Detection and Prevention of TCP SYN Flooding Attack in WSN Using Protocol Dependent Detection and Classification System

Detection and Mitigation Distribution Denial of Service Attack Based on Blockchain Concept

“…Researchers have proposed various methods to address DDoS attacks on networks. In the study by Kumar and Gowda [6], the research addresses the issue of DDoS attacks on IoT systems by proposing a model that utilizes the Ethereum blockchain. The proposed model not only tackles the problem of single points of failure, privacy, and security in IoT systems but also provides a decentralized platform for preventing DDoS attacks at the application layer.…”

“…Where, the attacker launches a synchronized attack that overwhelms the target's bandwidth, processing power, or application layer resources [4] and thus, the distributed denial-of-service attack depends in its essence mainly on exploiting a network of compromised devices, such as computers, smartphones, and cameras, known as botnets, in order to flood the target network or servers with a huge amount of data traffic [5]. This large flood of data traffic consumes the resources available in the target, preventing the systems from dealing with and responding to authorized requests [6].…”

“…This causes the target system to flood with half-open connections that consume system resources and makes it unable to process legitimate requests [10]. Moreover, DDoS attacks can also be divided into groups according to where they come from, such as network-layer attacks, where traffic comes from numerous IP addresses, or applicationlayer attacks, which take use of flaws in particular programs [6,11].…”

Investigating the performance vulnerability of AODV protocol of IoT network under SYN-flood attack

“…Similarly, the task in [18] was to develop an efficient model for detecting and mitigating DDoS attacks induced by TCP SYN flood in SDN environments. Additionally, the objective in [19] was to develop a system capable of detecting SYN flood attacks based on the power generated during connection establishment, but this is a challenging undertaking due to the limitations and vulnerabilities of wireless sensor networks. In [20], the primary challenge is to detect TCP SYN flood attacks in a multitenant cloud environment from the perspective of a cloud service provider.…”