Results 51 to 60 of about 1,811,594 (209)
Modelling Critical Impeding Factors of Gamification Adoption: An ISM‐MICMAC Analysis
Global Business and Organizational Excellence, EarlyView.ABSTRACT Gamification is a transformative technology that attracts consumers and motivates them toward desired actions through fun and engagement. Despite its growing popularity and influence on user behavior, gamification faces significant challenges in acceptance and implementation due to behavioral, technological, economic, and regulatory factors ...
Wamika Sharma +4 more
wiley +1 more source
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
A Novel Solutions for Malicious Code Detection and Family Clustering Based on Machine Learning
IEEE Access, 2019 Malware has become a major threat to cyberspace security, not only because of the increasing complexity of malware itself, but also because of the continuously created and produced malicious code.
Hangfeng Yang +4 more
doaj +1 more source
Efficient Deep Learning Network With Multi-Streams for Android Malware Family Classification
IEEE Access, 2022 It is important to effectively detect, mitigate, and defend against Android malware attacks, because Android malware has long represented a major threat to Android app security.
Hyun-Il Kim +3 more
doaj +1 more source
Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions
Software: Practice and Experience, EarlyView.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
Malware Classification with GMM-HMM Models
Proceedings of the 7th International Conference on Information Systems Security and Privacy, 2021 Discrete hidden Markov models (HMM) are often applied to malware detection and classification problems. However, the continuous analog of discrete HMMs, that is, Gaussian mixture model-HMMs (GMM-HMM), are rarely considered in the field of cybersecurity.
Zhao, Jing +2 more
openaire +3 more sources
Fighting fire with fire – a Pre-emptive approach to restore control over IT assets from malware infection [PDF]
, 2012 Malware is a major threat as they induce multiple risks to infected organizations. Current Anti-Malware solutions meant to keep Malware away are challenged on how to keep the risks at bay effectively. When a Malware manages to penetrate an organization’s
Pan, J.Y.
core
A Classification System for Visualized Malware Based on Multiple Autoencoder Models
IEEE Access, 2021 In this paper, we propose a classification system that uses multiple autoencoder models for identifying malware images. It is crucial to accurately classify malware before we can deploy appropriate countermeasures to prevent them from spreading.
Jongkwan Lee, Jongdeog Lee
doaj +1 more source
Assessment of a Model‐Based Approach to Achieve Authorization to Operate
Systems Engineering, EarlyView.ABSTRACT Accreditation of United States Government (USG) Information Systems (IS) is required to assure their function and security before delivery to the operational environment. However, in many cases, the baseline document‐based accreditation processes are sources of cost and schedule overruns.
Edan C. Sanchez +2 more
wiley +1 more source
DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection
IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.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