning machine for android malware classification model

G Aldehim, MA Arasi, M Khalid, SS Aljameel… - IEEE …, 2023 - ieeexplore.ieee.org
Nowadays, the malware on the Android platform is found to be increasing. With the
prevalent use of code obfuscation technology, the precision of antivirus software and …

Static Malware Analysis Using Low-Parameter Machine Learning Models

R Baker del Aguila, CD Contreras Pérez… - Computers, 2024 - mdpi.com
Recent advancements in cybersecurity threats and malware have brought into question the
safety of modern software and computer systems. As a direct result of this, artificial …

A novel malware classification method based on crucial behavior

F Xiao, Y Sun, D Du, X Li, M Luo - Mathematical Problems in …, 2020 - Wiley Online Library
Recently, some graph‐based methods have been proposed for malware detection.
However, current malware is generally characterized by sophisticated behaviors, which …

Elucidation on the performance of various machine learning models for real-time malware detection, malware classification and network packet screening

AR Elkilany, YB Chu - Machine Learning for Computational Science and …, 2025 - Springer
In view of the evolving domain of cyber threats, traditional signature based detection tools
encounter difficulties in detecting malware. The conventional approach utilizing pattern …

[HTML][HTML] Bioinspired artificial intelligence based android malware detection and classification for cybersecurity applications

SD Alotaibi, B Alabduallah, Y Said… - Alexandria Engineering …, 2024 - Elsevier
With the fast growth of mobile phone usage, malicious threats against Android mobile
devices are enhanced. The Android system utilizes a wide range of sensitive apps like …

AI-powered Ransomware to Optimize its Impact on IoT Spectrum Sensors

J Lüchinger - 2023 - zora.uzh.ch
This work aims to investigate the feasibility of exploiting reinforcement learning (RL) to
improve the impact of ransomware on a target device while evading dynamic detection …

[PDF][PDF] Optimal Bottleneck-Driven Deep Belief Network Enabled Malware Classification on IoT-Cloud Environment.

M Maray, H Alqahtani, SS Alotaibi… - … , Materials & Continua, 2023 - academia.edu
Cloud Computing (CC) is the most promising and advanced technology to store data and
offer online services in an effective manner. When such fast evolving technologies are used …

Analysis of mobile malware, evolution and infection strategies: A systematic review

M Ashawa, S Morris - 2021 - dspace.lib.cranfield.ac.uk
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 …