IEEE Transactions on Information Forensics and Security

About IEEE Transactions on Information Forensics and Security

IEEE Transactions on Information Forensics and Security: Journal Profile

The IEEE Transactions on Information Forensics and Security (TIFS) is a monthly scholarly journal published within the IEEE, the Institute of Electrical and Electronics Engineers, and sponsored by the IEEE Signal Processing Society together with several co-sponsoring IEEE societies. Its print ISSN is 1556-6013 and its electronic ISSN is 1556-6021. The journal's own scope statement, published by the IEEE Signal Processing Society, says that TIFS covers the sciences, technologies and applications relating to information forensics, information security, biometrics, surveillance, and systems applications that incorporate these features. Launched with an inaugural issue in March 2006, it has become one of the defining venues for research on how digital information is protected, authenticated, hidden, attacked and forensically examined.

The JournalsWorld record for this post, matched by ISSN, places the journal in the first quartile (Q1) in two SCImago categories — Computer Networks and Communications, and Safety, Risk, Reliability and Quality — with an SJR of 2.193 and an h-index of 195 in the SCImago 2025 dataset, and lists coverage from 2006 to the present. Those figures are attributed here to SCImago via the saved record; other databases count this journal differently, and the metrics section below keeps each source's numbers separate.

At a Glance

Sponsorship and Place Within the IEEE

TIFS is published by the IEEE Signal Processing Society. The society's journal page lists its technical co-sponsors: the IEEE Communications Society, the IEEE Computational Intelligence Society, the IEEE Computer Society, the IEEE Engineering in Medicine and Biology Society, and the IEEE Information Theory Society. That co-sponsorship is not a formality; it maps closely onto the journal's content. Signal processing contributes the mathematics of watermarking, fingerprinting and media analysis; communications contributes network and transmission security; computational intelligence contributes machine-learning methods for detection and biometrics; computer science contributes systems and software security; engineering in medicine and biology reflects biometric and health-data applications; and information theory contributes the formal foundations of secrecy, authentication and adversarial models. Few security journals are anchored in so many constituent communities at once, and the breadth explains why the journal can publish a steganography paper, a cryptographic protocol analysis and a surveillance-systems paper in the same volume without any of them looking out of place.

Within the IEEE Transactions family, TIFS occupies the dedicated security-and-forensics slot for the signal and information processing communities. Authors choosing between IEEE venues typically weigh it against generalist Transactions in signal processing, communications or information theory, and against the IEEE's computer-security titles. The deciding question is the paper's centre of gravity: work whose contribution is a forensic or security method, attack, defence or system — especially where signals, media, biometrics or networks are involved — is the natural TIFS submission.

Scope in Detail

The one-sentence scope statement repays unpacking, because each of its five named areas corresponds to a substantial research community.

Information forensics concerns the analysis of digital content and systems to establish origin, integrity and history: detecting manipulated images, audio and video; identifying the source device or camera that produced a recording; detecting recaptured, synthesised or otherwise altered media; and extracting or exposing hidden or embedded information. The rise of generative media has made this the journal's most visibly growing area, because forensic detectors and synthetic-media generators now develop in direct competition.

Information security covers the protection side: cryptographic constructions and their analysis, authentication protocols, access control, privacy-preserving computation, secure multiparty and outsourced computation, hardware and side-channel security, and the security of networks and distributed systems. Papers in this area are expected to state their threat model precisely and to evaluate against it, a standard the journal's reviewers enforce.

Biometrics spans recognition based on fingerprints, face, iris, voice and behavioural traits, together with the field's distinctive security problems: template protection, presentation-attack (spoofing) detection, and the privacy consequences of storing biometric data. Surveillance covers sensing and analysis systems for monitoring people, vehicles and environments, including the algorithms that detect events and track objects, and systems papers that integrate sensing with the forensic and security features above. Finally, the scope explicitly welcomes systems applications that incorporate these features — complete, evaluated systems rather than isolated algorithms — which distinguishes the journal from purely theoretical venues.

OpenAlex, checked directly for this profile, maps the journal's topics as cryptography and data security; digital media forensic detection; privacy-preserving technologies; biometric identification and security; and adversarial robustness in machine learning. That independent topic map agrees closely with the publisher's scope statement, which is a good consistency check, and it also shows where the field has moved: adversarial robustness — attacks on, and defences of, machine-learning models — now sits alongside the classical forensic topics that defined the journal in 2006.

History and Publication Pattern

The journal's inaugural issue appeared in March 2006, and it has published continuously since, at a frequency of twelve issues per year. Two decades of monthly publication have built a deep archive: OpenAlex counts 6,934 works for the title, checked directly for this profile. The SCImago record carried on this JournalsWorld page reports 930 documents and 14,505 citations across the latest three-year reporting window in the 2025 dataset — a document volume that reflects the journal's monthly cadence and its position as a high-throughput venue for its field.

