Journal Information
IEEE Transactions on Sustainable Computing (TSUSC)
Impact Factor:
Call For Papers
The IEEE Transactions on Sustainable Computing (T-SUSC) is a peer-reviewed journal devoted to publishing high-quality papers that explore the different aspects of sustainable computing, over a wide range of problem domains and technologies from software and hardware designs to applications. Sustainability includes energy efficiency, natural resources preservation, and use of multiple energy sources as needed in computing devices and infrastructure.

Solutions for these problems call upon a wide range of algorithmic and computational frameworks, such as optimization, machine learning, decision support systems, meta-heuristics, and game-theory. Contributions to T-SUSC must address sustainability problems in computing and information processing environments and technologies, and at different levels of the computational process.
Last updated by Dou Sun in 2020-05-07
Special Issues
Special Issue on Sustainable Defense and Security Systems
Submission Date: 2022-12-15

As the world is getting more and more connected, cyber-attacks are becoming more sophisticated. Research in cyber security lies at the center of the prosperity of any nation. To address security threats to network infrastructure devices and sensitive data, many different solutions capable of providing a suitable degree of security capability have been proposed. However, such solutions have not been properly designed to address an important aspect, sustainability. In this context, sustainability refers to the ability to maintain or support a process continuously over time by improving computational requirements, scalability, energy efficiency and resource usage of defense and security systems. This special issue thus aims to explore recent advances in model development, new techniques and/or novel observations for improving cyber security with particular focus on secure systems’ sustainability. We also seek contributions motivated by taking real-world cyber security problems and theoretical works that have clear intention for practical applications in sustainable defense and security systems. Topics of interest include (but are not limited to): - Sustainability in AI-based security solutions - Optimised, data-driven security solutions - Forecasting cyber events with limited data - Model sustainability enhancement (such as feature engineering, data manipulation, neural network design and multimodal learning) - LLML-based security solutions - Energy-efficient security monitoring, tracking and detection/prevention systems (e.g., running fewer CPU/GPU cycles, reduces memory usage, and consumes less energy leading to run on a smaller computing device) - Energy aware programming security systems, algorithms and applications - Optimised, big data applications in cyber security and threat intelligence - Energy efficient scheduling and resource management for security systems - Efficient information sharing and data protection - Energy efficient models of large-scale security applications - Lightweight cryptographic protocols for IoT security and privacy - Lightweight security tools for IoT devices - State-of-the-art reviews on sustainable information security - Energy aware HPC applications for security - Sustainable cyber security in IoT, smart grids, and modern networks - Power aware applications for cyber security and threat intelligence - Sustainability issues in blockchain technologies - Sustainability in autonomous vehicle security solutions - Sustainability issues and opportunities in cyber security and threat intelligence Guest Editors: - Dr. Paul Yoo, Deputy Director of Birkbeck Institute for Data Analytics, Chair for Threat Intelligence Lab, Birkbeck College, University of London, United Kingdom. - Prof. Zahir Tari, Research Director, Centre for Cyber Security Research and Innovation, School of Computing Technologies, RMIT University, Melbourne, Australia.
Last updated by Dou Sun in 2022-10-22
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