A Pragmatic Cybersecurity Strategies for Combating IoT-Cyberattacks

Massive Cyberattacks, especially Distributed Denial of Service (DDoS), remain an overwhelming threat to new emerging computer paradigms such as Cloud Computing and Internet of Things, deployed within critical infrastructures (healthcare, aviation, energy, industrial control and military). Furthermore, conventional security approaches and strategies are no longer appropriate to deal with this kind of cyberattacks, for the reason that they have major limitations. Consequently, identification and efficient detection of anomalies in this context requires not only suitable mechanisms integrating correct detection, but also early detection with an autonomous operating mode. This paper focuses on DDoS cyberattack detection and mitigation method based on artificial intelligence model affecting IoT network infrastructure.