The Journal of Surveillance, Security and Safety is an international, peer-reviewed, open access journal which provides a forum for the publication of papers addressing the variety of theoretical, methodological, epistemological,  empirical and practical issues concerns reflected in the field of information security, cyber security, machine learning, emerging technologies, and their applications. In particular, the journal encourages articles in the following areas:

• AI-based surveillance and security
• Privacy protection based on machine learning
• Security of machine learning algorithms
• Deep learning for attack and defense
• Database security
• Data-driven cybersecurity incident prediction
• Big data security
• Cloud/fog computing security
• Outsourcing and crowdsourcing security
• Security and privacy in pervasive/ubiquitous computing
• Cyber-physical systems security
• Security, privacy and resilience in critical infrastructures
• Multimedia security
• Wireless network security
• Social networks and IoT security
• Information hiding, forensics and security
• Theory and applications of cryptography
• Identity management, authentication and access control
• Security policies, models and architectures
• Electronic commerce security
• Blockchain and finance security
• Intrusion detection
• Phishing and spam prevention
• Biometrics
• Regulation of the security industry
• Risk analysis, security measures and management
• Evaluations of Security Measures