Topic: Security-Pattern Recognition and Validation

Security-pattern recognition and validation are pivotal in safeguarding digital systems and data integrity across various domains. This Special Issue invites researchers and practitioners to contribute their insights and expertise on recognizing and validating security patterns, addressing crucial challenges, and proposing innovative solutions.

Spanning a wide spectrum of topics, this issue aims to explore cutting-edge research in security-pattern recognition and validation. Some of the key areas to be covered include:
● Machine learning and deep learning approaches for security-pattern recognition;
● Pattern-based anomaly detection and intrusion detection systems;
● Biometric pattern recognition and authentication techniques;
● Behavioral analysis for security event detection and response;
● Pattern-based malware detection and classification;
● Cryptographic pattern recognition and validation methods;
● Security-pattern validation frameworks and methodologies;
● Real-world applications and case studies showcasing the effectiveness of security-pattern recognition techniques;
● Performance evaluation and benchmarking of security-pattern recognition systems;
● Emerging trends and future directions in security-pattern recognition and validation.

Academics, research students and professionals are invited to submit original work. Extended conference papers are also welcome, provided they have been revised and contain at least 50% new content.

Pattern recognition, validation, security issues

31 Aug 2024