Search Results - "Anti-malware (Computer software)"

Moonlock: We put MacPaw’s new antivirus suite to work.

Authors: BARYLICK, CHRIS (AUTHOR)

Source: Macworld - Digital Edition. Mar2026, Vol. 43 Issue 3, p92-96. 5p. 6 Color Photographs.

MACOS GATEKEEPER: HOW WELL DOES APPLE'S FREE ANTIVIRUS DEFEND A MAC FROM MALWARE?

Authors: BARLICK, CHRIS

Source: Macworld - Digital Edition; Nov2025, Vol. 42 Issue 11, p18-21, 4p, 4 Color Photographs

5 incredibly common Windows PC mistakes (and how to avoid them).

Authors: ZELLFELDER, STEFFEN

Source: PCWorld; Sep2025, Vol. 43 Issue 9, p101-104, 4p, 3 Color Photographs

Construction of Countably Infinite Programs That Evade Malware/Non-Malware Classification for Any Given Formal System †.

Authors: Liagkou, Vasiliki Nastou, Panagiotis E. Spirakis, Paul et al.

Source: Cryptography (2410-387X). Mar2025, Vol. 9 Issue 1, p16. 26p.

恶意代码动态分析对抗与反对抗技术综述. (Chinese)

Authors: 王, 晨阳 彭, 国军 杨, 秀璋 et al.

Source: Chinese Journal of Network & Information Security; Dec2025, Vol. 11 Issue 6, p1-16, 16p

Android ransomware detection using binary Jaya optimization algorithm.

Authors: Alazab, Moutaz¹, m.alazab@bau.edu.jo

Source: Expert Systems; Jan2024, Vol. 41 Issue 1, p1-15, 15p

Malicious Office Macro Detection: Combined Features with Obfuscation and Suspicious Keywords.

Authors: Chen, Xiang Wang, Wenbo Han, Weitao

Source: Applied Sciences (2076-3417); Nov2023, Vol. 13 Issue 22, p12101, 15p

Securing Android with Hybrid Transformer-Golden Jackal Chimp Optimization.

Authors: Vanjire, Seema Sachin Lakshmi, M.

Source: IETE Journal of Research; Oct2025, Vol. 71 Issue 10, p3298-3311, 14p

Defense against adversarial malware using robust classifier: DAM-ROC.

Authors: Selvaganapathy, Shymala Gowri Sadasivam, Sudha

Source: Sādhanā: Academy Proceedings in Engineering Sciences. Dec2022, Vol. 47 Issue 4, p1-49. 49p.

Subjects: Anti-malware (Computer software), Bayesian analysis, Occupational retraining

Lightweight Model for Botnet Attack Detection in Software Defined Network-Orchestrated IoT.

Authors: Negera, Worku Gachena Schwenker, Friedhelm Debelee, Taye Girma et al.

Source: Applied Sciences (2076-3417); Apr2023, Vol. 13 Issue 8, p4699, 18p

IoT-oriented high-efficient anti-malware hardware focusing on time series metadata extractable from inside a processor core.

Authors: Koike, Kazuki Kobayashi, Ryotaro Katoh, Masahiko

Source: International Journal of Information Security. Aug2022, Vol. 21 Issue 4, p1-19. 19p.

Subjects: Anti-malware (Computer software), Time series analysis, Metadata, Machine learning, Malware

HamDroid: permission-based harmful android anti-malware detection using neural networks.

Authors: Seraj, Saeed Khodambashi, Siavash Pavlidis, Michalis et al.

Source: Neural Computing & Applications. Sep2022, Vol. 34 Issue 18, p15165-15174. 10p.

Subjects: Anti-malware (Computer software), Computer software industry, Multilayer perceptrons

Problems Solved.

Source: Computer Act!ve. 2/25/2026, Issue 730, p64-69. 6p. 4 Color Photographs, 2 Black and White Photographs, 12 Diagrams.

Predicting Vulnerability to Malware Using Machine Learning Models: A Study on Microsoft Windows Machines.

Authors: Esnaashari, Marzieh Moradi, Nima

Source: Journal of Applied Research on Industrial Engineering; Summer2025, Vol. 12 Issue 3, p541-558, 18p

An optimal detection of android malware using dynamic attention-based LSTM classifier.

Authors: Bose, S. Jebin Kalaiselvi, R.

Source: Journal of Intelligent & Fuzzy Systems; 2023, Vol. 44 Issue 1, p1425-1438, 14p

FloVasion: Towards Detection of non-sensitive Variable Based Evasive Information-Flow in Android Apps.

Authors: Buddhadev, Bharat Faruki, Parvez Gaur, Manoj Singh et al.

Source: IETE Journal of Research; Jul/Aug2022, Vol. 68 Issue 4, p2580-2594, 15p

Evaluation of Survivability of the Automatically Obfuscated Android Malware.

Authors: Patel, Himanshu Patel, Deep Ahluwalia, Jaspreet et al.

Source: Applied Sciences (2076-3417); May2022, Vol. 12 Issue 10, p4969, 18p

Detecting Cryptojacking Web Threats: An Approach with Autoencoders and Deep Dense Neural Networks.

Authors: Hernandez-Suarez, Aldo Sanchez-Perez, Gabriel Toscano-Medina, Linda K. et al.

Source: Applied Sciences (2076-3417); Apr2022, Vol. 12 Issue 7, p3234-3234, 28p

TERMINATOR: A Secure Coprocessor to Accelerate Real-Time AntiViruses Using Inspection Breakpoints.

Authors: BOTACIN, MARCUS MOREIRA, FRANCIS B. NAVAUX, PHILIPPE O. A. et al.

Source: ACM Transactions on Privacy & Security; Mar2022, Vol. 25 Issue 2, p1-34, 34p

Evaluation of Local Security Event Management System vs. Standard Antivirus Software.

Authors: Pérez-Sánchez, Antonio Palacios, Rafael

Source: Applied Sciences (2076-3417); Feb2022, Vol. 12 Issue 3, p1076, 18p