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Thomas G. Calderon Akhilesh Chandra John J. Cheh The University of Akron

Modeling an Intelligent Continuous Authentication System to Protect Financial Information Resources. Thomas G. Calderon Akhilesh Chandra John J. Cheh The University of Akron Symposium on Information Systems Assurance Integrity, Privacy, Security & Trust in an IT Context October 20-22, 2005.

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Thomas G. Calderon Akhilesh Chandra John J. Cheh The University of Akron

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  1. Modeling an Intelligent Continuous Authentication System to Protect Financial Information Resources Thomas G. Calderon Akhilesh Chandra John J. Cheh The University of Akron Symposium on Information Systems Assurance Integrity, Privacy, Security & Trust in an IT Context October 20-22, 2005

  2. Objective • Examine fundamental principles of CA • Propose a four-tier framework for CA • Discuss implementation issues

  3. CA defined CA is a process that verifies the identity of an information systems user continuously for the entire duration of an authorized session.

  4. Motivation • Current IT environment feeds insecurity • Controls vulnerable to threats • Existing solutions are static • Need for an alternate, robust and dynamic solution • CA fits the bill !

  5. Implications • Systems design • Internal controls design • Audit models and techniques • Organizational learning • Behavioral repercussions • Integration with existing solutions & models • Alternative technology based solutions

  6. Fundamental CA Issues • Traditional Authentication Models • CA: Network versus User

  7. Table 1 Summary of Four CA Levels

  8. Model Fundamentals • Authentication confidences and thresholds • Probabilistic values Versus • Deterministic or binary authentication

  9. Levels of CA • Level 1 CA: user authentication • Level 2 CA: user-resource authentication • Level 3 CA: user-resource-system authentication • Level 4 CA: user-resource-system-transaction authentication

  10. Model Implementation:with Swarm Technology

  11. Swarm Intelligence Self-Organizing in Social Insects  Spatiotemporally Organized Networks of Pheromone Trails (Bonabeau, Dorigo, and Theraulaz, 1999) • Positive Feedback (Amplification)  Recruitment and Reinforcement  Trail Laying and Trail Following • Negative Feedback  Stabilization of Collective Patterns • Amplification of Fluctuations  Random Walks, Errors, Random Task-Switching  Continuous Optimization • Multiple Interactions  Minimum Density of Mutually Tolerant Agents

  12. Application of Swarm Intelligence to Continuous Authentication Self-Organizing of Multiple Ant-like Monitoring Computer Agents • Spatiotemporally Organized Networks of Profile-based Trails • Positive Feedback (Amplification)  Local Autonomous Agents  User, Resources, Workstation, and Transaction  Transition Rules  Local Updates • Negative Feedback  Global Autonomous Agent  Dynamic Conflict Resolution Rules  Global Updates

  13. Table 2 Implementation Summary of Four CA Levels

  14. Challenges • Mobile computing dynamics • Technical constraints • Prevention vs. Detection • Biometric related issues • Access control types and Location signatures • Security layer • Privacy concerns • Legal issues • Audit trail management

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