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A Comprehensive Review on Malware Detection Approaches
IEEE Access, 2020 According to the recent studies, malicious software (malware) is increasing at an alarming rate, and some malware can hide in the system by using different obfuscation techniques.
Ömer Aslan, Refik Samet
exaly +3 more sources
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
doaj +1 more source
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware
2023 IEEE International Conference on Intelligence and Security Informatics (ISI), 2023 Malware is one of the most dangerous and costly cyber threats to national security and a crucial factor in modern cyber-space. However, the adoption of machine learning (ML) based solutions against malware threats has been relatively slow. Shortcomings in the existing ML approaches are likely contributing to this problem.
Maksim Ekin Eren +4 more
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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-on-the-Brain: Illuminating Malware Byte Codes With Images for Malware Classification
IEEE Transactions on Computers, 2023 Malware is a piece of software that was written with the intent of doing harm to data, devices, or people. Since a number of new malware variants can be generated by reusing codes, malware attacks can be easily launched and thus become common in recent years, incurring huge losses in businesses, governments, financial institutes, health providers, etc.
Fangtian Zhong +5 more
openaire +2 more sources
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
doaj +1 more source
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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