The core of our work is the creation of an SDN application that takes input from a Snort IDS instances, thus working as a classifier for incoming network ...
The aim of our work was to design and develop a system that leverages the configurability of an SDN to divert traffic of some interesting nature out to an ...
May 24, 2021 · It identifies the malicious OED and shifts it to the honeypot to mitigate and analyze the attack. It uses two-stage hidden Markov model (HMM), ...
The core of our work is the creation of an SDN application that takes input from a Snort IDS instances, thus working as a classifier for incoming network ...
Oct 22, 2024 · Furthermore, these devices broad connectivity and dynamic heterogeneous nature can open up a new surface of attack for refined malware attacks.
Dive into the research topics of 'Towards An SDN Assisted IDS'. Together they form a unique fingerprint. Sort by; Weight · Alphabetically. Keyphrases.
This article presents a survey of intrusion detection and prevention system (IDPS), using state of art technologies, in the context of IoT security. IDPS ...
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This article proposes an SDN-assisted two-phase detection framework, namely SD-IoMT-Protector, in which the first phase utilizes the entropy technique as the ...
Apr 6, 2023 · We introduce a blockchain-enabled collaborative intrusion detection framework for SDN-assisted CPS. In particular, we use challenge-based CIDS in the study.
Missing: IDS. | Show results with:IDS.
In this paper, a novel HFS-LGBM IDS is proposed for SDN. First, the Hybrid Feature Selection algorithm consisting of two phases is applied to reduce the data ...