Special Issue "Recent Advances in Computational Intelligence Paradigms and Machine Learning for Security, Privacy and Forensics in Cloud Computing"
Deadline for manuscript submissions: closed (31 December 2018)
Dr. B. B. Gupta
National Institute of Technology, Kurukshetra, India
Interests: information security; cyber security; cloud security; mobile and web security; wireless sensor networks security and intrusion detection
Dr. Shingo Yamaguchi
Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Japan
Interests: theoretical computer science; software engineering; including their application to consumer electronics; machine learning; cyber security and cloud computing
Dr. Christian Esposito
University of Salerno, Italy
Interests: positioning systems; reliable and secure communications; distributed and dependable systems
Prof. Dr. Michael Sheng
Today, cloud computing services are becoming pivotal parts of modern information and communication systems, and in our daily lives. Cloud computing has proven to be an incredible technology for provisioning quickly-deployed and scalable information technology (IT) solutions at reduced infrastructure costs. Unfortunately, the use of the cloud raises serious issues related to security, privacy, latency, inadequate service levels, governance, forensics, data protection, maturity, and reliability. These are the issues that prevent Cloud Computing solutions from becoming the prevalent alternative for mission-critical systems. Moving information assets to the cloud computing platform offers the potentials of reduced costs, on-demand self-service, ubiquitous network access, location independent resource pooling, rapid elasticity and measured service for the cloud user. As such, these cloud computing services open a number of security, privacy and forensics issues and challenges.
The concept of applying a computational intelligence (CI) and machine learning to ensure the security, privacy and forensics of users’ data in the cloud is feasible and sound. Moreover, CI and its associated learning paradigms show promise in a large number of application areas related to cloud security and privacy, cloud management, cloud forensics, optimization analysis, and so on. Consequently, the CI paradigm consists of various branches that are not limited to expert systems, artificial immune system, swarm intelligence, fuzzy system, neural network, evolutionary computing, and various hybrid systems, which are combinations of two or more branches. However, the recent advances in the CI paradigm and its solutions are promising; more investigations are still required to convert theoretical approaches into practical solutions that can be efficiently adopted for security, privacy and forensics of clouds users’ data. This Special Issue intends to bring together state-of-art research and developments on CI approaches for security and privacy of cloud services, novel attacks on cloud services, cloud forensics and novel defenses for cloud service attacks and cloud security analysis. We invite researchers to contribute original research articles, as well as comprehensive review articles, which will seek to understand CI techniques, leading to real-world cloud challenges and future improvements in security, privacy and forensics for cloud data and services.
The topics relevant to this Special Issue include, but are not limited to:
- Cyber-security issues in clouds
- Information revelation and privacy in cloud computing
- Multi-party online gaming on clouds—risk, threat and security solutions
- Cloud computing security data analysis tools and services
- Secured handling of extra-scale computational loads on clouds
- Anonymous authentication for privacy preserving in the cloud
- Privacy concepts and applications in cloud platforms
- User behaviour and modelling on cyberspace
- Cloud forensics
- Security and privacy of cloud user’s data
- Evolutionary algorithms for privacy analysis in cloud computing
- Evolutionary algorithms for mining cloud computing for decision support
- Optimization of dynamic processes in cloud computing
- Computational intelligence solutions to security and privacy issues in mobile cloud computing
- Chaos theory and chaotic systems for cloud content security
- Soft computing technologies for both quantitative and qualitative security assessment and privacy management in cloud computing
- Artificial neural network and neural system applied to cloud computing and mitigating the privacy risks of cloud networking
- Cloud databases built to be highly scalable and robust against hardware failures
- Cloud storage resilience designed to run over distributed file systems providing data replication and automatic failover capabilities
- Cyber-attacks and solutions for high fidelity cloud storage
Coherent list of topics:
Papers must be tailored to the emerging fields of CI paradigms regarding security, privacy and forensics of Cloud data and services through deployments models, challenges and novel solutions. The editors maintain the right to reject papers they deem to be out of scope of this Special Issue. Only originally unpublished contributions and invited articles will be considered for the issue. The papers should be formatted according to the journal guidelines.
Dr. B. B. Gupta
Dr. Shingo Yamaguchi
Dr. Christian Esposito
Dr. Michael Sheng
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.