Results 41 to 50 of about 489,214 (203)
Boutique Malware – Custom made for e-business [PDF]
, 2010 Malware are typically known through extensive publicity in the media when incidents such as infection by Conficker on the computers around the globe. Such Malware infects all who are vulnerable to its bite.
Fung, C.C., Pan, J.Y.
core
Hybrid noise-resistant technique for malware classification
Scientific ReportsVisualization-based malware detection has recently gained significant attention for binary and multiclass malware classification using machine learning and deep learning techniques.
Syed Shahid Hameed Shah +4 more
doaj +1 more source
Survey on Visualization of Information Diffusion over Networks
Computer Graphics Forum, EarlyView.Abstract Information Diffusion (ID) describes how a value (e.g., a pathogen, a rumor, a packet) spreads through an underlying “medium” network of elements (e.g., a social or computer network). Understanding the information diffusion process is essential to predicting trends, controlling misinformation, and enhancing decision‐making as well as ...
T. Baumgartl +8 more
wiley +1 more source
Malware behavior image for malware variant identification
, 2014 Several methods have been devised by researchers to facilitate malware analysis and one of them is through malware visualization. Malware visualization is a field that focuses on representing malware features in a form of visual cues that could be used ...
Mohd. Shaid, Syed Zainudeen +3 more
core +1 more source
Analysis of feature categories for malware visualization [PDF]
, 2018 It is important to know which features are more effective for certain visualization types. Furthermore, selecting an appropriate visualization tool plays a key role in descriptive,diagnostic, predictive and prescriptive analytics.
Magalingam, Pritheega +5 more
core +1 more source
Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions
Software: Practice and Experience, Volume 56, Issue 12, Page 1538-1556, December 2026.ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai +5 more
wiley +1 more source
Devious chatbots - interactive malware with a plot [PDF]
, 2009 Many social robots in the forms of conversation agents or Chatbots have been put to practical use in recent years. Their typical roles are online help or acting as a cyber agent representing an organisation.
Wong, K.W., Fung, C.C., Pan, J.Y.
core
MalGraphIQ: A tool for generating behavior representations of malware execution traces
SoftwareXUnderstanding and interpreting malware behavior remains an open challenge in the field of cybersecurity. The dynamic analysis of malware execution traces has emerged as a promising approach for discovering behavioral insights that allow the visual ...
Razvan Raducu +2 more
doaj +1 more source
DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection
IEEJ Transactions on Electrical and Electronic Engineering, Volume 21, Issue 12, Page 1922-1934, December 2026.Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley +1 more source
Pattern for malware remediation – A last line of defence tool against Malware in the global communication platform [PDF]
, 2012 Malware is becoming a major problem to every organization that operates on the global communication platform. The malicious software programs are advancing in sophistication in many ways in order to defeat harden deployed defenses. When an organization’s
Fung, Chun Che +3 more
core