ArticleCODASPY : proceedings of the ... ACM conference on data and application security and privacy. ACM Conference on Data and Application Security & Privacy2011
Detection of Anomalous Insiders in Collaborative Environments via Relational Analysis of Access Logs.
Article in CODASPY : proceedings of the ... ACM conference on data and application security and privacy. ACM Conference on Data and Application Security & Privacy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Using electronic health record audit logs to study clinical activity: a systematic review of aims, measures, and methods.Journal of the American Medical Informatics Association : JAMIA · 2020Pooled it
- Using automated methods to detect safety problems with health information technology: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Artificial Intelligence-Based Framework for Analyzing Health Care Staff Security Practice: Mapping Review and Simulation Study.JMIR medical informatics · 2021Review
- Predicting next-day discharge via electronic health record access logs.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- We work with them? Healthcare workers interpretation of organizational relations mined from electronic health records.International journal of medical informatics · 2014Article
- Detecting Inappropriate Access to Electronic Health Records Using Collaborative Filtering.Machine learning · 2014Article
- Explaining accesses to electronic medical records using diagnosis information.Journal of the American Medical Informatics Association : JAMIA · 2013Article
- Detecting Anomalous Insiders in Collaborative Information Systems.IEEE transactions on dependable and secure computing · 2012Article
- Specializing network analysis to detect anomalous insider actions.Security informatics · 2012Article
- Auditing medical records accesses via healthcare interaction networks.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
- Leveraging Social Networks to Detect Anomalous Insider Actions in Collaborative Environments.ISI ... : ... IEEE Intelligence and Security Informatics. IEEE International Conference on Intelligence and Security Informatics · 2011Article
- Context-Aware Anomaly Detection for Electronic Medical Record Systems.HealthSec ... : ... USENIX workshop on health security and privacy. USENIX Workshop on Health Security and Privacy · 2011Article
- Experience-Based Access Management: A Life-Cycle Framework for Identity and Access Management Systems.IEEE security & privacy · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Collaborative information systems (CIS) are deployed within a diverse array of environments, ranging from the Internet to intelligence agencies to healthcare. It is increasingly the case that such systems are applied to manage sensitive information, making them targets for malicious insiders. While sophisticated security mechanisms have been developed to detect insider threats in various file systems, they are neither designed to model nor to monitor collaborative environments in which users function in dynamic teams with complex behavior. In this paper, we introduce a
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.