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Adversarial Malware Generation Method Based on Genetic Algorithm [PDF]
Jisuanji kexue, 2023 In recent years,with the development of Internet technology,malware has become an important method of network attack.To defend against malware attacks,deep learning techniques can be applied to malware detection.However,due to the limitations of deep ...
LI Kun, GUO Wei, ZHANG Fan, DU Jiayu, YANG Meiyue
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Attention-Based Cross-Modal CNN Using Non-Disassembled Files for Malware Classification
IEEE Access, 2023 The role of malware classification is crucial in addressing the explosive increase in malware variants. By classifying malware instances into malware families, malware analysts can apply appropriate techniques and tools to handle malware variants in each
Jeongwoo Kim +2 more
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Malware Detection on Local Network based on Honeypot and Yara
Sistemasi: Jurnal Sistem Informasi, 2023 The malware threats have never subsided, even the trend shows an increase and varies along with the development of hardware and software technology. End user may not realize if their machine is compromised by malware.
Nur Rohman Rosyid +4 more
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IEEE Access, 2022 Malware has plagued the internet and computing systems for decades. The war against malware has always been an arms race. Researchers and industry have constantly improved detection and prevention methodologies against increasingly more evasive malware ...
Siwon Huh +4 more
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Analysis of Mobile Malware: A Systematic Review of Evolution and Infection Strategies
Journal of Information Security and Cybercrimes Research, 2021 The open-source and popularity of Android attracts hackers and has multiplied security concerns targeting devices. As such, malware attacks on Android are one of the security challenges facing society.
Ashawa Moses, Sarah Morris
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Study on Malware Classification Based on N-Gram Static Analysis Technology [PDF]
Jisuanji kexue, 2022 In order to solve the problem of low accuracy of malware classification,this paper proposes a research on malware classification based on N-Gram static analysis technology.Firstly,the N-Gram method is used to extract the byte sequence of length 2 from ...
ZHANG Guang-hua, GAO Tian-jiao, CHEN Zhen-guo, YU Nai-wen
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SEC-C-U: The Security of Intensive Care Unit Medical Devices and Their Ecosystems
IEEE Access, 2020 An intensive care unit (ICU) is dedicated to caring for patients whose medical condition places them at high risk of mortality or serious morbidity. ICU medical devices (ICUMDs) are used to closely monitor, stabilize, and treat ICU patients who are often
Carmel Eliash, Isaac Lazar, Nir Nissim
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On the Effectiveness of Perturbations in Generating Evasive Malware Variants
IEEE Access, 2023 Malware variants are generated using various evasion techniques to bypass malware detectors, so it is important to understand what properties make them evade malware detection techniques.
Beomjin Jin +3 more
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MalJPEG: Machine Learning Based Solution for the Detection of Malicious JPEG Images
IEEE Access, 2020 In recent years, cyber-attacks against individuals, businesses, and organizations have increased. Cyber criminals are always looking for effective vectors to deliver malware to victims in order to launch an attack.
Aviad Cohen, Nir Nissim, Yuval Elovici
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IEEE Access, 2020 Today, cardiac implantable electronic devices (CIEDs), such as pacemakers and implantable cardioverter defibrillators (ICDs), play an increasingly important role in healthcare ecosystems as patient life support devices.
Matan Kintzlinger +7 more
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