Results 31 to 40 of about 4,236,332 (208)
Applied Sciences, 2023 Since the development of information systems during the last decade, cybersecurity has become a critical concern for many groups, organizations, and institutions.
Ashwag Albakri +4 more
semanticscholar +1 more source
Intelligent Vision-Based Malware Detection and Classification Using Deep Random Forest Paradigm
IEEE Access, 2020 Malware is a rapidly increasing menace to modern computing. Malware authors continually incorporate various sophisticated features like code obfuscations to create malware variants and elude detection by existing malware detection systems.
S. Abijah Roseline +3 more
doaj +1 more source
Analyzing the performance of long short‐term memory architectures for malware detection models
Concurrency and Computation, 2023 Malicious software forms a threat to many software‐intensive systems and as such several malware detection approaches have been introduced, often based on sequential data analysis.
Çigdem Avci Salma +2 more
semanticscholar +1 more source
Automated Android Malware Detection Using Optimal Ensemble Learning Approach for Cybersecurity
IEEE Access, 2023 Current technological advancement in computer systems has transformed the lives of humans from real to virtual environments. Malware is unnecessary software that is often utilized to launch cyber-attacks.
Hayam Alamro +5 more
semanticscholar +1 more source
IoT malware detection architecture using a novel channel boosted and squeezed CNN [PDF]
Scientific Reports, 2022 Interaction between devices, people, and the Internet has given birth to a new digital communication model, the internet of things (IoT). The integration of smart devices to constitute a network introduces many security challenges.
M. Asam +3 more
semanticscholar +1 more source
Malware Detection Issues, Challenges, and Future Directions: A Survey
Applied Sciences, 2022 The evolution of recent malicious software with the rising use of digital services has increased the probability of corrupting data, stealing information, or other cybercrimes by malware attacks.
Faitour. A. Aboaoja +5 more
semanticscholar +1 more source
An Insight into the Machine-Learning-Based Fileless Malware Detection
Italian National Conference on Sensors, 2023 In recent years, massive development in the malware industry changed the entire landscape for malware development. Therefore, cybercriminals became more sophisticated by advancing their development techniques from file-based to fileless malware.
Osama Khalid +7 more
semanticscholar +1 more source
Self-Supervised Vision Transformers for Malware Detection [PDF]
IEEE Access, 2022 Malware detection plays a crucial role in cyber-security with the increase in malware growth and advancements in cyber-attacks. Previously unseen malware which is not determined by security vendors are often used in these attacks and it is becoming ...
Sachith Seneviratne +3 more
semanticscholar +1 more source
IEEE Transactions on Emerging Topics in Computing, 2023 Zero-day malicious software (malware) refers to a previously unknown or newly discovered software vulnerability. The fundamental objective of this paper is to enhance detection for analogous zero-day malware by efficient learning to plausible generated ...
Dong-Ok Won +2 more
semanticscholar +1 more source
Performance Monitoring Counter Based Intelligent Malware Detection and Design Alternatives
IEEE Access, 2022 Hardware solutions for malware detection are becoming increasingly important as software-based solutions can be easily compromised by intelligent malware.
Jordan Pattee +2 more
doaj +1 more source