Special Section on Cybersecurity: Privacy, Attack, and Defense

Notification Due

Aug 31, 2020

Final Version Due

Jun 25, 2026

Submission Deadline

Jul 31, 2020

With the exponential growth of interconnected devices and computers, cyber-physical systems have experienced a significant growth of cyber-attack incidents resulting in huge property losses. Cyber-attacks, caused by malware, software vulnerabilities, privacy breaches, diverse smart attackers, etc., are undoubtedly growing matters of public concern. For example, attacks on sensors, inter-vehicle communications, and entertainment platforms can enable hackers to steal, modify, and destroy sensitive data. In more extreme cases, hackers may gain access to system controls.

Conventional security schemes alone are insufficient to safeguard networks and protect user privacy for certain applications. Moreover, current network architectures face further security concerns as they are vulnerable to new types of attacks due to the utilization of the emerging technologies, such as software-defined networking (SDN), artificial intelligence (AI), and blockchain. For example, adversarial attacks could be carried out to fool AI models through undetected malicious inputs. Therefore, innovative and pioneering defense mechanisms are urgently needed in the cybersecurity domain to ensure security and privacy for systems and users.

This special section mainly focuses on privacy, attack, and defense in cybersecurity. We solicit papers on topics including, but not limited to:

Privacy-preserving protocols and architectures

Novel provable secure cryptographic schemes and protocols

Lightweight cryptographic schemes and protocols

New methods of threat modeling

Privacy and security in AI and machine learning

Privacy and security in SDN and 5G wireless networks

Privacy and security in blockchain systems

Privacy and security in IoT

Design of post-quantum cryptography

Secure authentication and access control

Hardware attacks and defenses

Real-time intrusion detection and risk management

New methods for malware and software vulnerability detection