Results 171 to 180 of about 5,547 (215)

A multi-label visualisation approach for malware behaviour analysis. [PDF]

Sci Rep
Uysal DT, Yoo PD, Taha K, Yeun CY, Damiani E.   +4 more
europepmc   +1 more source

AI-Driven Cybersecurity in IoT: Adaptive Malware Detection and Lightweight Encryption via TRIM-SEC Framework. [PDF]

Sensors (Basel)
Mutambik I.
europepmc   +1 more source

A multi-task information extraction Chinese dataset for APT cyber threat intelligence. [PDF]

Sci Data
Sun L, Xiang G, Tan Z, Guo Z, Qi R, Cao J.   +5 more
europepmc   +1 more source

Classification of Malware Network Activity

, 2012
In the previous work, we have designed and implemented a platform with tools for capturing malware, running botnets in a controlled environment, analyzing their interactions with a botmaster, testing methods and techniques for mitigating botnet nuisance, and eventually disrupting them.
Gilles Berger-Sabbatel, Andrzej Duda
openaire   +2 more sources

Transfer learning for malware multi-classification

Proceedings of the 23rd International Database Applications & Engineering Symposium on - IDEAS '19, 2019
In this paper, we build on top of the MalConv neural networks learning architecture which was initially designed for malware/benign classification. We evaluate the transfer learning of MalConv for malware multi-class classification by extending its contribution in several directions: (1) We assess MalConv performance on a multi-classification problem ...
Mohamad Al Kadri, Mohamed Nassar 0001, Haïdar Safa   +2 more
openaire   +2 more sources

Adaptive Semantics-Aware Malware Classification

, 2016
Automatic malware classification is an essential improvement over the widely-deployed detection procedures using manual signatures or heuristics. Although there exists an abundance of methods for collecting static and behavioral malware data, there is a lack of adequate tools for analysis based on these collected features.
Bojan Kolosnjaji, Apostolis Zarras, Tamas K. Lengyel, George D. Webster, Claudia Eckert 0001   +4 more
openaire   +2 more sources

Metamorphic Malware Classification

, 2014
Metamorphic malware tend to change its code structure, every time it infects a new host machine. This makes classification and subsequent detection of the malware very difficult. Unlike other viruses, metamorphic malware uses code obfuscation techniques on the body of the malware and that way the malware structure does not exhibit a common signature ...
Ramakrishnan, Rukmini
openaire   +2 more sources

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Clustering for malware classification

Journal of Computer Virology and Hacking Techniques, 2016
In this research, we apply clustering techniques to the malware classification problem. We compute clusters using the well-known K-means and Expectation Maximization algorithms, with the underlying scores based on Hidden Markov Models. We compare the results obtained from these two clustering approaches and we carefully consider the interplay between ...
Swathi Pai, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp 0001   +4 more
openaire   +2 more sources

EntropyVis: Malware classification

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2017
Malware writers often develop malware with automated measures, so the number of malware has increased dramatically. Automated measures tend to repeatedly use significant modules, which form the basis for identifying malware variants and discriminating malware families.
Zhuojun Ren, Guang Chen
openaire   +1 more source

Integrated Framework for Classification of Malwares

Proceedings of the 7th International Conference on Security of Information and Networks, 2014
Malware is one of the most terrible and major security threats facing the Internet today. It is evolving, becoming more sophisticated and using new ways to target computers and mobile devices. The traditional defences like antivirus softwares typically rely on signature based methods and are unable to detect previously unseen malwares. Machine learning
Ekta Gandotra, Divya Bansal, Sanjeev Sofat   +2 more
openaire   +1 more source