CERIAS - Center for Education and Research in Information Assurance and Security

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Purdue University
Center for Education and Research in Information Assurance and Security

Conflict/Error Prevention, Detection, and Recovery over Networks

Principal Investigator: Shimon Nof

Conflicts and errors are unavoidable in complex networks such as energy grids, supply chains and computer systems. The objective of this research is to design algorithms for effective and automated conflict/error (CE) prevention, detection, and recovery (PDR). The relationships of different CE play an important role: Local CE can propagate to large-scale system damage according to CE dependencies, if not handled correctly and in time. On the other hand, the structural information of the CE network can improve the PDR operations. Constraint-based models are designed based on the complex network theory to define CE dependencies and provide prescriptive abstractions for real-world systems. A centralized algorithm taking advantage of network stracture, a decentralized algorithm enabling parallelism with distributed PDR agents, and hybrid algorithms are designed to prevent, detect, and recover from CEs. The new algorithms use relationships between CE constraints to improve efficiency. Analytical study and simulation experiments on various systems are conducted to validate the new algorithms and compare their performance to that of the traditional algorithm. Results show that for effective PDR, new algorithms shall be used according to several performance measures: Response time, coverage ability, preventability, and damage. The alignment between algorithms and network characteristics, i.e., centralized algorithms for centralized networks and decentralized algorithms for decentralized networks, improves PDR. During the PDR operations, the collaboration between PDR agents also need to be efficiently coordinated and optimized to minimize the cascading effects of CE.

 

Personnel

Other PIs: Xin W. Chen

Students: Hao Zhong

Representative Publications

  • Xin W. Chen, Steven J. Landry, Shimon Y. Nof: A framework ofenroute air traffic conflict detection and resolution through complex network analysis. Computers in Industry 62(8-9): 787-794 (2011)

  • Xin W. Chen, Shimon Y. Nof: Conflict and error prevention and detection in complex networks. Automatica 48(5): 770-778 (2012)

     

  • Chen, X. W. and Nof, S. Y. (2012), Agent-based error prevention algorithms. Expert Syst. Appl. 39, 1 (2012), 280-287.

  • Landry, S. J., Chen, X. W., & Nof, S. Y. (2013). A decision support methodology for dynamic taxiway and runway conflict prevention. Decision Support Systems55(1), 165-174.

  • Zhong, H., Nof, S. Y., Filip, F. G. (2014) Dynamic Lines of Collaboration in CPS Disruption Response, 19th IFAC World Congress, August 24-29, 2014, Cape Town, South Africa.

  • Hao Zhong and Shimon Y. Nof (2014). DLOC COMPLEX NETWORK MODEL FOR SUPPLY NETWORK DISRUPTION RESPONSE, Int. Conf. Prod. Res., AME, Cluj-Napoca, Romania

Keywords: Collaborative control, Complex systems, Detection algorithms, Error detection, Network topologies, Prevention