Academic Journal
Q1IEEE Transactions on Information Forensics and Security
About IEEE Transactions on Information Forensics and Security
IEEE Transactions on Information Forensics and Security is a scholarly journal published by Institute of Electrical and Electronics Engineers Inc.. SCImago 2025 places it in Q1 with an SJR of 2.193 and an H-index of 195.
Its listed coverage is 2006-2026 and its research categories include Computer Networks and Communications (Q1); Safety, Risk, Reliability and Quality (Q1). The 2025 dataset reports 930 documents and 14505 citations across the latest three-year reporting window.
The IEEE Transactions on Information Forensics and Security (TIFS) is one of the most prestigious peer-reviewed journals published by the Institute of Electrical and Electronics Engineers (IEEE). With a strong focus on the theory, techniques, and applications of information forensics, data protection, and cybersecurity, this journal has become a vital resource for researchers, academicians, and professionals in the fields of information security, digital forensics, and privacy protection.
What is IEEE Transactions on Information Forensics and Security?
Launched in 2006, IEEE TIFS is a monthly publication under the IEEE Signal Processing Society. It features high-quality research articles that address critical aspects of information security, including but not limited to:
Cryptography and Cryptanalysis
Multimedia Security and Digital Watermarking
Biometric Security Systems
Privacy-Enhancing Technologies
Network and System Security
Blockchain and Secure Data Sharing
Forensic Analysis of Digital Media
Each issue of the journal includes original research papers, review articles, and technical notes that contribute significantly to the advancement of secure communication and trustworthy information systems.
Why is IEEE TIFS Important?
In today’s digital era, information security is more critical than ever. With cyber threats growing in sophistication and scale, the need for innovative research and technological solutions is urgent. IEEE TIFS provides a platform for cutting-edge studies and breakthroughs in this rapidly evolving field. The journal has a high impact factor, which reflects its influence and credibility in both academic and industry circles.
The journal is indexed in major databases like Scopus, Web of Science, and IEEE Xplore, making it highly discoverable and accessible to a global audience. Researchers who publish in IEEE TIFS receive broad visibility and are often cited by scholars and cybersecurity professionals worldwide.
Key Features and Benefits
Rigorous Peer Review: All submissions go through a comprehensive peer-review process, ensuring the highest standard of quality and originality.
High Impact Factor: IEEE TIFS consistently ranks among the top journals in computer science and cybersecurity categories.
Wide Reach: Articles are accessible through IEEE Xplore Digital Library, reaching thousands of researchers and institutions globally.
Monthly Publication: Regular publication keeps the community up-to-date with the latest advancements and discoveries in the field.
How to Publish in IEEE TIFS
Authors looking to publish in IEEE Transactions on Information Forensics and Security should ensure their research aligns with the journal’s scope and demonstrates a novel contribution. Manuscripts must be prepared following the IEEE guidelines and are submitted through the IEEE Author Center. Due to the journal’s competitive nature, high-quality writing, strong methodology, and significant innovation are crucial for acceptance.
Source-backed journal facts
Topics in published research
Cryptography and Data Security; Privacy-Preserving Technologies in Data; Advanced Malware Detection Techniques; Digital Media Forensic Detection; Network Security and Intrusion Detection; Biometric Identification and Security.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Reported open-access list prices
2,645.00 USD
APC list prices reported by OpenAlex, which obtains this information from DOAJ. Confirm current charges, taxes, waivers and eligibility with the publisher; this is not a fee quotation.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The IEEE Transactions on Information Forensics and Security (TIFS) is a premier journal that publishes cutting-edge research in the areas of information forensics and security. The journal primarily focuses on interdisciplinary studies that merge various fields such as computer science, information technology, cybersecurity, signal processing, and applied mathematics. TIFS is dedicated to advancing the theory, development, and practical applications of information forensics and security, making it a leading resource for academics, practitioners, and researchers in these fields.
Key Topics in Information Forensics and Security
IEEE TIFS covers a wide range of topics within the realm of information forensics and security. Some of the key areas of focus include:
Cryptography: This includes techniques and protocols for securing information, ensuring confidentiality, and providing data integrity. Cryptography is central to modern security systems and is continually evolving to combat emerging threats.
Biometrics: Research in biometrics is an integral part of information forensics. Studies in this area focus on the development of technologies for identification and authentication based on unique biological traits like fingerprints, face recognition, iris scans, and voice patterns.
Digital Forensics: Digital forensics involves the recovery, investigation, and analysis of digital evidence from various sources such as computers, mobile devices, and networks. This field plays a crucial role in combating cybercrimes and ensuring proper legal procedures.
Network Security: As the internet continues to grow, ensuring the security of data transmitted over networks has become more critical than ever. IEEE TIFS publishes studies on encryption, intrusion detection systems, and protocols designed to safeguard networks from cyber-attacks and unauthorized access.
Steganography and Watermarking: These techniques are used to embed hidden data within digital media, such as images, audio, or video files. Steganography and watermarking play an essential role in protecting intellectual property and ensuring privacy.
Privacy and Anonymity: Research on methods to preserve individual privacy and protect anonymity in digital environments is vital as threats to personal data become more pervasive. IEEE TIFS publishes papers on the development of privacy-preserving algorithms and technologies.
Security Protocols and Systems: IEEE TIFS covers the design, analysis, and implementation of secure communication protocols and systems. This includes work on security architectures, intrusion prevention systems, and secure software development techniques.
Attack and Defense Mechanisms: Understanding how cyber-attacks are carried out, and developing effective defense mechanisms, is an ongoing area of research. The journal highlights work on attack detection, mitigation techniques, and system vulnerabilities.
