In recent years, the exponential growth of malware has posed a significant security threat to
intelligent systems. Earlier static and dynamic analysis methods fail to achieve effective …

The number of malware infected machines from all over the world has been growing day by
day. New malware variants appear in the wild to evade the malware detection and …

Cyberbullying (CB) is a distressing online behavior that disturbs mental health significantly.
Earlier studies have employed statistical and Machine Learning (ML) techniques for CB …

The integration of communication networks and the Internet of Things (IoT) in Industrial
Control Systems (ICSs) increases their vulnerability towards cyber-attacks, causing …

Malware is a rapidly increasing menace to modern computing. Malware authors continually
incorporate various sophisticated features like code obfuscations to create malware variants …

Malware is a key component of cyber-crime, and its analysis is the first line of defence
against cyber-attack. This study proposes two new malware classification frameworks: Deep …

Malware is one of the most frequent cyberattacks, with its prevalence growing daily across
the network. Malware traffic is always asymmetrical compared to benign traffic, which is …

Machine learning techniques are being widely used to develop an intrusion detection
system (IDS) for detecting and classifying cyberattacks at the network-level and the host …

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 …

Digital systems are changing to security systems in contemporary days. It is time for the
digital system to have sufficient security to defend against threats and attacks. The intrusion …