AI for the Detection and Mitigation of Cyberattacks скачать в хорошем качестве

AI for the Detection and Mitigation of Cyberattacks

Speaker: Erom Gelenbe (Institute of Theoretical & Applied Informatics, Polish Academy of Sciences) Abstract: Gateway Servers for the Internet of Things, including critical application areas such as the Internet of Vehicles and health monitoring, must meet stringent Security and Quality of Service (QoS) requirements, offering cyberattack protection with fast response and minimal loss of benign data. Therefore, it is vital to protect these systems with adequate Attack Detection (AD) and Mitigation mechanisms. We will first demonstrate online as well as federated learning techniques that accurately detect attacks. Measurements of packet floods that convey a cyberattack will also be shown to impair the QoS at the Gateways and impede their capability to carry out AD. Novel traffic shaping methods to ensure that a Gateway can allow AD to operate promptly during an attack will be discussed. A new Adaptive Attack Mitigation (AAM) system will be introduced to sample the incoming packet stream, determine whether the attack is ongoing, dynamically drop batches of packets at the input to reduce the effects of the attack and minimize the AD overhead and the cost of lost benign packets. Check out our website: www.lincs.fr