Research Contributions in Information Forensics and Security
IEEE TIFS provides a platform for researchers to present their work on innovative solutions to complex security challenges. The journal encourages the submission of both theoretical and practical contributions, as well as interdisciplinary research that combines information forensics with machine learning, artificial intelligence, and big data analytics.
In addition to original research papers, the journal publishes tutorials, survey articles, and technical notes that provide comprehensive insights into emerging topics and methodologies. This variety of content ensures that TIFS remains a vital resource for both novice and seasoned researchers in the field.
Recent Research Articles
Latest publications matched automatically by ISSN.
A Secure and Efficient Image Sharing Method Based on Bilateral Compressive Sensing With Multilevel Privacy Preserving Function
Wei Wu, Chuxiao Xu, Dawei Zhao, Haipeng Peng et al.
2026 · DOI: 10.1109/tifs.2026.3692298Robust Specific Emitter Identification Across Modulation Domains via Domain-Invariant Variational Autoencoding
Feng Shi, Xixi Zhang, Tiantian Tang, Yu Wang et al.
2026 · DOI: 10.1109/tifs.2026.3705305FedNSA: Boosting Secure Aggregation by Assembling Differentially Private Noise Shares
Shiting Wen, Hongxiao Lai, Yipeng Zhou, Yichu Wu et al.
2026 · DOI: 10.1109/tifs.2026.3683255Network-Layer Differential Fuzzing for Ethereum
Fudong Wu, Qianhong Wu, Jia-Ju Bai, Bo Qin et al.
2026 · DOI: 10.1109/tifs.2025.3648565Robust Malicious Network Traffic Detection Framework With Automated Drift Detection, Identification, and Adaptation
Xueying Han, Jian Qin, Changzhi Zhao, Weike Fang et al.
2026 · DOI: 10.1109/tifs.2026.3694664Multi-Agent Energy Trading With Privacy Heterogeneity: A Denoise Dynamic Differential Privacy Multi-Agent Reinforcement Learning Method
Donghe Li, Liangru Chen, Meng Zhao, Wenzhuo Li et al.
2026 · DOI: 10.1109/tifs.2026.3714279FlyCred: Contractual Anonymous Credentials Based on Oracles and Events
Rui Shi, Yang Yang, Huamin Feng, Yingjiu Li et al.
2026 · DOI: 10.1109/tifs.2026.3676668Heimdall: A Decentralized Access Control Scheme With Time-Based Secret Management and Private Access Policies
Libin Xia, Yue Li, Jiashuo Zhang, Jianbo Gao et al.
2026 · DOI: 10.1109/tifs.2025.3628480DisT-FL: Enhancing Security for TEE-Based Aggregation in Federated Learning
Guanlong Wu, Ju Yang, Zhen Huang, Jianyu Niu et al.
2026 · DOI: 10.1109/tifs.2026.3715108UFO s : An Ultra-Fast Toolkit for Multiparty Computation on Small Elements
Jiacheng Gao, Moyang Xie, Yuan Zhang, Sheng Zhong et al.
2026 · DOI: 10.1109/tifs.2026.3734714Unveiling the Backdoor’s Suppression Effect for Backdoor Defence
Hong Zhu, Kai Chen, Shengzhi Zhang
2026 · DOI: 10.1109/tifs.2026.3734720Advanced Cross-Attack Backdoor Detector Based on Disturbance Immunity Learned From Classic Backdoor Attacks
Zhixiao Wu, Yao Lu, Yuanrong Xu, Beibei Mao et al.
2026 · DOI: 10.1109/tifs.2026.3734732When Multimedia Meets Security: Privacy-Preserving Cross-Modal Retrieval for Large-Scale Data
Weikai Huang, Xiangyu Wang, Dan Zhu, Xindi Ma et al.
2026 · DOI: 10.1109/tifs.2025.3645606Boosting Adversarial Transferability With Low-Cost Optimization via Maximin Expected Flatness
Chunlin Qiu, Ang Li, Yiheng Duan, Shenyi Zhang et al.
2026 · DOI: 10.1109/tifs.2026.3658188Rethinking Frequency Modeling: Tail-Aware Dynamic Adversarial Training for Long-Tailed Robustness
Chengze Jiang, Minjing Dong, Zhuangzhuang Wang, Jie Gui et al.
2026 · DOI: 10.1109/tifs.2026.3679189HIBPEKS: Hierarchical Identity-Based Puncturable Encryption With Keyword Search Over Outsourced Encrypted Data
Zelin Zhang, Jiangfeng Li, Guoyue Xiong, Xiaoping Wang et al.
2026 · DOI: 10.1109/tifs.2026.3671053Cryptanalysis of the DIZY Stream Cipher With Provable Security
Zhengting Li, Lin Ding, Xinhai Wang, Zheng Wu et al.
2026 · DOI: 10.1109/tifs.2026.3696204Downlink Control Information Sniffing-Based Smart Jamming and Its Suppression Strategy in 5G NR
Shao-Di Wang, Chang-Long Wang, Hui-Ming Wang, Feng Zhou et al.
2026 · DOI: 10.1109/tifs.2026.3683183Efficient Malicious Multiparty Private Set Intersection Supporting Cardinality, Sharing, and Batching
Xiyuan Han, Jun Zhou, Zhenfu Cao, Xiaolei Dong et al.
2026 · DOI: 10.1109/tifs.2026.3671114Polar Coding for the Multiple Access Wiretap Channel With Partial Rate-Limited Feedback via Rate-Splitting
Xingyu Chen, Huici Wu, Xiaofeng Tao, Jin Xu et al.
2026 · DOI: 10.1109/tifs.2026.3687750Reviews
Community Reviews
Version History
October 4, 2026 at 8:35 pm
April 23, 2025