International Journal of System Assurance Engineering and Management - Call for Papers: Special Issue on 'AI in Cryptography for Securing Multi-Cloud Applications and Management'

Artificial intelligence (AI) is a rapidly evolving field with continuous advancements and innovations. AI plays a significant role in cryptography by enhancing cryptographic systems' security, efficiency, and functionality. Evolving AI algorithms contribute to ground-breaking developments and improvements in encryption techniques. AI-based machine learning and optimization algorithms can help create stronger cryptographic algorithms, enhancing encryption key generation, and improving the overall security of cryptographic systems. By leveraging AI in cryptography, organizations can enhance the security and privacy of their systems, defend against attacks, safeguard sensitive data, and ensure the integrity of communication and transactions which is a critical demand on the whole.

On the other hand, multi-cloud systems combine multiple cloud service providers (CSPs) simultaneously which are inevitably evolving to meet increasing computing needs and manage modern businesses' challenges. Multi-cloud systems enhance reliable security and minimize downtime by distributing workloads across multiple CSPs. In the event of a security breach or data loss, the impact is minimized as data is dispersed across different providers. Organizations can also implement security controls and measures specific to each provider, ensuring comprehensive security coverage. While multi-cloud applications offer numerous benefits, they also come with their own set of challenges. Managing multiple CSPs can introduce complexity. Multi-cloud applications face additional security challenges. Organizations need to implement consistent security controls and policies across different cloud providers, ensuring data confidentiality, integrity, and availability. Managing access controls, encryption, and security monitoring across multiple environments can be complex. Compliance with industry regulations and data privacy requirements may vary across different cloud providers, necessitating careful planning and implementation.

Addressing these challenges requires careful planning, architectural considerations, and appropriate management tools. It is essential to understand the specific needs and constraints of the organization and leverage appropriate strategies to mitigate these challenges effectively. Even though AI can enhance the security of multi-cloud environments, it should be implemented alongside other security measures and best practices. Thus, comprehensive security strategies that combine evolving AI with cryptographic techniques, secure coding practices, access controls, and regular security assessments are essential for robust multi-cloud application and management security.

This special issue outlines the present and future demands of AI in advancing cryptography to optimize security, smart decision-making, policies, and integration of innovative technologies for efficient applications of multi-cloud systems and management. Potential topics include, but are not limited to the following:

• AI algorithms and cryptography-driven hybrid and multi-cloud automated security frameworks for business-critical applications
• AI-aware cryptographic trends in multi-cloud applications for the smart banking system
• AI-optimized cryptographic algorithms in multi-cloud technologies for security assurance in communication systems
• AI and quantum cryptography-based multi-cloud storage architectures for mobile healthcare systems
• AI-supported quality assurance techniques in multi-cloud applications for data security management
• AI tools in multi-cloud management: anomaly detection, threat mitigation, and identifying optimization opportunities
• Advances in AI-enabled trust assessment methods of the cloud for real-time business intelligence and applications
• AI and cryptographic innovations in multi-cloud resilience for smart agriculture applications
• AI-enriched encryption algorithms in mobile multi-cloud applications and management techniques for biometric authentication
• Novel AI-based multi-cloud human activity recognition for autonomous system applications
• AI-enabled risk assessment and management for multi-cloud software development and future applications
• AI in multi-cloud data analytics for supply chain management and its prospects

Guest Editors:
Prof. Mansaf Alam, Jamia Millia Islamia, Central Univ, India
email: malam2@ieee.org (this opens in a new tab); malam2@jmi.ac.in (this opens in a new tab)
https://scholar.google.co.in/citations?user=P3upvD8AAAAJ&hl=en (this opens in a new tab)

Dr. Christoforos Ntantogian, Ionian University, Greece
Email: dadoyan@ionio.gr (this opens in a new tab)
https://scholar.google.com/citations?user=rbgbnqkAAAAJ&hl=en (this opens in a new tab)

Dr. Kooroush Manochehri Kalantari, Amirkabir University of Technology, Iran
email: kmanochehri@aut.ac.ir (this opens in a new tab)
https://scholar.google.com/citations?user=mWEj3ckAAAAJ&hl=en (this opens in a new tab)

Deadlines:
Submission deadline: 31-Mar-2024
First-round decision: 31-May-2024
Deadline for Revised Papers: 30-Jul-2024
Acceptance: 30-Sep-2024

Biographies of Guest Editors:

Dr. Mansaf Alam	Dr. Mansaf Alam has been working as Professor in the Department of Computer Science, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi-110025, Young Faculty Research Fellow, DeitY, Govt. of India & Editor-in-Chief, Journal of Applied Information Science. He has published several research articles in reputed International Journals and Proceedings of reputed International conferences published by IEEE, Springer, Elsevier Science, and ACM. His area of research include Big Data Analytics, Machine Learning & Deep Learning,  Cloud Computing, Cloud database management system(CDBMS), Object Oriented Database System(OODBMS), Genetic Programming, Bioinformatics, Image Processing, Information Retrieval and Data Mining.
Dr. Christoforos Ntantogian (Dadoyan)	Dr. Christoforos Ntantogian (Dadoyan) received his B.Sc. degree in Computer Science and Telecommunications in 2004 and his M.Sc. degree in Computer Systems Technology in 2006 both from the Department of Informatics and Telecommunications of University of Athens. In 2009 he received his Ph.D. from the University of Athens (Department of Informatics and Telecommunications). Currently, he is an assistant professor at the Department of Informatics of the Ionian University. His research interests are on practical aspects of computer and network security
Dr. Kooroush Manochehri Kalantari	Dr. Kooroush Manochehri Kalantari is working as an Assistant Professor in the Department of Computer Engineering and Information Technology at Amirkabir University of Technology, Iran. His research interest includes VHDL Programming, Digital Electronics, FPGA Programming, Microcontrollers, Embedded Electronics, Circuit Simulation, Microcontroller Programming, Embedded Programming, and Cryptography.