The field itself has changed markedly across the journal's life, and the archive shows it. Early volumes were dominated by watermarking, steganography and steganalysis, classical cryptography and network security. The 2010s brought biometrics at scale, multimedia forensics for an era of ubiquitous phone cameras, and privacy-preserving data analysis. The most recent period is defined by machine learning on both sides of the contest: deepfake generation and detection, adversarial examples, model theft and extraction, and the security of learning systems themselves. A journal profile cannot substitute for reading the archive, but authors proposing work should understand that TIFS evaluates novelty against this full history — a technique that was new in a watermarking paper in 2008 may be assumed knowledge in a submission today.

Editorial Process, Reproducibility and Multimedia

Submissions are made through the IEEE Author Portal, linked from the Signal Processing Society's journal page, and manuscripts are handled under the IEEE's standard peer-review arrangements for Transactions, with associate editors managing expert review in the paper's subfield. Reference sources for the journal name Luisa Verdoliva, a researcher known for work in multimedia forensics, as editor-in-chief; editorial appointments at IEEE journals change on fixed terms, so authors should confirm the current editor-in-chief on the journal's own pages at submission time rather than relying on any secondary listing, including this profile.

Two editorial policies deserve particular attention because they affect how a TIFS paper should be written. First, reproducible research: the Signal Processing Society states that the Transactions encourages authors to make their publications reproducible by publishing, online, all information needed to reproduce the presented results — typically the code and data used to produce the paper's figures and tables — and notes that the editorial board has drafted specific instructions about the information to be provided to allow reproducibility in papers presenting deep learning techniques. In a field where a detection method is only as good as its evaluation, reviewers can and do test whether datasets, parameters and attack settings are specified completely enough to replicate the results. Authors should plan the artefact release alongside the manuscript, not after acceptance.

Second, multimedia content: it is possible to submit for review, and publish in IEEE Xplore, supporting multimedia material such as speech samples, images, movies and MATLAB code, and a multimedia graphical abstract can be displayed alongside the traditional text. For forensic work this is more than a cosmetic option — an audio-forensics paper whose examples can be heard, or an image-forensics paper whose test images are inspectable, is materially easier for readers to evaluate and reuse.

Access Model and Charges

TIFS is a subscription journal published on the IEEE Xplore platform; it is not a fully open access title. OpenAlex records the title as not open access, and direct searches of the DOAJ search API for both the print and electronic ISSNs, performed for this profile, returned no listing — the expected result for a subscription Transactions title, and reported here as a checked fact rather than an assumption. IEEE does operate open access options for authors at its journals, including under institutional agreements, but the specific article processing charge applicable to an open access election in this journal is not published in the sources checked for this profile and is therefore stated as not publicly disclosed here; authors should confirm the current charge in the IEEE author tools at submission, because publishing an invented figure would mislead exactly the readers this profile serves. Page charges and overlength charges, where IEEE applies them, are likewise set out in the IEEE author documentation rather than in this profile.

For readers, access is normally through an institutional IEEE Xplore subscription; individual articles are also sold through Xplore, and authors commonly share accepted manuscripts through their institutional repositories in line with IEEE policy. The journal's citation counts show that the subscription model has not limited its influence within its field, where institutional Xplore access is widespread.

Metrics and Standing — Read With Attribution

The SCImago 2025 figures in the JournalsWorld record are SJR 2.193 and h-index 195, with Q1 placement in both Computer Networks and Communications and Safety, Risk, Reliability and Quality. An h-index of 195 places the journal among the most cumulatively cited titles in its area, reflecting twenty years of heavily used forensic and security papers.

Journal-metrics aggregators reporting the June 2026 Journal Citation Reports release give the journal an impact factor of 8.7; a separate aggregator series reports 9.710 for 2025. Those two values do not agree, and this profile does not choose between them: Journal Citation Reports figures should be taken from Clarivate's own release or from the IEEE's journal pages when a precise value is required, and any secondary figure should be cited with its source and year. What is consistent across every source checked is the journal's quartile position and its standing as a leading venue — aggregator percentile summaries place its impact factor above roughly 94–97 percent of journals overall and within computer science, and its h-index in a similar top band.

OpenAlex, checked directly, counts 6,934 works and 270,039 citations, an OpenAlex h-index of 209, an i10-index of 3,826, and a two-year mean citedness of about 7.92. The OpenAlex h-index exceeds the Scopus-based SCImago figure because the underlying citation universes differ. Scopus CiteScore is reported by aggregators as 12 for the latest release in the sources checked; as with the impact factor, Scopus itself is the authoritative source for that number. The lesson for evaluators is the same as for every journal in this batch: state the database, the release and the year next to any metric, and never average or merge figures from different databases.

