IEEE Transactions on Information Forensics and Security : Impact Factor & More
eISSN: 1556-6021pISSN: 1556-6013
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Aims and Scope of IEEE Transactions on Information Forensics and Security
The IEEE Transactions on Information Forensics and Security is a scientific journal published by the IEEE Signal Processing Society (IEEE SPS). The journal is co-sponsored by several of the subject societies that make up the IEEE: IEEE Communications Society, IEEE Computational Intelligence Society, IEEE Computer Society, IEEE Engineering in Medicine and Biology Society and the IEEE Information Theory Society... Less
Key Metrics
CiteScore 
14.9
Impact Factor
5 - 10
SJR
Q1Computer Networks and Communications
SNIP
3.24
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Topics Covered on IEEE Transactions on Information Forensics and Security
IEEE Transactions on Information Forensics and Security Journal Specifications
| Overview | |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Language | English |
| Frequency | Monthly |
| General Details |
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Recently Published Papers in IEEE Transactions on Information Forensics and Security
Outsourced Cloud Storage and Dynamic Sharing: Efficient Time-Bound Access Control
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Are Large Vision-Language Models Robust to Adversarial Visual Transformations?
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Outsourced Cloud Storage and Dynamic Sharing: Efficient Time-Bound Access Control
- 1 Jan 2026
- IEEE Transactions on Information Forensics and Security
ModFuzz: Adaptive Module-level Fuzzing of Processors
- 1 Jan 2026
- IEEE Transactions on Information Forensics and Security
Fine-Grained Domain Alignment for Face Anti-Spoofing With Asymmetric Pseudo-Labels
- 1 Jan 2026
- IEEE Transactions on Information Forensics and Security
Secure and Efficient Model Training Framework for Multiuser Semantic Communications via Over-the-Air Mixup
- 1 Jan 2026
- IEEE Transactions on Information Forensics and Security
Dishonest Majority Passive-to-Active Compiler over Rings for MPC with Constant Online Communication
- 1 Jan 2026
- IEEE Transactions on Information Forensics and Security
Are Large Vision-Language Models Robust to Adversarial Visual Transformations?
- 1 Jan 2026
- IEEE Transactions on Information Forensics and Security
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