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Undecidable problems in malware analysis
2017 12th International Conference for Internet Technology and Secured Transactions (ICITST), 2017 Malware analysis is a challenging task in the theory as well as the practice of computer science. Many important problems in malware analysis have been shown to be undecidable. These problems include virus detection, detecting unpacking execution, matching malware samples against a set of given templates, and detecting trigger-based behavior.
Ali Aydin Selçuk +2 more
openaire +3 more sources
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
, 2022 PublishedGli strumenti tecnologici sono parte integrante della vita quotidiana e proprio per tale ragione è bene che vengano utilizzati in modo sicuro e consapevole. Lo scopo di questa introduzione all’educazione civica digitale è rendere consapevoli gli
RedOpen Factory
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
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
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
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
International Journal of Advanced Research in Computer Science and Software Engineering, 2018 Malware, also known as malicious software affects the user’s computer system or mobile devices by exploiting the system’s vulnerabilities. It is a major threat to the security of the computer systems. Some of the types of malwares that are most commonly used are viruses, trojans, worms, etc.
Ujaliben Kalpesh Bavishi +1 more
openaire +2 more sources
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