Results 11 to 20 of about 25,310,274 (105)
Survey of Machine Learning Techniques for Malware Analysis [PDF]
Computers & security, 2018 Coping with malware is getting more and more challenging, given their relentless growth in complexity and volume. One of the most common approaches in literature is using machine learning techniques, to automatically learn models and patterns behind ...
Aniello, Leonardo +2 more
core +4 more sources
Machine Learning Aided Static Malware Analysis: A Survey and Tutorial [PDF]
arXiv.org, 2018 Malware analysis and detection techniques have been evolving during the last decade as a reflection to development of different malware techniques to evade network-based and host-based security protections.
Andrii Shalaginov +8 more
core +2 more sources
Nebula: Self-Attention for Dynamic Malware Analysis [PDF]
IEEE Transactions on Information Forensics and Security, 2023 Dynamic analysis enables detecting Windows malware by executing programs in a controlled environment and logging their actions. Previous work has proposed training machine learning models, i.e., convolutional and long short-term memory networks, on ...
Dmitrijs Trizna +3 more
semanticscholar +1 more source
A Survey on Adversarial Attacks for Malware Analysis [PDF]
IEEE Access, 2021 Machine learning-based malware analysis approaches are widely researched and deployed in critical infrastructures for detecting and classifying evasive and growing malware threats.
Kshitiz Aryal +2 more
semanticscholar +1 more source
Malware Analysis and Detection Using Machine Learning Algorithms
Symmetry, 2022 One of the most significant issues facing internet users nowadays is malware. Polymorphic malware is a new type of malicious software that is more adaptable than previous generations of viruses.
M. Akhtar, Tao Feng
semanticscholar +1 more source
Italian National Conference on Sensors, 2023 In this study, the methodology of cyber-resilience in small and medium-sized organizations (SMEs) is investigated, and a comprehensive solution utilizing prescriptive malware analysis, detection and response using open-source solutions is proposed for ...
Lucian Florin Ilca, P. Ogrutan, T. Balan
semanticscholar +1 more source
IoT Malware Analysis Using Federated Learning: A Comprehensive Survey
IEEE Access, 2023 The Internet of Things (IoT) has paved the way to a highly connected society where all things are interconnected and exchanging information has become more accessible through the internet.
Madumitha Venkatasubramanian +2 more
semanticscholar +1 more source
Malware Analysis in IoT & Android Systems with Defensive Mechanism
Electronics, 2022 The Internet of Things (IoT) and the Android operating system have made cutting-edge technology accessible to the general public. These are affordable, easy-to-use, and open-source technology.
Chandra Shekhar Yadav +8 more
semanticscholar +1 more source
Tree-Based Classifier Ensembles for PE Malware Analysis: A Performance Revisit
Algorithms, 2022 Given their escalating number and variety, combating malware is becoming increasingly strenuous. Machine learning techniques are often used in the literature to automatically discover the models and patterns behind such challenges and create solutions ...
M. Louk, Bayu Adhi Tama
semanticscholar +1 more source
A multilabel fuzzy relevance clustering system for malware attack attribution in the edge layer of cyber-physical networks [PDF]
, 2020 The rapid increase in the number of malicious programs has made malware forensics a daunting task and caused users’ systems to become in danger. Timely identification of malware characteristics including its origin and the malware sample family would ...
Alaeiyan, M +4 more
core +2 more sources