Enhancing Cybersecurity: Advanced Attack Detection and Defense Techniques

Dear Colleagues,

Cyber attacks are becoming more sophisticated and, hence, more difficult to detect, compromising and exhausting critical resources and services. Detecting these advanced cyber threats is a topic of great interest in cybersecurity. Therefore, this Special Issue examines the latest trends in cyber attacks, such as sophisticated ransomware, malware attacks, phishing attacks, advanced persistent threats (APTs), zero-day vulnerabilities, and DDoS botnet attacks. In recent years, we have encountered frequent and complex threats, making it essential to develop advanced defense techniques. Developing advanced cyber defense techniques is crucial for effectively detecting network anomalies that are becoming more challenging to identify. Novel methods for detecting these threats are developed, utilizing machine learning to enhance anomaly detection accuracy and reduce inference times. Various tools are used for cybersecurity, including firewalls, malware detection software, and intrusion detection systems (IDSs), which detect unauthorized access to the network. Moreover, effective defense strategies focus on multi-layered security frameworks and zero-trust architectures, ensuring every access request is carefully checked to reduce the risk of unauthorized access. Additionally, IoT security is critical as interconnected devices become more prevalent, requiring robust frameworks to protect against vulnerabilities. Blockchain security is also an important topic to analyze by extracting appropriate features and developing frameworks to improve data integrity and secure transaction processes. We invite submissions on topics like cybersecurity, cyber attacks, advanced detection techniques, machine learning, intrusion detection systems, IoT security, zero-trust security, and blockchain security to help advance the field.

Dr. Zhida Li
Dr. Zakaria Alomari
Guest Editors

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• cybersecurity
• cyber attacks
• advanced detection techniques
• machine learning
• intrusion detection systems
• security analytics
• IoT security
• zero-trust security
• blockchain security
• communication networks