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Quantum Classification of Malware

2014
The D-Wave architecture is a unique approach to computing which utilizes quantum annealing to solve discrete optimization problems. Applications for D-Wave machines include binary classification, complex protein-folding models, and heuristics for intractable problems such as the Traveling Salesman Problem.
openaire   +1 more source

A Generalized Unknown Malware Classification

2023
Nanda Rani   +5 more
openaire   +2 more sources

Automated Classification and Analysis of Internet Malware

2007
Numerous attacks, such as worms, phishing, and botnets, threaten the availability of the Internet, the integrity of its hosts, and the privacy of its users. A core element of defense against these attacks is anti-virus (AV) software--a service that detects, removes, and characterizes these threats.
Michael D. Bailey   +5 more
openaire   +2 more sources

Malware Message Classification by Dynamic Analysis

2015
The fact that new malware appear every day demands a strong response from anti-malware forces. For that sake, an analysis of new samples must be performed. Usually, one tries to replay the behavior of malware in a safe environment. However, some samples activate a malicious function only if they receive some particular inputs from its command and ...
Bonfante, Guillaume   +2 more
openaire   +3 more sources

A Classification of Malware Sandboxes and Their Architectures.

The development of sandboxes has evolved in parallel with malware improvements, providing secure environments for the execution and analysis of malicious software. With the increasing number of sandboxes being developed, each offering distinct features, selecting the most suitable solution for specific needs has become increasingly complex.
Bistarelli S., Burberi E. P., Santini F.
openaire   +2 more sources

Detection and Classification of Malware

2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), 2021
D Chandrakala   +3 more
openaire   +1 more source

MCTVD: A malware classification method based on three-channel visualization and deep learning

Computers and Security, 2023
Yuan Ping, Yunhe Cui, Guowei Shen
exaly  

Image-based malware classification using section distribution information

Computers and Security, 2021
Yunhe Cui, Guowei Shen, Chun Guo
exaly  

Malware classification and composition analysis: A survey of recent developments

Journal of Information Security and Applications, 2021
Miles Q Li   +2 more
exaly  

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