Journal Information
Information Sciences
http://www.journals.elsevier.com/information-sciences/
Impact Factor:
5.524
Publisher:
ELSEVIER
ISSN:
0020-0255
Viewed:
16152
Tracked:
69

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Call For Papers
Information Sciences will publish original, innovative and creative research results. A smaller number of timely tutorial and surveying contributions will be published from time to time.

The journal is designed to serve researchers, developers, managers, strategic planners, graduate students and others interested in state-of-the art research activities in information, knowledge engineering and intelligent systems. Readers are assumed to have a common interest in information science, but with diverse backgrounds in fields such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioural sciences and biochemistry.

The journal publishes high-quality, refereed articles. It emphasizes a balanced coverage of both theory and practice. It fully acknowledges and vividly promotes a breadth of the discipline of Informations Sciences.

Topics include:

Foundations of Information Science:
Information Theory, Mathematical Linguistics, Automata Theory, Cognitive Science, Theories of Qualitative Behaviour, Artificial Intelligence, Computational Intelligence, Soft Computing, Semiotics, Computational Biology and Bio-informatics.

Implementations and Information Technology:
Intelligent Systems, Genetic Algorithms and Modelling, Fuzzy Logic and Approximate Reasoning, Artificial Neural Networks, Expert and Decision Support Systems, Learning and Evolutionary Computing, Expert and Decision Support Systems, Learning and Evolutionary Computing, Biometrics, Moleculoid Nanocomputing, Self-adaptation and Self-organisational Systems, Data Engineering, Data Fusion, Information and Knowledge, Adaptive ad Supervisory Control, Discrete Event Systems, Symbolic / Numeric and Statistical Techniques, Perceptions and Pattern Recognition, Design of Algorithms, Software Design, Computer Systems and Architecture Evaluations and Tools, Human-Computer Interface, Computer Communication Networks and Modelling and Computing with Words

Applications:
Manufacturing, Automation and Mobile Robots, Virtual Reality, Image Processing and Computer Vision Systems, Photonics Networks, Genomics and Bioinformatics, Brain Mapping, Language and Search Engine Design, User-friendly Man Machine Interface, Data Compression and Text Abstraction and Summarization, Virtual Reality, Finance and Economics Modelling and Optimisation
Last updated by Dou Sun in 2019-11-24
Special Issues
Special Issue on Recent Advances in Security and Privacy-Preserving Techniques of Distributed Networked Systems
Submission Date: 2020-05-01

Distributed networked systems (DNSs) have found widespread applications in modern critical infrastructure, such as smart grids, gas and water supply distribution systems, intelligent transportation systems and so on. Nevertheless, analysis and synthesis of DNSs are generally difficult and traditional information processing technologies may fail or be impractical to tackle several security and privacy related issues of DNSs due to their large scale, increased interconnectivity, real-time and sensitive information exchange, intimate interaction of cyber and physical components, open and unprotected network connection and communication. For example, because of the tight interplay between cyber and physical spaces, the negative impacts of malicious attacks on DNSs can be imposed on not only the cyber space but also the physical systems. A sophisticated adversary can learn sensitive local information or local operation status of spatially deployed nodes/agents in the physical space by eavesdropping transmitted and exchanged data packets over certain wireless transmission links. As a result, there is an urgent need for innovative secure and privacy-preserving techniques to adequately explore the independence and interaction of physical and communication infrastructure of DNSs such that performance analysis and control design of DNSs can be achieved with unprecedented performance and resource utilization efficiency, high reliability and resilience, desired security and privacy requirements, overcoming the limitations of traditional information processing tools. This Special Issue aims to advance security and privacy technologies and methodologies in large-scale DNSs and further promote research activities in distributed intelligent sensing, estimation, detection, optimization and control for preserving desired security and privacy requirements. The Special Issue seeks original theory- and application-driven studies to address some emerging issues and challenges from the perspective of distributed secure and privacy-preserving information processing and their applications to areas, such as wireless robotics, wireless sensor networks, smart grids, energy internet, intelligent transportation systems and so on. TOPICS OF INTEREST Topics of interest include but not limited to: Distributed attack detection, identification and isolation Event-triggered techniques for secure estimation and control Adaptive and learning techniques for secure estimation and control Secure and privacy-preserving distributed information acquisition, fusion and estimation in wireless sensor networks Secure and privacy-preserving distributed cooperative control of multi-agent systems Applications of security and privacy-preserving techniques in wireless robotics, wireless sensor networks, smart grids, energy internet, intelligent transportation systems and so on
Last updated by Dou Sun in 2019-11-24
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