Results 11 to 20 of about 134,256 (265)
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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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
doaj +1 more source
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
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.
Eren, Maksim E. +4 more
openaire +2 more sources
Adaptive secure malware efficient machine learning algorithm for healthcare data
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed +8 more
wiley +1 more source
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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Automated Machine Learning for Deep Learning based Malware Detection [PDF]
Computers & security, 2023 Deep learning (DL) has proven to be effective in detecting sophisticated malware that is constantly evolving. Even though deep learning has alleviated the feature engineering problem, finding the most optimal DL model, in terms of neural architecture ...
Austin R. Brown +2 more
semanticscholar +1 more source
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
doaj +1 more source
Artificial Intelligence-Based Malware Detection, Analysis, and Mitigation
Symmetry, 2023 Malware, a lethal weapon of cyber attackers, is becoming increasingly sophisticated, with rapid deployment and self-propagation. In addition, modern malware is one of the most devastating forms of cybercrime, as it can avoid detection, make digital ...
Amir Djenna +3 more
semanticscholar +1 more source
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
doaj +1 more source