SYSTEM AND A METHOD FOR DETECTING ANOMALOUS PATTERNS IN A NETWORK

• Main Authors: Dasarathan, Keerthika, Selvaraj, Vinoth, Viswanathan, Srihari, Cheriakallil, Rohith, Babu, Lakshmanan
• Format: Patent
• Language: English
• Published: 29.04.2021
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC COMMUNICATION TECHNIQUE; ELECTRIC DIGITAL DATA PROCESSING; ELECTRICITY; PHYSICS; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION

The present invention discloses a system and a method for detecting anomalous patterns in a network such as a LAN, WAN, MAN, internet of things (Iot), cloud networks, or any other network. In operation, the system and method of the present invention determines a generic pattern of behavior associated with a plurality of anomaly classes based on a plurality of feature values using reinforcement learning technique. The generic pattern is fixed as a boundary for each of the plurality of anomaly classes and is representative of behavior which substantially simulates the network behavior on attack by any of the plurality of anomaly classes. Further, the present invention, provides for updating the generic pattern using reinforcement learning. The updated generic pattern is implemented to analyze and detect anomalous behavior in the incoming network traffic in real time.