Results 41 to 50 of about 32,608 (204)
Quantum Information Processing, 2006 When quantum communication networks proliferate they will likely be subject to a new type of attack: by hackers, virus makers, and other malicious intruders. Here we introduce the concept of "quantum malware" to describe such human-made intrusions. We offer a simple solution for storage of quantum information in a manner which protects quantum networks
Lian-Ao Wu, Daniel A. Lidar
openaire +3 more sources
IEEE AccessCloud computing is integral to modern IT infrastructure, with Linux-based virtual machines (VMs) comprising 95% of public cloud environments. This widespread use makes Linux VMs a prime target for cyberattacks, particularly advanced malware designed for ...
Tom Landman, Nir Nissim
doaj +1 more source
FAM: Featuring Android Malware for Deep Learning-Based Familial Analysis
IEEE Access, 2022 To handle relentlessly emerging Android malware, deep learning has been widely adopted in the research community. Prior work proposed deep learning-based approaches that use different features of malware, and reported a high accuracy in malware detection,
Younghoon Ban +4 more
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Demystifying Malware Image Visualization: Enhancing Reproducibility and Explainability [PDF]
, 2023 openL'aumento persistente dei malware riscontrati nel mondo digitale ha rappresentato un ostacolo continuo per i ricercatori nell'ambito della sicurezza informatica, dall'avvento dei personal computer fino ai giorni nostri.
BROSOLO, MATTEO
core
Journal of Computer Virology and Hacking Techniques, 2020 When training a machine learning model, there is likely to be a tradeoff between accuracy and the diversity of the dataset. Previous research has shown that if we train a model to detect one specific malware family, we generally obtain stronger results as compared to a case where we train a single model on multiple diverse families. However, during the
Samanvitha Basole +2 more
openaire +5 more sources
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
Reanimating Historic Malware Samples
, 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
Impact Analysis of Malware Based on Call Network API with Heuristic Detection Method [PDF]
, 2020 Malware is a program that has a negative influence on computer systems that don't have user permissions. The purpose of making malware by hackers is to get profits in an illegal way. Therefore, we need a malware analysis.
Suryati, One Tika +3 more
core +1 more source
Evaluation of Supervised Machine Learning Techniques for Dynamic Malware Detection
International Journal of Computational Intelligence Systems, 2018 Nowadays, security of the computer systems has become a major concern of security experts. In spite of many antivirus and malware detection systems, the number of malware incidents are increasing day by day.
Hongwei Zhao +3 more
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Mal-Detect: An intelligent visualization approach for malware detection
Journal of King Saud University: Computer and Information Sciences, 2022 Recent outbreaks of pandemics have deepened the adoption and use of IT-based systems. This development has led to an exponential increase in cyberattacks caused by malware.
Olorunjube James Falana +3 more
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