Abstract Software Defect Prediction (SDP) is a major research field in the software development life cycle. The accurate SDP would assist software developers and engineers …
S Kaddoura, AE Arid, M Moukhtar - Proceedings of the Future …, 2022 - Springer
The increased demand for network security nowadays is becoming a crucial strategy. Accordingly, a need for intrusion detection system is essential to track cybersecurity attacks …
J Lu, A Bhar, A Sarkar, A Noorwali, KM Othman - Internet of Things, 2024 - Elsevier
Ensuring strong security measures against intrusions is of utmost importance in the ever- changing field of information management systems. Conventional Intrusion Detection …
F Riza - Jurnal Sistim Informasi Dan Teknologi, 2023 - jsisfotek.org
Intrusion detection is one of the fundamental parts of a security tool, such as adaptive security tools, intrusion detection systems, intrusion prevention systems and firewalls. There …
S Alshattnawi - J. Theor. Appl. Inf. Technol, 2023 - jatit.org
The advances in using technologies and the Internet increase the spread of data over the network. New attacks may be generated to threaten network security and data integrity, in …
N Patil - International Journal of e-Collaboration (IJeC), 2022 - igi-global.com
In this research, a new level set-based segmentation algorithm was proposed for human face segmentation. At first, the human facial images were collected from face semantic …
Y Xu, Y Liu, JX Ma - International Symposium on Security and Privacy in …, 2022 - Springer
Software-defined networking (SDN) can provide flexible traffic control and is an important part of the next-generation computer network. Distributed Denial of Service (DDoS) attack …
K Azarudeen, D Ghulam, G Rakesh… - E3S Web of …, 2024 - e3s-conferences.org
As computer networks continue to grow, network intrusions become more frequent, advanced, and volatile, making it challenging to detect them. This has led to an increase in …
AS Khanfar, FA Lone, MD Moizuddin - International Journal of …, 2022 - academia.edu
Machine learning is a widely interdisciplinary field centered on theories from cognitive science, computer science, statistics, optimization and many other theoretical and …