Results 1 to 10 of about 97,198 (223)
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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Analisis Ekstraksi Fitur dan Klasifikasi Data Keluarga Malware Menggunakan Convolutional Neural Network [PDF]
, 2023 Malware merupakan perangkat lunak berbahaya yang dapat mengganggu kinerja dari suatu sistem, dan telah menjadi salah satu cyber threat yang perlu mendapat perhatian khusus.
Akbi, Denar Regata, Suhardi, Diding
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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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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.
Eren, Maksim E. +4 more
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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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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\u27t have user permissions. The purpose of making malware by hackers is to get profits in an illegal way. Therefore, we need a malware analysis.
Budiono, A. (Avon), Suryati, O. T. (One)
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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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