TrIDS: an intelligent behavioural trust based IDS for smart healthcare system
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Szvetits and Zdun (2016) provide a systematic review of runtime models in adaptive systems, emphasizing their role in synchronizing the digital and physical components of CPS.
“Szvetits and Zdun (2016) provide a systematic review of runtime models in adaptive systems, emphasizing their role in synchronizing the digital and physical components of CPS [23].”
From Towards enhanced cybersecurity in industrial control systems: a systematic review of context-based modeling, digital twins, and machine learning approaches (2025) · cites this paper as [23]
The citation lists haven’t been fetched yet
References 66 · Cited by 20
- Authors
- Singh, A., Chatterjee, K., & Satapathy, S. C.
- Affiliations
- KIIT University (IN)
- National Institute of Technology Patna (IN)
- Corresponding author
- Singh, Ashish
- Venue
- Cluster Computing
- Published
- 2022-05-23
- Volume
- 26
- Issue
- 2
- Pages
- 903-925
- ISSN
- 1386-7857 (ISSN-L)
- 1573-7543
- OpenAlex
- W4281293626
- Cited by
- 20
- References
- 66
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 5 · 2023: 6 · 2022: 2
- FWCI
- 2.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Cluster Computing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Social Sciences › Sociology and Political Science › Access Control and Trust
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- intrusion detection systems, medical cyber-physical systems, smart healthcare, insider attacks, patient data privacy, decision rules, alert generation, network traffic monitoring, trust evaluation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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