Website Security using GeoLocation and Behavior Patterns in Cloud Computing
Keywords:
Cloud Computing, NIST, Website Security, SAMLAbstract
The purpose of this research paper is to research the use of location and user behavior patterns in authentication and fraud detection. The research paper introduces a new approach of detecting fraud and internet attacks by using geolocation. The new approach is the result of an effort to standardize the ways an information system may use to authenticate a user and detect fraud based on geolocation. Using geolocation as an authentication mechanism poses multiple issues and challenges including that location is not a suitable authentication factor, there are privacy concerns related to tracking user location and user location information can be forged. However, location and user behavior based security is not going to be a replacement for existing authentication and fraud detection mechanisms. It is intended to augment current technologies and make security attacks more difficult and be a deterrent against internet fraudsters.
References
- Digital Resolve geolocation solution,
- http://www.digital-resolve.com/solutions/our_solutions.html
- Geolocation, Wikipedia.com, http://en.widkipeida.org/wiki/Geolocation_software
- Csrc.nist.gov/groups/SNS/cloud-computing/cloud-computing-v25.ppt
- (http://csrc.nist.gov/groups/SNS/cloud-computing/cloud-def-v15.doc)
- A Continuous Authentication System Based on User Behavior Analysis, Availability,
- Reliability and Security” International Conference on pp. 380-385.
- Transaction Processing, Wikipedia.com,
- http://webopdia.internet.com/term/t/transaction_processing.html
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