Indexing and Discoverability

The journal is covered by Scopus — independently consistent with the SCImago record on this page — and reference sources report coverage in the Science Citation Index within Web of Science, which is the basis for its Journal Citation Reports impact factor. Its content is delivered and indexed through IEEE Xplore, the platform through which most of its readership reaches it, and OpenAlex and Google Scholar both index the title comprehensively. The direct DOAJ checks described above returned no listing, as expected for a subscription title; no claim of DOAJ indexing is made for this journal.

Who Should Read It, and Who Should Submit

The readership is researchers and advanced practitioners in information security, signal processing, computer science and electrical engineering, together with forensic specialists in industry and government laboratories. Practitioners read TIFS selectively — a digital-forensics team will follow the media-forensics papers, a security engineering team the protocol and systems papers — while researchers in any of its five scope areas treat it as a core journal to monitor monthly.

For authors, a competitive TIFS submission has three properties. It states a precise threat or forensic model: who the adversary is, what they can and cannot do, and what success means for each side. It evaluates against strong, current baselines and, where the claim is empirical, on data that other researchers can obtain, in line with the journal's reproducibility encouragement. And it is honest about limitations — operating points, failure cases, computational cost — because this journal's reviewers are themselves active researchers in adversarial settings and will probe exactly those points. Work that is incremental over the journal's own archive, evaluated only against weak baselines, or presented without the artefacts needed to reproduce it faces an uphill review. Survey and tutorial-style contributions appear in the field's ecosystem, but the Transactions' centre of gravity is original, technically deep research articles, including the systems applications its scope explicitly welcomes.

Length and format follow IEEE Transactions conventions, and submissions go through the IEEE Author Portal linked from the Signal Processing Society page. Authors should also plan the multimedia and code/data supplements at submission time, since the society's reproducibility guidance treats them as part of the scholarly record rather than an optional extra.

Reading the Journal Critically

Because TIFS publishes adversarial research, its papers reward a particular reading discipline that this profile recommends to newcomers. First, identify the threat model before the results: a forensic detector evaluated only against attackers who do not know the detector exists answers a different question from one evaluated against an informed adversary, and the journal's stronger papers say explicitly which game they are playing. Second, check the data: whether the evaluation used public datasets or corpora that other groups can obtain determines whether the result can be built on at all, which is why the society's reproducibility encouragement matters scientifically and not just procedurally. Third, look for the failure analysis — in security research, the cases a method misses are usually more informative than its average accuracy, because an adversary will search for exactly those cases. Fourth, note the difference between the journal's forensic and security cultures: forensic papers are ultimately aimed at evidentiary reliability, where error rates and validation under realistic conditions are the currency, while security papers are aimed at guarantees under stated assumptions, where the proof or the attack is the currency. A paper that confuses the two — claiming evidentiary reliability from a single test-set evaluation, or claiming a guarantee from experiments alone — is weaker than it looks, and TIFS reviewers are trained to spot the confusion. Readers who apply those four checks will get more from the archive, and authors who design for them will survive review more often.

Verification Notes and Frequently Asked Questions

When did the journal start? Its inaugural issue was published in March 2006, and the JournalsWorld/SCImago record lists coverage from 2006 to the present.

Who publishes it? The Institute of Electrical and Electronics Engineers Inc.; the journal is sponsored by the IEEE Signal Processing Society with five technical co-sponsoring societies, listed in the sponsorship section above.

Is it open access? No — it is a subscription journal on IEEE Xplore. Direct DOAJ API checks for both ISSNs returned no listing, and OpenAlex records the title as not open access. Author-side open access options exist within IEEE's programmes; the applicable charge for this title could not be verified from the sources checked and is stated as not publicly disclosed in this profile.

What are its metrics? SCImago 2025 (JournalsWorld record): SJR 2.193, h-index 195, Q1 in two categories. Aggregator-reported impact factors differ (8.7 in one June 2026 JCR-based listing; 9.710 in another aggregator's 2025 series) — use Clarivate or IEEE for an authoritative value. OpenAlex: 6,934 works, 270,039 citations, h-index 209.

What does TIFS stand for, and how is the journal cited? TIFS is the common short form; the ISO 4 abbreviation is IEEE Trans. Inf. Forensics Secur.

Does it publish deep learning papers? Yes — machine-learning methods for forensics, security and biometrics, and attacks on and defences of learning systems, are now central topics; the editorial board has issued specific reproducibility instructions for deep learning papers, described in the editorial section.

Acceptance rate and median time to first decision for this journal are not published in the sources checked for this profile and are stated here as not publicly disclosed rather than estimated from third-party anecdotes.