A survey on in-network computing: Programmable data plane and technology specific applications
In comparison with cloud computing, edge computing offers processing at locations closer to
end devices and reduces the user experienced latency. The new recent paradigm of in …
end devices and reduces the user experienced latency. The new recent paradigm of in …
Advancing sdn from openflow to p4: A survey
Software-defined Networking (SDN) marked the beginning of a new era in the field of
networking by decoupling the control and forwarding processes through the OpenFlow …
networking by decoupling the control and forwarding processes through the OpenFlow …
An exhaustive survey on p4 programmable data plane switches: Taxonomy, applications, challenges, and future trends
Traditionally, the data plane has been designed with fixed functions to forward packets using
a small set of protocols. This closed-design paradigm has limited the capability of the …
a small set of protocols. This closed-design paradigm has limited the capability of the …
Jaqen: A {High-Performance}{Switch-Native} approach for detecting and mitigating volumetric {DDoS} attacks with programmable switches
The emergence of programmable switches offers a new opportunity to revisit ISP-scale
defenses for volumetric DDoS attacks. In theory, these can offer better cost vs. performance …
defenses for volumetric DDoS attacks. In theory, these can offer better cost vs. performance …
Realtime robust malicious traffic detection via frequency domain analysis
Machine learning (ML) based malicious traffic detection is an emerging security paradigm,
particularly for zero-day attack detection, which is complementary to existing rule based …
particularly for zero-day attack detection, which is complementary to existing rule based …
Machine learning approaches for combating distributed denial of service attacks in modern networking environments
A Aljuhani - IEEE Access, 2021 - ieeexplore.ieee.org
A distributed denial of service (DDoS) attack represents a major threat to service providers.
More specifically, a DDoS attack aims to disrupt and deny services to legitimate users by …
More specifically, a DDoS attack aims to disrupt and deny services to legitimate users by …
[PDF][PDF] FlowLens: Enabling Efficient Flow Classification for ML-based Network Security Applications.
An emerging trend in network security consists in the adoption of programmable switches for
performing various security tasks in large-scale, high-speed networks. However, since …
performing various security tasks in large-scale, high-speed networks. However, since …
Machine-learning-enabled ddos attacks detection in p4 programmable networks
Abstract Distributed Denial of Service (DDoS) attacks represent a major concern in modern
Software Defined Networking (SDN), as SDN controllers are sensitive points of failures in …
Software Defined Networking (SDN), as SDN controllers are sensitive points of failures in …
An efficient design of intelligent network data plane
Deploying machine learning models directly on the network data plane enables intelligent
traffic analysis at line-speed using data-driven models rather than predefined protocols …
traffic analysis at line-speed using data-driven models rather than predefined protocols …
Collaborative prediction and detection of DDoS attacks in edge computing: A deep learning-based approach with distributed SDN
Edge computing (EC) has greatly facilitated the deployment of networked services with fast
responses and low bandwidth, by deploying computing and storage at the network edge …
responses and low bandwidth, by deploying computing and storage at the network edge …