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IEEE Transactions on Information Forensics and Security

IEEE Transactions on Information Forensics and Security (TIFS) is a peer-reviewed academic journal published by the Institute of Electrical and Electronics Engineers (IEEE) covering information security, digital forensics, biometrics, cryptography, and multimedia surveillance architectures.

ByCASRAI Editorial Board
· Last updated 8 Nov 2026
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Editorial commentary

Quick answer: IEEE Transactions on Information Forensics and Security (TIFS; print ISSN 1556-6013, online ISSN 1556-6021) is a monthly peer-reviewed journal published by the Institute of Electrical and Electronics Engineers (IEEE) under the IEEE Signal Processing Society. According to verified open bibliometric records from OpenAlex, the journal holds a 2-year mean citedness of 9.32 across recent citation windows, with 7,005 published works, 281,154 total citations, and an h-index of 211. Evaluation of published papers must adhere to responsible research assessment frameworks that avoid using journal-level metrics as proxies for article quality.

Journal Overview and Editorial Scope

IEEE Transactions on Information Forensics and Security is an international venue dedicated to the science and applications of information security, forensics, biometrics, and trustworthy computing systems. Within the broader scope of what is cybersecurity, TIFS publishes foundational theoretical contributions, threat modeling algorithms, and empirical security evaluations.

Key technical areas covered by the journal include:

  • Digital Media Forensics: Image, audio, and video tampering detection, deepfake identification, watermarking, and steganography.
  • Biometrics and Identity Authentication: Facial, fingerprint, iris, and behavioral recognition systems, biometric template protection, and presentation attack detection.
  • Cryptographic Architectures and Protocols: Hardware security primitives, physical unclonable functions (PUFs), side-channel attack countermeasures, and applied cryptographic protocols.
  • Network and Systems Security: Intrusion detection systems, malware analysis, secure distributed computation, and security compliance architectures relevant to institutional computing standards like CMMC compliance for research institutions.

Bibliometric Profile and Citation Metrics

Bibliometric indicators provide macro-level visibility into a journal’s citation velocity and publication volume. The metrics summarized below reflect verified records retrieved from the OpenAlex open scholarly graph and Crossref:

Bibliometric Metric Verified Value Source Repository
Print ISSN 1556-6013 Crossref / OpenAlex
Online ISSN 1556-6021 Crossref / OpenAlex
Total Registered DOIs 6,863 Crossref
Total Indexed Works 7,005 OpenAlex
Total Citations Received 281,154 OpenAlex
2-Year Mean Citedness 9.32 OpenAlex
Journal h-index 211 OpenAlex
Journal i10-index 3,954 OpenAlex

Calculation of Journal Citation Metrics

Understanding how journal impact figures are derived prevents misinterpretation during departmental reviews and hiring committees. The classic Journal Impact Factor (JIF) proprietary metric produced by Clarivate Analytics via Web of Science, as well as the open 2-year mean citedness calculated by OpenAlex, follow a standardized formula:

$$text{Metric}_{Y} = frac{text{Citations in Year } Y text{ to items published in years } (Y-1) text{ and } (Y-2)}{text{Number of citable items published in years } (Y-1) text{ and } (Y-2)}$$

As detailed in the comprehensive analysis of how the journal impact factor is calculated, citable items consist primarily of original research articles and review papers, whereas editorial material, errata, and society letters are excluded from the denominator. While Clarivate JCR figures require institutional subscription licensing, open metrics from OpenAlex offer reproducible, transparent equivalents (similar to metric benchmarks recorded for titles like scientific reports impact factor).

Responsible Research Assessment and Evaluation Guidance

Institutional evaluators, promotion committees, and grant funding agencies must exercise caution when utilizing journal-level metrics to assess researchers. Research evaluation bodies emphasize several principles:

  • Adherence to DORA: The San Francisco Declaration on Research Assessment (DORA) explicitly recommends that funding agencies and universities eliminate the use of journal-based metrics—such as Journal Impact Factors—in funding, appointment, and promotion considerations.
  • Citation Skewness: Across all scientific disciplines, citation distributions are highly skewed; a small fraction of highly cited landmark papers generates the majority of a journal’s aggregate citations. A paper published in a high-impact venue is not guaranteed to achieve high individual impact.
  • Field Normalization: Raw citation counts and journal citedness vary widely between computational sub-disciplines. Hardware security and applied cryptography publications exhibit different citation tempos than general signal processing or software engineering. Field-normalized metrics or qualitative peer review should always take precedence over venue metrics.

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