Search Results - "Malware"

AI Agents Act a Lot Like Malware. Here's How to Contain the Risks.

Authors: Burt, Andrew¹

Source: Harvard Business Review Digital Articles. 3/30/2026, p1-6. 6p.

Robust AI‐SCORE Framework: Independent and Adversarial Validation for Malware Detection.

Authors: Zuberi, Hafiz Talha Arif Ali, Usman Ahmed, Usama et al.

Source: Journal of Engineering (2314-4912). 4/24/2026, Vol. 2026, p1-18. 18p.

Subjects: Malware, Adversarial machine learning, Deep learning, Software frameworks, Feature extraction, Statistical reliability, Internet security, Machine learning

NYC School District Hit by Malware Attack as Well as Canvas Hack.

Authors: Hudson, Erin (AUTHOR)

Source: Bloomberg.com. 5/8/2026, pN.PAG-N.PAG. 1p.

Unraveling Cybersecurity Myths in Chemical Manufacturing.

Authors: Ayala, Marco¹ marayala@absconsulting.com

Source: Chemical Engineering. Jun2026, Vol. 133 Issue 6, p15-20. 5p.

Subjects: Industrial safety, Malware, Internet security, Chemical products manufacturing, Industrial controls manufacturing, System safety, Cyberterrorism

HybFusion: A holistic Android malware detection framework with advanced feature fusion and ensemble learning.

Authors: Minh Manh, Vu Do Xuan, Cho Van, Nguyen Thi Khanh

Source: PLoS ONE. 6/21/2026, Vol. 21 Issue 6, p1-28. 28p.

Self-Organizing Neural Grove for Malware Detection in IoT Edge Devices †.

Authors: Inoue, Hirotaka Komura, Tsukasa Hashimoto, Ibuki

Source: Sensors (14248220). Jun2026, Vol. 26 Issue 11, p3399. 12p.

Retrieval-Augmented Few-Shot Malware Detection via Binary Visualization and Vision–Language Embeddings.

Authors: Jung, Woo Jin Kwak, Nae-Joung Lee, Byoung-Yup

Source: Applied Sciences (2076-3417); May2026, Vol. 16 Issue 9, p4100, 23p

A Classification Framework and Research Progress on Adaptation Methods for Concept Drift in Malicious Code Detection Models.

Authors: Wang, Qi Wang, Longjuan Zhao, Weiwei

Source: Future Internet. May2026, Vol. 18 Issue 5, p231. 27p.

Multiset Lempel–Ziv Jaccard Distance.

Authors: Aoki, Satoshi Koga, Hisashi

Source: Information. May2026, Vol. 17 Issue 5, p489. 17p.

A DELAYED MALWARE PROPAGATION MODEL FOR CLOUD COMPUTING SECURITY.

Authors: YU, XIAODONG ZHANG, ZIZHEN

Source: Fractals. 2026, Vol. 34 Issue 4, p1-19. 19p.

AI‐Powered Defense: Leveraging Deep Learning for Effective Malware Detection.

Authors: Awad, Nancy Awadallah Karras, Dimitrios A.

Source: Applied Computational Intelligence & Soft Computing; 4/27/2026, Vol. 2026, p1-17, 17p

Malware detection in IoT networks with CNNs and integrated feature engineering.

Authors: Abd-Ellah, Mahmoud Khaled Alsayed, Nayera A. Elkomy, Osama M. et al.

Source: Scientific Reports. 4/20/2026, Vol. 16 Issue 1, p1-26. 26p.

Wavelet-Based and MAML-Driven Framework for Enhanced Few-Shot Malware Classification.

Authors: Almuqrin, Abdullah Mutambik, Ibrahim Abusharhah, Majed

Source: Applied Sciences (2076-3417); Apr2026, Vol. 16 Issue 8, p3921, 28p

CYBER FRAUD DETECT – CLASSIFICATION AND ANALYSIS OF RANSOMWARE DETECTION TECHNIQUES.

Authors: PUTTI, PAVANI K. P. N. V., SATYA SREE

Source: Journal of Computational Analysis & Applications; 2026, Vol. 35 Issue 4, p275-284, 10p

基于信息融合图像和深度学习的恶意软件分类方法.

Alternate Title: Malware classification method based on image with information fusion and deep learning.

Authors: 赵永林 郭 春 吕晓丹 et al.

Source: Application Research of Computers / Jisuanji Yingyong Yanjiu. Apr2026, Vol. 43 Issue 4, p1214-1221. 8p.

Kötü amaçlı yazılımların transformer modellerle tespiti: Barkod tabanlı görüntüleme ve özellik füzyonu yaklaşımı.

Alternate Title: Detection of malicious software using transformer models: A barcode-based imaging and feature fusion approach.

Authors: İnan, Zeynep Naz Toğaçar, Mesut

Source: Nigde Omer Halisdemir University Journal of Engineering Sciences / Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi. 2026, Vol. 16, p1-12. 12p.

A Malicious Code Propagation Model Based on Dual Protection Mechanisms in Heterogeneous IoT Networks.

Authors: Wen Han Jianguo Ren Yonghong Xu

Source: IAENG International Journal of Applied Mathematics. Jan2026, Vol. 56 Issue 1, p445-455. 11p.

Subjects: Malware, Internet of things, Computer network reliability, Statistical models, Malware prevention

Android Malware Detection Using an AI-Powered Hybrid XGBoost-RF Model for Enhanced Cybersecurity.

Authors: J, Antony Veera Puthira Raja V, Rajendran P, Vijayalakshmi

Source: EPJ Web of Conferences. 3/2/2026, Vol. 354, p1-12. 12p.

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.

DYNAMIC ANALYSIS OF MALWARE ATTACKS AND THEIR DEFENCE IN COMPUTER NETWORKS.

Authors: Rao, Yerra Shankar Sahu, Dhirendra Kumar Dihudi, Binayak et al.

Source: Palestine Journal of Mathematics. 2026, Vol. 15 Issue 1, p970-983. 14p.