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IEEE Transactions on Dependable and Secure Computing (TDSC)

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インパクト ・ ファクター:
7.5
出版社:
IEEE
ISSN:
1545-5971
閲覧:
125952
追跡:
126

論文募集

IEEE Transactions on Dependable and Secure Computing (TDSC) is an academic journal published by IEEE. (ISSN 1545-5971, impact factor 7.5, CCF A).

Topics include, but are not limited to, the following: I. Design for Dependability and Security Architectures Fault-tolerant, secure, and safe middleware Intrusion detection and tolerance Firewall technologies; authentication and authorization of users, systems, and applications Network technologies, including protocols, routers, and switches On-line detection and recovery System Management and Administration Cryptography Application of cryptography techniques Key management Cryptographic protocols and algorithms, and their security Use of COTS components II. Evaluation Modeling and Prediction Threat-assessment and intrusion-detection models Availability, performability, and survivability Intrusion tolerance; attack models Modeling methods, including Markov chains, queuing/fluid flow, Stochastic Petri Nets (SPN), SAN models Experimental Methods Monitoring and measurement Workload characterization Benchmarking Test-bed design, including fault, error, attack, and workload generation Field monitoring and measurement, including failures, security violations and break-ins, and intrusion detection Statistical methods Formal Specification and Verification Quality of Service (encompassing performability, security, and safety) III. Application-Specific Areas Survivable Database Design and Transaction Processing Electronic Commerce Embedded Systems File and File System Security Distributed and Pervasive Systems Smartcards and Biometrics Real-Time Systems Safety-Critical Systems (e.g., aerospace computing) Internet Applications Multimedia Applications and Signal-Processing IV. Software Design Operating System Support (for error/intrusion detection and/or tolerance) Self-Checking Software Systems Dependable, Secure Protocols and Network Interfaces Software Testing, Validation, and Verification Software Aging and Rejuvenation Software Security and Reliability Engineering V. New Technologies (problems and opportunities) Nanoscale Computing Ad Hoc Networks Pervasive and Embedded Computing Networks of Satellites Data Mining Wearable Computers and Associated Networks Quantum Computing Cyber-Physical Systems (e.g., mobile health, Smart Grid, and ITS)
最終更新 Dou Sun

Special Issues

Special Issue on Trustworthy and Private Decentralized Data Circulation 提出日: 2026-06-01 Important dates Submission deadline: 1 June 2026 First Review due: 1 September 2026 Revision due: 1 November 2026 Final decision notification: 1 December 2026 Publication: To be determined Data has become a critical factor of production, yet its circulation and value realization face fundamental challenges in trustworthiness, privacy, security, and regulatory compliance. Isolated techniques like encryption or anonymization are insufficient for complex real-world scenarios involving multi-party collaborative computing, data sovereignty assurance, circulation traceability, auditing, and reliability in adversarial environments. Recent advancements in privacy computing, such as Homomorphic Encryption (HE), Secure Multi-Party Computation (SMPC), Differential Privacy (DP), Trusted Execution Environments (TEEs), and Federated Learning (FL)—combined with blockchain, offer novel paradigms and potentials for constructing next-generation trustworthy and private data circulation infrastructure. This Special Issue aims to collate cutting-edge research on the deep integration of diverse privacy computing techniques with trustworthy computing mechanisms to address end-to-end trust and privacy preservation in cross-domain, cross-institutional data element circulation. We solicit high-quality original papers focusing on theoretical innovations, system building, practical deployment, and evaluation. Topics of interest include: Trustworthy data collection for blockchain systems Privacy-preserving authentication for distributed systems Privacy-preserving data sharing among distributed users Privacy-preserving data computation between untrustworthy entities Privacy-preserving data auditing Secure and privacy-preserving data trading Secure data access control Secure and accurate data tracing Secure and efficient data governance Optimization of large-scale trustworthy and private data circulation systems Analysis of malware and cyberattacks for blockchain systems
最終更新 Dou Sun

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