Access the full text.
Sign up today, get DeepDyve free for 14 days.
Due to the advancement in internet technologies, the demand for effective intrusion detection system (IDS) is increasing tremendously. The main objective of an IDS is to detect the instant attain in network with high accuracy. This paper mainly deals with IDS in cloud network. The existing system failed to protect the system due to increase in attacks, malwares and unable to track the high false positive and negative traffic rate. In this paper, a new hybrid bio-inspired-based IDS using swarm optimisation algorithm. Using this algorithm, the detection rate is improved and the false alarm rate is decreased.
International Journal of Enterprise Network Management – Inderscience Publishers
Published: Jan 1, 2022
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.