Early-career researcher applying adversarial machine learning to DDoS detection and web browsing behavior modeling
2
papers here
2
reviewed by Evolve
0
first-author
0
corresponding
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works · OpenAlex
0
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-09-20) and cover the author's entire public record, not just the papers listed here. Reproducibility signal comes from Evolve's own reviews.
Research profile
Output—
Not yet scored: the OpenAlex snapshot reports h-index and i10-index of 0 and no aggregate work counts beyond the 2 recent items, so the output axis — total publications, venue quality, and authorship role — cannot be assessed from current data.
Impact—
Not yet scored: no citation data is available in the snapshot (h-index 0, i10-index 0, countsByYear limited to 2026), so impact — citations, uptake by other papers, and influence over time — has no measurable basis yet.
Focus0/100
The focus score of 0 reflects an evenly split profile: the field distribution assigns 0.5 to network security (adversarial machine learning) and 0.5 to web mining, user modeling, and privacy, and the five recorded topic labels each carry a single paper. With only two works in the snapshot, there is not yet a dominant research line to concentrate this axis.
Collaboration39/100
The collaboration score of 39 reflects small-team work: the snapshot records 6 distinct coauthors, and both reviewed 2026 papers were multi-authored, with Khatoun in a middle position on the DDoS detection paper and the last position on the behavioral fingerprinting paper, neither as corresponding author. Recurring collaborators include Walid Fahs, Omran Berjawi, Makram Chehayeb, Amina Rizk, and Ralph Elsaghbini, suggesting a compact working group.
Activity32/100
The activity score of 32 corresponds to a thin recent record: OpenAlex lists only 2 works in the last three years, and the yearly counts show both appearing in 2026, with no earlier years represented. This suggests an emerging publication cadence rather than an established one; the two arXiv preprints reviewed here constitute the entirety of the visible recent output.
Reproducibility38/100
Reproducibility is scored at 38, the mean readiness across the 2 reviewed papers. The picture is mixed: the GAN-based DDoS detection paper is rated low readiness, with Evolve noting ambiguous evaluation details, while the behavioral fingerprinting study earns medium readiness for transparent reporting despite untested LLM claims. Better-documented, larger-scale evaluation would be needed to lift this axis.
Research summary
Rida Khatoun is an early-stage researcher whose visible record, resolved from OpenAlex bibliographic data, splits evenly between two machine-learning application areas: network security with an adversarial machine learning focus (0.5) and web mining, user modeling, and privacy (0.5). Both papers in the Evolve catalog are 2026 arXiv preprints. The first, a GAN-based framework for robust DDoS attack detection, places Khatoun in a middle authorship position; it applies WGAN-GP augmentation and adversarial training on the CICDDoS2019 dataset, and Evolve's review credits robustness gains in synthetic evasion tests while flagging naive threat modeling and ambiguous evaluation details. The second, on behavioral fingerprinting and navigation prediction in web browsing, has Khatoun as last author and reports roughly 90% user identification from short sessions and about 80% next-domain prediction accuracy using GraphSAGE, with transparent reporting but statistically untested sub-point LLM gains. Radar dimensions place collaboration at 39, activity at 32, focus at 0, and reproducibility at 38, while output and impact are unscored: the snapshot lists h-index and i10-index of 0, two works in the last three years (both 2026), and six distinct coauthors. The overall pattern is breadth-first, small-team, preprint-stage research.
Collaboration pattern
Khatoun's visible work is co-authored in small teams: 6 distinct coauthors appear in the OpenAlex window, with Walid Fahs, Omran Berjawi, Makram Chehayeb, Amina Rizk, and Ralph Elsaghbini as recurring names. On the two reviewed papers Khatoun took a middle authorship position on the DDoS work and the last position on the browsing study, neither as corresponding author. Note that the coauthor list also carries a duplicate entry of Khatoun's own name.
Research keywords
Highlights
GAN-based augmentation for robust DDoS detection
Behavioral fingerprinting of web users with ~90% identification
Timeline
- 2026Co-authored (middle position) the arXiv preprint "A GAN-Based Framework for Robust DDoS Attack Detection", applying WGAN-GP augmentation and adversarial training on CICDDoS2019.
- 2026Co-authored (last position) the arXiv preprint "Behavioral Fingerprinting and Navigation Prediction in Web Browsing", reporting ~90% user identification and ~80% next-domain prediction accuracy.
- 2026OpenAlex snapshot records 2 works for this researcher, both dated 2026, with 6 distinct coauthors and no earlier years represented.
Papers in the Evolve catalog
Frequent co-authors
About this profile
This profile is AI-structured by Evolve.Pub from public bibliographic data (OpenAlex) and Evolve's own paper reviews. It is not written or endorsed by the researcher unless the profile is claimed. Radar dimensions are computed from real bibliometrics with fixed formulas — raw figures are shown alongside; missing dimensions mean insufficient data, never zero. Errors? Claim the profile to correct or hide it.
- Bibliometric scores are computed from an OpenAlex snapshot only; h-index and i10-index are recorded as 0, and the output and impact axes remain unscored for lack of data.
- No institution, country, or ORCID is provided; the profile is name-resolved from public bibliographic records, and the name "Rida Khatoun" may be ambiguous.
- Only 2 arXiv preprints reviewed by Evolve are in scope; no peer-reviewed venue, funding, or award information is included.
- The frequent-coauthor list contains the researcher's own name as a duplicate entry, so coauthor-level statistics may be slightly inflated.