Results 81 to 90 of about 24,379 (232)
Tina-Rezaei/malware-detection: first realease of my paper implementation
, 2020 This is the first release of "a PE Header-based Method for Malware Detection Using Clustering and Deep Embedding ...
Tina-Rezaei
core +1 more source
Visualization and deep-learning-based malware variant detection using OpCode-level features
, 2021 Malicious software (malware) is a major threat to the systems and networks’ security. Although anti-malware products are used to protect systems and networks against malware attacks, obfuscated malware that is capable of evading analysis and detection by
Alhashmi, A. +4 more
core +1 more source
From Ambiguous Queries to Verifiable Insights: A Task‐Driven Framework for LLM‐Powered SOC Analysis⋆
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Security operations centre (SOC) analysts must investigate alerts, correlate threat intelligence and interpret heterogeneous telemetry under tight timing constraints. Although large language models (LLMs) offer strong understanding capabilities, directly applying them to SOC environments remains challenging due to semantic ambiguity in analyst
Huan Zhang +5 more
wiley +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
Boutique Malware – Custom made for e-business
, 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
Cyberattacks on Small Banks and the Impact on Local Banking Markets
Journal of Money, Credit and Banking, EarlyView.Abstract Cyberattacks on small banks have direct and spillover effects in local markets. Following successful cyberattacks, hacked small banks experience a decline in deposit growth rates. This effect of cyberattacks is not observed in hacked large banks.
FABIAN GOGOLIN +2 more
wiley +1 more source
Design of an Automated Malware Analysis System
, 2010 Malware, malicious software written for the purpose of causing computer-related damage, has existed for many years. Only recently have the monetary advantages of perpetrating malware begun to gain interest from increasingly malicious groups.
Nabholz, Bradley J
core
Detecting Malware C&C Communication Traffic Using Artificial Intelligence Techniques
Journal of Cybersecurity and PrivacyBanking malware poses a significant threat to users by infecting their computers and then attempting to perform malicious activities such as surreptitiously stealing confidential information from them.
Mohamed Ali Kazi
doaj +1 more source
GA‐ANN: An Efficient Hybrid Deep Learning Scheme for Network Intrusion Detection in IoT
SECURITY AND PRIVACY, Volume 9, Issue 4, July/August 2026.ABSTRACT Intrusion detection systems (IDS) are critical to the security of the dynamic internet of things (IoT) environment. The integration of Artificial Intelligence (AI) into IDS has substantially improved network security. Particularly, deep learning techniques have shown strong potential in addressing IoT security challenges.
Naveed Ahmed +4 more
wiley +1 more source
, 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