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Sridharan, Ragav; Maiti, Rajib Ranjan; Tippenhauer, Nils Ole

doi:10.1145/3212480.3212495

Cited by 13 publications

(3 citation statements)

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“…To our best knowledge, published DDoS detection techniques in conjunction with RAN revolve around protection against various types of DoS attacks against the eNB/gNB and the provided wireless service (e.g., 3GPP signaling storm, etc.) [9]- [11]. On the other hand, there are many existing solutions in the industry to detect different types of IP-based DDoS attacks (e.g., TCP SYN flood, UDP Flood, etc..) by looking at IP packets or IP flow information.…”

Section: Related Workmentioning

confidence: 99%

“…However, the authors did not provide any evaluation outcomes for their proposed architecture in their paper. In the work by Sridharan et al [9], a framework was created to passively identify application layer attacks by analyzing encrypted wireless traffic through link-layer features. Experimental trials involving diverse IoT devices revealed that the framework successfully recognized 96.2% of IP camera attacks, achieving a 97% accuracy in their classification, and accurately pinpointed Mirai bot infections with a precision of 96.1%.…”

Section: Related Workmentioning

confidence: 99%

“…Within the realm of mobile networks, various approaches have been suggested for identifying DDoS attacks [9]- [13]; nevertheless, the majority of these strategies focus on scrutinizing packets at the IP level. These examinations occur within the core network, where the malicious packets traverse the Radio Access Network (RAN) and are in close proximity to the targeted destination.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Detecting IP DDoS Attacks Using 3GPP Radio Protocols

Abdelrazek,

Fuladi,

Kövér

et al. 2024

IEEE Access

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Contemporary mobile networks, offering advanced services such as highly dependable and fast communication (URLLC) and extensive device-to-device connectivity (mMTC), are paving the way for the upcoming 6G era. These networks are expanding their capabilities beyond traditional voice and short messaging services, enabling diverse devices to connect to the cellular network. However, with this increased connectivity comes a heightened vulnerability at the radio interface, which is the primary access medium for mobile network communication. This research work focuses on safeguarding the availability of the radio interface in the face of emerging threats. Threats to radio interface availability can originate either directly from exploiting the 3GPP radio protocol stack within base stations or indirectly through the IP protocol stack carried over the user plane. In particular, this research paper delves into user plane DDoS attacks leveraging the IP protocol stack to generate excessive traffic. It introduces a novel detection method situated within the Radio Access Network (RAN). This method analyzes the patterns of radio protocols and their functionalities to identify user plane DDoS attacks initiated from User Equipment (UEs). Importantly, the method does not rely on directly inspecting user plane packets like IP packets but rather leverages the characteristics of 3GPP radio protocols (e.g., MAC, RLC, PDCP) to detect IP DDoS attacks closer to their origin. This early detection capability helps prevent DDoS traffic from propagating to the transport network. The implications of this research extend beyond the current generation of networks, as it lays a foundation for enhancing security in the forthcoming 6G networks. As 6G aims to deliver even more advanced services and connectivity across a diverse array of devices, the robust security measures proposed in this work will be instrumental in ensuring the reliability and availability of these cutting-edge networks. The analysis employed in this paper showcase the performance with accuracy of 98.9% for DDoS attack detection.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%