Webb25 jan. 2024 · Zhijun et al. proposed another DDoS attack detection algorithm in . This paper investigates the slow TCAM Exhaustion attack, an LR_DDoS attack, and presents a multifeatured detection scheme based on Factorization Machine (FM) machine learning method. They also suggested a protection scheme based on dynamic flow rule detection. Webb4 maj 2024 · This paper shows that this assumption is not necessarily true and that SDNs are vulnerable to Slow TCAM exhaustion attacks (Slow-TCAM). We analyse this attack …
Slow TCAM Exhaustion DDoS Attack - hal.science
http://nigam.info/docs/ifipsec17.pdf Webb4 maj 2024 · Slow TCAM Exhaustion DDoS Attack 1 Introduction. In Software Defined Networks (SDN), a powerful controller is responsible for taking the decision of... 2 Slow … Table 1. Slow-TCAM: Time to service and availability. The value on Success Rate … SIFT: Time to service and availability when under an attack of intensity of 5.8 uniq… phoenix aerospace technologies
On the Detection of Low-Rate Denial of Service Attacks at ... - MDPI
Webb15 mars 2024 · A DDoS attack is a distributed and coordinated attack that originates from multiple network sources. Fundamentally, the strategy of this attack is to send a sheer volume of spoofed IP packets from disparate sources in order to make the network resources unavailable to legitimate users. WebbThe latter module is designed specifically to defend against the Slow Ternary Content Addressable Memory (TCAM) exhaustion attack (Slow-TCAM) using a new Alleviative Threat for TCAM (ATFT) algorithm. The proposed framework is implemented and tested in simulated networks using Mininet and further evaluated on the CICDDoS2024 dataset. WebbWe analyse this attack arguing that existing defenses for saturation and TCAM exhaustion attacks are not able to mitigate Slow-TCAM due to its relatively low traffic rate. We then propose a novel defense called SIFT based on selective strategies demonstrating its effectiveness against the Slow-TCAM attack. how do you close the sidebar