Results 11 to 20 of about 489,214 (203)
Detection and Visualization of Android Malware Behavior [PDF]
Journal of Electrical and Computer Engineering, 2016 Malware analysts still need to manually inspect malware samples that are considered suspicious by heuristic rules. They dissect software pieces and look for malware evidence in the code.
Oscar Somarriba +4 more
doaj +9 more sources
A Survey of Visualization Systems for Malware Analysis.
, 2015 published
Markus Wagner 0008 +6 more
core +5 more sources
PAFE: A lightweight visualization-based fast malware classification method
HeliyonWith the development of automated malware toolkits, cybersecurity faces evolving threats. Although visualization-based malware analysis has proven to be an effective method, existing approaches struggle with challenging malware samples due to alterations
Sicong Li +3 more
doaj +2 more sources
Memory Visualization-Based Malware Detection Technique
Sensors, 2022 Advanced Persistent Threat is an attack campaign in which an intruder or team of intruders establishes a long-term presence on a network to mine sensitive data, which becomes more dangerous when combined with polymorphic malware.
Syed Shakir Hameed Shah +2 more
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MalGrid: Visualization of Binary Features in Large Malware Corpora [PDF]
MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM), 2022 The number of malware is constantly on the rise. Though most new malware are modifications of existing ones, their sheer number is quite overwhelming. In this paper, we present a novel system to visualize and map millions of malware to points in a 2-dimensional (2D) spatial grid. This enables visualizing relationships within large malware datasets that
Tajuddin Manhar Mohammed +4 more
openaire +3 more sources
Visualization techniques for malware behavior analysis [PDF]
SPIE Proceedings, 2011 Malware spread via Internet is a great security threat, so studying their behavior is important to identify and classify them. Using SSDT hooking we can obtain malware behavior by running it in a controlled environment and capturing interactions with the target operating system regarding file, process, registry, network and mutex activities.
André R. A. Grégio +1 more
openaire +3 more sources
Visualization Approach for Malware Classification with ResNeXt
2020 IEEE Congress on Evolutionary Computation (CEC), 2020 The Internet has resulted in cyber-threats and cyber-crimes, which can occur anywhere at any time. Among various cyber threats, modern malware with applied metamorphosis and polymorphic technology is a concern as it can proliferate to advanced variants from its original shape.
Jin Ho Go +5 more
openaire +2 more sources
Malware Analysis Using Visualized Image Matrices [PDF]
The Scientific World Journal, 2014 This paper proposes a novel malware visual analysis method that contains not only a visualization method to convert binary files into images, but also a similarity calculation method between these images.
KyoungSoo Han, BooJoong Kang, Eul Gyu Im
doaj +3 more sources
Application of Entropy Visualization Method in Malware Classification [PDF]
Jisuanji gongcheng, 2017 Soaring malwares threat the security of information systems.For increasing identification efficiency and improving response speed,this paper presents a new malware visualization method for classification based on Shannon entropy,Jaccard index and K ...
REN Zhuojun,CHEN Guang
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Malware detection based on semi-supervised learning with malware visualization
Mathematical Biosciences and Engineering, 2021 The traditional signature-based detection method requires detailed manual analysis to extract the signatures of malicious samples, and requires a large number of manual markers to maintain the signature library, which brings a great time and resource costs, and makes it difficult to adapt to the rapid generation and mutation of malware.
Tan Gao, Lan Zhao, Xudong Li, Wen Chen
openaire +3 more sources