The Design of a Defense Mechanism to Mitigate Sinkhole Attack in Software Defined Wireless Sensor Cognitive Radio Networks

Abstract

The sink hole attack is a typical wireless sensor network attack. The sink hole node advertises itself as the best route to the sink node or the base station. The nodes in the communication zone of the sink hole node then redirects their observed data to the sink hole node upon receiving the broadcasted supposedly the best route. The sink node receives the packets and then drops them. It can also modify them before relaying them to the sink node or base station. This study proposes a scheme designed to address the effects of the sink hole attack called the Hop Count-Based Detection Scheme for Sinkhole Attack. The performance of the scheme is evaluated using Matlab. The scheme is compared to Ibrahim's algorithm which is the best algorithm in literature. The simulation results show that HCODESSA achieves good results in comparison to Ibrahim's. The results show that the sinkhole attack has adverse effect on the performance of the network and that its severity depends on the number of nodes it can mislead. We further evaluated the two schemes using statistical techniques which proved that HCODESSA performs better.

Detecting Sinkhole Attacks in IoT-Based Wireless Sensor Networks Using Distance From Base Station

“…The main goal of the attacker in this attack is to draw attention to all traffic from a specified location by exploiting a compromised node. Sinkhole attack is the term for this traffic-gathering method (Karlof & Wagner, 2003) (Sejaphala & Velempini, 2020).…”

Research on SQL Injection Attack and Defense Technology of Power Dispatching Data Network: Based on Data Mining

“…For the power dispatching data network, it is very destructive. If you want to identify and defend against SQL injection attacks, you must first understand the process of SQL injection attacks [11,12]. e attacker constructs special user input based on SQL syntax.…”

5G Security Challenges and Solutions: A Review by OSI Layers

“…Although grayhole attacks may have lower impact in the overall network, they are also more difficult to be identified, as random drops may be due to malfunctioning of devices. Another ariant of this attack is given by the sinkhole attack, where a node advertises itself as the best route in the network, such that packets are pass through it and are redirected to the sink node and hence discarded [122].…”

“…Data is periodically collected from network's nodes to verify both the data authenticity and consequently assign a trust level. A solution based on count based detection scheme has been proposed by authors in [122] to mitigate sinkhole attacks. Each node in the network needs to report its hop count to the base station, which keeps track of the values reported by each node to detect possible sinkhole attacks.…”