SCAN-Fault: Scalable Autonomic Fault Detection and Root-Cause Analysis in a Heterogeneous Network Navy SBIR FY2012.3 Sol No.: Navy SBIR FY2012.3 Topic No.: N123-162 Topic Title: SCAN-Fault: Scalable Autonomic Fault Detection and Root-Cause Analysis in a Heterogeneous Network Proposal No.: N123-162-0153 Firm: Intelligent Automation, Inc. 15400 Calhoun Drive Suite 400 Rockville, Maryland 20855 Contact: Renato Levy Phone: (301) 294-5241 Web Site: www.i-a-i.com Abstract: To support reliable and secure communications, a suitable network analysis tool is needed for accurately and efficiently detecting, diagnosing, and predicting faults in the network. In tactical networks, faults can be very common, and are typically hard and time consuming to detect, isolate and fix. Moreover, in a heterogeneous network, a small network problem along any part of an end-to-end path can potentially degrade the user experience significantly. But identifying and resolving this problem may require knowledge and action across different domains and planes. Furthermore, fault analysis schemes designed for the traditional networks are not fully suitable to wireless networks such as mobile ad hoc networks and cognitive radio networks. To address these issues, Intelligent Automation, Inc. (IAI) proposes to develop a SCalable AutoNomic Fault detection and root-cause analysis (SCAN-Fault) scheme that can analyze the monitored network as a whole and assist the users (i.e., network operators) in maintaining, optimizing, and securing the managed network. The proposed approach will significantly improve the reliable and secure access to battlefield network, and reduce the cost and risks for network management. Benefits: The proposed solution has great potential in dynamic military applications. Given the GIG vision, such heterogeneous and dynamic wireless networks will be common and therefore reliable and secure communication is necessary. The proposed fault detection and diagnosis mechanisms and the developed network analysis tool can be applied to various military networks potentially supporting a number of major programs such as Joint Tactical Radio System (JTRS), Warfighter Information Network-Tactical (WIN-T), Future Combat System (FCS), etc. In particular, IAI will work with Boeing to transition the network analysis tool to various DOD programs to support reliable and secure communications in the battlefield network. The commercial drive for a network analysis tool is also increasing due to the increasing popularity of wireless network technologies. The potential commercial applications include wireless sensor/ad hoc networks, wireless mesh networks, cognitive radio networks, and satellite networks. The size of the market is quite large and may grow rapidly with the commercial demand for network reliability and availability. Return