Computer Network Operations (CNO) for Ground-based Midcourse Defense (GMD)

The United States has the greatest vulnerability to a cyber attack than any other nation in the world. Detecting cyber threats at wired-speed is required to stop the execution of such cyber attacks and prevent spreading of the attack onto internal networks once the network security has been breached. Currently, Intrusion Detection Systems (IDS) make use of Content Addressable Memories (CAM) to perform accelerated data searches within a storage array for pattern recognition. These CAMs lack the needed word-width and memory storage depth to perform high-speed data throughput beyond a Gigabit per second bandwidth. CAMs implement, a massive amount of parallelism to meet the bandwidth need, but parallelism adds large amounts of latency to the detection processing, thus not allowing for wired-speed processing to occur. Irvine Sensors Corporation (ISC) proposes a novel, innovative, hardware solution, which greatly reduces the latency in large-scale pattern matching systems where computation-intensive searches of Gigabit per second bandwidth traffic are used by Intrusion Detection Systems. This new capability allows for offensive measures to be executed to detect the source of such attacks and perform forensic analysis without compromising the networks bandwidth or functionality. This device can easily be integrated wherever CAMs are used or needed.