Results 31 to 40 of about 11,129 (226)
, 2023 This slide deck lays out the differences between static and dynamic malware analysis methods. Relevant and valuable tools such as IDA Pro, PE Explorer, OllyDBG, WinDBG, and Procmon are covered in depth. For each tool there is an overview, a detailed description of the key features, and then a brief overview of other relevant features.
Nikita Patil +2 more
openaire +2 more sources
Technique for IoT malware detection based on control flow graph analysis
Радіоелектронні і комп'ютерні системи, 2022 The Internet of Things (IoT) refers to the millions of devices around the world that are connected to the Internet. Insecure IoT devices designed without proper security features are the targets of many Internet threats.
Kira Bobrovnikova +4 more
doaj +1 more source
A survey on malware propagation, analysis, and detection [PDF]
, 2013 Lately, a new kind of war takes place between the security community and malicious software developers, the security specialists use all possible techniques, methods and strategies to stop and remove the threats while the malware developers utilize new ...
Mahmod, Ramlan +5 more
core +1 more source
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
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 +2 more sources
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
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
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
[Dataset] Detection of DGA-based Malware Communications from DoH Traffic Using Machine Learning Analysis [PDF]
, 2022 DoH-DGA-Malware-Traffic-HKD (csv_files.zip, l3-malware.csv, pcap_files.zip, and README.txt): If you use the dataset, please be sure to cite the following paper.Rikima Mitsuhashi, Yong Jin, Katsuyoshi Iida, Takahiro Shinagawa, and Yoshiaki Takai ...
Jin, Yong +4 more
core +1 more source