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Malware Analysis

open access: yesInternational 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

IoT Malware Detection Based on OPCODE Purification [PDF]

open access: yes, 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   +11 more
core   +1 more source

An Automated Framework for Runtime Analysis of Malicious Executables on Linux

open access: yesTelfor 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

Machine Learning Algorithm for Malware Detection: Taxonomy, Current Challenges, and Future Directions

open access: yesIEEE Access, 2023
Malware has emerged as a cyber security threat that continuously changes to target computer systems, smart devices, and extensive networks with the development of information technologies.
Nor Zakiah Gorment   +3 more
doaj   +1 more source

Undecidable problems in malware analysis

open access: yes2017 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

open access: yesJournal 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  

Technique for IoT malware detection based on control flow graph analysis

open access: yesРадіоелектронні 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

Packed malware variants detection using deep belief networks [PDF]

open access: yesMATEC 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

Practical Malware Analysis [PDF]

open access: yes, 2023
Objective. Currently, the main method of attack on organizations is malware. The problem of strengthening protection against this type of attack remains relevant and requires new approaches.
D. A. Elizarov, A. V. Katkov
core   +1 more source

Reanimating Historic Malware Samples

open access: yes, 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

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