As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily life. Despite the AI benefits, its application suffers from the opacity of complex internal …
Medical datasets are usually imbalanced, where negative cases severely outnumber positive cases. Therefore, it is essential to deal with this data skew problem when training …
Malware is constantly evolving with rising concern for cyberspace. Deep learning-based malware detectors are being used as a potential solution. However, these detectors are …
Malware detection approaches can be classified into two classes, including static analysis and dynamic analysis. Conventional approaches of the two classes have their respective …
Today's advancements in wireless communication technologies have resulted in a tremendous volume of data being generated. Most of our information is part of a widespread …
Cyber security has become increasingly challenging due to the proliferation of the Internet of things (IoT), where a massive number of tiny, smart devices push trillion bytes of data to the …
H Jung, J Jeon, D Choi, JY Park - Sustainability, 2021 - mdpi.com
With sustainable growth highlighted as a key to success in Industry 4.0, manufacturing companies attempt to optimize production efficiency. In this study, we investigated whether …
Several recent research efforts have proposed Machine Learning (ML)-based solutions that can detect complex patterns in network traffic for a wide range of network security problems …