Results 101 to 110 of about 32,608 (204)
Visualization and deep-learning-based malware variant detection using OpCode-level features
, 2021 Malicious software (malware) is a major threat to the systems and networks’ security. Although anti-malware products are used to protect systems and networks against malware attacks, obfuscated malware that is capable of evading analysis and detection by
Alhashmi, A. +4 more
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MalSSL—Self-Supervised Learning for Accurate and Label-Efficient Malware Classification
IEEE AccessMalware classification with supervised learning requires a large dataset, which needs an expensive and time-consuming labeling process. In this paper, we explore the efficacy of self-supervised learning techniques for malware classification.
Setia Juli Irzal Ismail +4 more
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A Data Mining Classification Approach for Behavioral Malware Detection
Journal of Computer Networks and Communications, 2016 Data mining techniques have numerous applications in malware detection. Classification method is one of the most popular data mining techniques. In this paper we present a data mining classification approach to detect malware behavior.
Monire Norouzi +2 more
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Proceedings of the 8th International Conference on Information Systems Security and Privacy, 2022 Robert Choudhury +2 more
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The Malware as a Service Ecosystem
The goal of this chapter is to illuminate the operational frameworks, key actors, and significant cybersecurity implications of the Malware as a Service (MaaS) ecosystem. Highlighting the transformation of malware proliferation into a service-oriented model, the chapter discusses how MaaS democratises access to sophisticated cyberattack capabilities ...
Patsakis, Constantinos +2 more
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HoneyBow:an automated malware collection tool based on the high-interaction honeypot principle
Tongxin xuebao, 2007 Malware has become one of the severest threats to the public Internet.To deal with the malware breakout ef-fectively as early as possible,an automated malware collection solution must be implemented as a precondition.An automated malware collection tool ...
ZHUGE Jian-wei1 +5 more
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CSMC: A Secure and Efficient Visualized Malware Classification Method Inspired by Compressed Sensing
SensorsWith the rapid development of the Internet of Things (IoT), the sophistication and intelligence of sensors are continually evolving, playing increasingly important roles in smart homes, industrial automation, and remote healthcare.
Wei Wu +3 more
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En la actualidad, los emprendedores de la ciudad de Ambato se encuentran en una creciente dependencia de los dispositivos móviles para llevar a cabo sus operaciones comerciales.
Chacha Chadan, Édgar Fabricio
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Malware diffusion models for modern complex networks : theory and applications /
Malware Diffusion Models for Wireless Complex Networks: Theory and Applications provides a timely update on malicious software (malware), a serious concern for all types of network users, from laymen to experienced administrators. As the proliferation of
Karyotis, Vasileios,author. +1 more
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Android Applications Security [PDF]
The use of smartphones worldwide is growing very fast and also the malicious attacks have increased. The mobile security applications development keeps the pace with this trend. The paper presents the vulnerabilities of mobile applications.
Paul POCATILU
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