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  1. Proceedings of the 5th ACM workshop on Digital identity management (DIM '09)
  2. Using identity credential usage logs to detect anomalous service accesses
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"Identity & context for a changing world"
Mnikr: reputation construction through human trading of distributed social identities
Privacy-aware identity management for client-side mashup applications
Modelling the impact of virtual identities on communication infrastructures
IC card-based single sign-on system that remains secure under card analysis
Improving the safety and practicality of authorization technology using LOAF
A design of usable and secure access-control APIs for mashup applications
Federation proxy for cross domain identity federation
Using identity credential usage logs to detect anomalous service accesses
Is that really you?: an approach to assure identity without revealing real-name online
User-centric identity governance across domain boundaries
An advanced policy based authorisation infrastructure

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Using identity credential usage logs to detect anomalous service accesses

Content Provider ACM Digital Library
Author Ahamad, Mustaque Mashima, Daisuke
Abstract For e-commerce companies providing online services, fraudulent access resulting from theft of identity credentials is a serious concern. Such online service providers deploy a variety of defenses and invest significant time and effort to the analysis of a large amount of log data to detect malicious activities and their impact. To reduce this burden, we explore the effectiveness of an anomaly detection based approach that relies on identity credential usage log records. More specifically, we use an anomaly-based metric to score the risk of each identity credential usage, e.g., a login request. Scores are determined based on categorical attribute values extracted from log records, such as timestamps. We utilize actual log data of login attempts to a university portal to evaluate the effectiveness of this approach. Our approach can work in conjunction with intrusion or fraud detection systems. It is also possible that stronger authentication can be required only when the risk score is high, which can help balance security and usability demands.
Starting Page 73
Ending Page 80
Page Count 8
File Format PDF
ISBN 9781605587868
DOI 10.1145/1655028.1655044
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-11-13
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Identity theft and misuse detection Online access log monitoring Risk scoring
Content Type Text
Resource Type Article
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