A survey on in-network computing: Programmable data plane and technology specific applications

S Kianpisheh, T Taleb - IEEE Communications Surveys & …, 2022 - ieeexplore.ieee.org
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 …

A comprehensive survey on DDoS defense systems: New trends and challenges

Q Li, H Huang, R Li, J Lv, Z Yuan, L Ma, Y Han… - Computer Networks, 2023 - Elsevier
In the past ten years, the source of DDoS has migrated to botnets composed of IoT devices.
The scale of DDoS attacks increases dramatically with the number of IoT devices. New …

An exhaustive survey on p4 programmable data plane switches: Taxonomy, applications, challenges, and future trends

EF Kfoury, J Crichigno, E Bou-Harb - IEEE access, 2021 - ieeexplore.ieee.org
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 …

CocoSketch: High-performance sketch-based measurement over arbitrary partial key query

Y Zhang, Z Liu, R Wang, T Yang, J Li, R Miao… - Proceedings of the …, 2021 - dl.acm.org
Sketch-based measurement has emerged as a promising alternative to the traditional
sampling-based network measurement approaches due to its high accuracy and resource …

Practical gan-based synthetic ip header trace generation using netshare

Y Yin, Z Lin, M **, G Fanti, V Sekar - Proceedings of the ACM SIGCOMM …, 2022 - dl.acm.org
We explore the feasibility of using Generative Adversarial Networks (GANs) to automatically
learn generative models to generate synthetic packet-and flow header traces for networking …

An efficient design of intelligent network data plane

G Zhou, Z Liu, C Fu, Q Li, K Xu - 32nd USENIX Security Symposium …, 2023 - usenix.org
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 …

Aggregate-based congestion control for pulse-wave DDoS defense

AG Alcoz, M Strohmeier, V Lenders… - Proceedings of the ACM …, 2022 - dl.acm.org
Pulse-wave DDoS attacks are a new type of volumetric attack formed by short, high-rate
traffic pulses. Such attacks target the Achilles' heel of state-of-the-art DDoS defenses: their …

ADAM: an adaptive DDoS attack mitigation scheme in software-defined cyber-physical system

T Cai, T Jia, S Adepu, Y Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the widespread innovation of the Internet of Things, software-defined networking
(SDN), and cloud computing, cyber-physical systems (CPSs) have been developed and …

IIsy: Practical in-network classification

C Zheng, Z **ong, TT Bui, S Kaupmees… - arxiv preprint arxiv …, 2022 - arxiv.org
The rat race between user-generated data and data-processing systems is currently won by
data. The increased use of machine learning leads to further increase in processing …

Detecting unknown encrypted malicious traffic in real time via flow interaction graph analysis

C Fu, Q Li, K Xu - arxiv preprint arxiv:2301.13686, 2023 - arxiv.org
In this paper, we propose HyperVision, a realtime unsupervised machine learning (ML)
based malicious traffic detection system. Particularly, HyperVision is able to detect unknown …