Wireless sensor networks are considered to be among the most significant and innovative technologies in the 21st century due to their wide range of industrial applications. Sensor nodes in these networks are susceptible to a variety of assaults due to their special qualities and method of deployment. In WSNs, denial of service attacks are common attacks in sensor networks. It is difficult to design a detection and prevention system that would effectively reduce the impact of these attacks on WSNs. In order to identify assaults on WSNs, this study suggests using two machine learning models: decision trees and XGBoost. The WSNs dataset was the subject of extensive tests to identify denial of service attacks. The experimental findings demonstrate that the XGBoost model, when applied to the entire dataset, has a higher true positive rate (98.3%) than the Decision tree approach (97.3%) and a lower false positive rate (1.7%) than the Decision tree technique (2.7%). Like this, with selected dataset assaults, the XGBoost approach has a higher true positive rate (99.01%) than the Decision tree technique (97.50%) and a lower false positive rate (0.99%) than the Decision tree technique (2.50%).

Over the weekend, video game developer and publisher Blizzard Entertainment had a lot of angry gamers on its hands. The frustration stemmed from the fact the servers that usually would allow players to login to their accounts and play Blizzard titles online were inaccessible for hours. At cause of the disruption was a distributed denial of service (DDoS) attack, in which a malicious actor floods a target with traffic in order to make a service unreachable and unusable for others. DDoS attacks have fallen out of the headlines in recent years but they shouldn't fall out of the purview of organizations trying to protect against potential threats. While data breaches have taken over in the minds of consumers as the top risk posed by hackers and other threat actors, DDoS attacks pose their own, considerable threat--especially as they become easier to carry out and require less resources than they once did to deliver a major punch to a targeted organization.