International Journal of System Assurance Engineering and Management - Call for Papers: Special Issue on 'Artificial Intelligence in Cloud Network Security for Financial Applications'
Modern financial systems continue to embrace cloud computing as cloud adoption ensures secure, compliant, and ultimately benefits the financial industry. With the cloud, businesses are able to develop on-demand applications, cutting-edge computing tools, and more with increased adaptability, greater flexibility in expanding, and a low capital expenditure. More importantly, in financial organizations budgetary constraints and security are key considerations and they view cloud to be more vital for efficient management. Thus, the advancement of artificial intelligence (AI) techniques open up new opportunities in selecting and providing reliable cloud service providers for security, storage, financial applications, and quality-of-service (QoS). By integrating high-end artificial intelligence frameworks into cloud services, cloud providers can ensure that financial applications and other applications are available in a trustworthy, robust, scalable, and dynamic environment.
The latest and emerging developments in the technology that aim to protect cloud infrastructure and the resources deployed in the network. The need for analytical insights to anticipate opportunities for business growth, and improve technology strategy decisions through the evaluation of evolving trends in identity and access management, end-point security, intrusion protection and detection systems, etc., is critical for network security. Furthermore, cloud network security issues in the financial sector are challenging, vulnerable to cyber-attacks, demanding resources, protecting remote access to financial data, and balancing flexibility and scalability. Currently, many financial services companies are at the initial stages of designing novel cloud-related strategies, and numerous businesses have encountered security breaches in the public cloud infrastructure as a result of configuration errors, unreliable data sharing, unauthorized access, and exploits of vulnerabilities. Even though many organizations have already migrated to the cloud, there is an increasing demand for cloud network security due to a variety of problems, such as operational performance limitations, scams, and others which may slow down cloud adoption. In accordance with applicable regulations, it is imperative to protect and prevent attacks against cloud-based applications and data. The construction of anti-fraud systems and fraud investigations by incorporating AI-based smart anomaly detection minimizes the uncertainty of outdated technologies by affording businesses with detailed real-time perspectives of the ever-increasing threat environment.
This special issue highlights AI-based approaches to increase user experience and promote success probabilities in leveraging the cloud for implementing financial applications and its methods to analyze and optimize performance assessment models. The special issue invites articles relevant to advanced AI are invited to this special issue.
Topics include but are not limited to the following:
AL algorithms and robust strategies in cloud network security for real-time financial threat detection and mitigationAI sensors and pattern recognition methodologies in cloud environments for financial application securityCybersecurity intelligence tools in security operations and blocking attacks for time critical cloud applications AI breakthroughs and big data analytics in the cloud for financial supply chain managementAI trends and blockchain-enabled edge computing techniques in financial servicesAI applications and challenges in multi-cloud networking and security for business cloud financial managementAI and machine learning (ML) frameworks-based automated threat modeling and secure cloud architecture for the financial industryNovel AI-based cryptographic techniques and algorithms in cloud storage for next-gen financial applicationsAI potential impacts on cloud network security for smart mobile financial applications and management AI and software-defined networking (SDN)-based hybrid clouds for secure seamless communication and financial applicationsAI-based solutions for proactive financial vulnerability tracking and combating cloud migration barriersAI-enabled smart risk assessment in cloud banking for industrial applicationsAI in software quality assurance and validation of multi-cloud management approaches for the financial sectorAI in the security assurance framework and standards for finance-based business demand management
Manuscript Submission Information:
Original and unpublished works on any of the topics or related are welcome. The Journal has a rigorous peer-reviewing process and at least two referees will review papers.
All submitted papers must be formatted according to the journal's instructions, which can be found at:
https://www.springer.com/journal/13198/submission-guidelines (this opens in a new tab)
Please submit your manuscript through the Journal’s homepage at https://www.springer.com/journal/13198 (this opens in a new tab)
To ensure a paper is considered for the Special Issue, reply “yes” when asked during submission whether it is intended for a special issue and select “Special Issue on Artificial Intelligence in Cloud Network Security for Financial Applications” from the drop-down menu.
For questions, please contact:
Guest Editors:
Stavros Shiaeles, University of Portsmouth, Portsmouth, U.K. E-mail: stavros.shiaeles@ieee.org (this opens in a new tab); stavros.shiaeles@port.ac.uk (this opens in a new tab)
Amir Masoud Rahmani, National Yunlin University of Science and Technology, Taiwan; E-mail: rahmani74@yahoo.com (this opens in a new tab); rahmania@yuntech.edu.tw (this opens in a new tab)
Thiago Christiano Silva, Catholic University of Brasilia, Central Bank of Brazil Brazil; E-mail: thiagochris@gmail.com (this opens in a new tab)
Publishing Schedule:
Deadline for original manuscripts submission: 30 July 2024