Results 31 to 40 of about 11,113 (232)
Partial Evaluation for Java Malware Detection [PDF]
, 2015 The fact that Java is platform independent gives hackers the opportunity to write exploits that can target users on any platform, which has a JVM implementation. Metasploit is a well-known source of Java exploits and to circumvent detection by Anti Virus
Andy King +3 more
core +1 more source
API Malware Analysis : Exploring Detection And Forensics Strategies For Secure Software Development
Journal of Intelligent Systems and Applied Data Science, 2023 API Malware Analysis and Forensics is a key field of research in cybersecurity. It is critical to have strong defenses in place to detect and prevent malware attacks. APIs, since they can have disastrous consequences.
Husam Alalloush, Wasim Ali
doaj
Reanimating Historic Malware Samples
, 2020 Many types of malicious software are controlled from an attacker’s command and control (C2) servers. Anti-virus organizations seek to defeat malware attacks by requesting removal of C2 server Domain Name Server (DNS) records.
Iqbal Gondal +7 more
core +1 more source
Malware Analysis on AI Technique
CoRR, 2023 In today's world, we are performing our maximum work through the Internet, i.e., online payment, data transfer, etc., per day. More than thousands of users are connecting. So, it's essential to provide security to the user. It is necessary to detect and prevent malicious object from gaining persistence and causing destruction within the organization ...
Amjani Gupta, Karan Singh
openaire +2 more sources
An Automated Framework for Runtime Analysis of Malicious Executables on Linux
Telfor Journal, 2021 One way of testing a malware detection tool is to expose it to a large number of diverse malware samples and verify its detection accuracy. During these tests, the host system must not be harmed by malware and yet be able to analyze its harmful behavior.
I. Vurdelja +3 more
doaj +1 more source
DroidPortrait: Android Malware Portrait Construction Based on Multidimensional Behavior Analysis
Applied Sciences, 2020 Recently, security incidents such as sensitive data leakage and video/audio hardware control caused by Android malware have raised severe security issues that threaten Android users, so thus behavior analysis and detection research researches of ...
Xin Su +5 more
doaj +1 more source
IoT Malware Detection Based on OPCODE Purification
, 2023 Malware threat for Internet of Things (IoT) devices is increasing day by day. The constrained nature of IoT devices makes it impossible to apply high-resource-demand ing anti-malware tools for these devices.
Kılınç, Hacı Hakan +9 more
core +1 more source
Packed malware variants detection using deep belief networks [PDF]
MATEC Web of Conferences, 2020 Malware is one of the most serious network security threats. To detect unknown variants of malware, many researches have proposed various methods of malware detection based on machine learning in recent years.
Zhang Zhigang +3 more
doaj +1 more source
Homology analysis of malware based on graph
Tongxin xuebao, 2017 Malware detection and homology analysis has been the hotspot of malware analysis.API call graph of malware can represent the behavior of it.Because of the subgraph isomorphism algorithm has high complexity,the analysis of malware based on the graph ...
Bing-lin ZHAO +4 more
doaj +2 more sources
Advanced Intelligent Systems, EarlyView.OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti +4 more
wiley +1 more source