Results 21 to 30 of about 29,821 (199)
Obfuscation-based malware update: A comparison of manual and automated methods [PDF]
, 2017 Indexación: Scopus; Web of Science.This research presents a proposal of malware classification and its update based on capacity and obfuscation. This article is an extension of [4]a, and describes the procedure for malware updating, that is, to take ...
Barría, C. +4 more
core +2 more sources
Mathematics, 2020 The importance of cybersecurity has recently been increasing. A malware coder writes malware into normal executable files. A computer is more likely to be infected by malware when users have easy access to various executables.
Sejun Jang, Shuyu Li, Yunsick Sung
doaj +1 more source
Applied Sciences, 2020 Malware detection and classification methods are being actively developed to protect personal information from hackers. Global images of malware (in a program that includes personal information) can be utilized to detect or classify it.
Sejun Jang, Shuyu Li, Yunsick Sung
doaj +1 more source
Malware Classification based on Call Graph Clustering [PDF]
, 2010 Each day, anti-virus companies receive tens of thousands samples of potentially harmful executables. Many of the malicious samples are variations of previously encountered malware, created by their authors to evade pattern-based detection.
Kinable, Joris, Kostakis, Orestis
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Multiple instance learning for malware classification [PDF]
Expert Systems with Applications, 2018 This work addresses classification of unknown binaries executed in sandbox by modeling their interaction with system resources (files, mutexes, registry keys and communication with servers over the network) and error messages provided by the operating system, using vocabulary-based method from the multiple instance learning paradigm.
Stiborek, Jan +2 more
openaire +2 more sources
International Journal of Engineering & Technology, 2018 Android malware is growing in such an exponential pace which lead to the need of an efficient malware intrusion detection technique. The single approach of clustering or classification technique in malware intrusion detection yield to high negative positive alarm rate..
Zolidah Kasiran +2 more
openaire +1 more source
Self-Attentive Models for Real-Time Malware Classification
IEEE Access, 2022 Malware classification is a critical task in cybersecurity, as it offers insights into the threats that malware poses to the victim device and helps in the design of countermeasures.
Qikai Lu +3 more
doaj +1 more source
Discriminant malware distance learning on structuralinformation for automated malware classification [PDF]
ACM SIGMETRICS Performance Evaluation Review, 2013 In this work, we explore techniques that can automatically classify malware variants into their corresponding families. Our framework extracts structural information from malware programs as attributed function call graphs, further learns discriminant malware distance metrics, finally adopts an ensemble of classifiers for automated malware ...
Deguang Kong, Guanhua Yan
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Function length as a tool for malware classification [PDF]
, 2008 The proliferation of malware is a serious threat to computer and information systems throughout the world. Antimalware companies are continually challenged to identify and counter new malware as it is released into the wild.
Batten, L. M., Tian, R., Versteeg, S. C.
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Mal-Netminer: Malware Classification Approach based on Social Network Analysis of System Call Graph [PDF]
, 2015 As the security landscape evolves over time, where thousands of species of malicious codes are seen every day, antivirus vendors strive to detect and classify malware families for efficient and effective responses against malware campaigns.
Jang, Jae-wook +4 more
core +3 more sources