Can I read Application of Deep Learning in Honeypot Network for Cloud Intrusion Detection on EtoBox?

Application of Deep Learning in Honeypot Network for Cloud Intrusion Detection by S. B. Goyal; Pradeep Bedi; Shailesh Kumar; Jugnesh Kumar; Nasrin Rabiei Karahroudi is a book available to read on EtoBox.

What is Application of Deep Learning in Honeypot Network for Cloud Intrusion Detection about?

Network protection becomes the key concern of all organizations in defending them from cyber threats of all kinds. The analysis of traffic in the network is an important activity for this reason. Network traffic analysis is achieved via the implementation of various intrusion detection systems. A honeypot is one of the most critical instruments to detect network intrusions. Honeypots communicate with the attacker and gather data that can be analyzed to collect information about the attacks and network attackers. Honeypots are security tools by which the attacker targets and generates attack data logs. Honeypots provide small quantities of relevant data so that security vigilance can easily understand, and future research can be carried out. To resolve the issues of new attacks in the network, this paper is focused to focus on the integration of honeypot to identify and treat suspicious network traffic flow. This paper gives a brief overview of the implementation of honeypot in the cloud. In this work, deep learning trained IDS is proposed on the honeypot server for network traffic analysis.

Author

S. B. Goyal; Pradeep Bedi; Shailesh Kumar; Jugnesh Kumar; Nasrin Rabiei Karahroudi

Publisher

Springer Singapore : Imprint: Springer

Published

2022

Language

EN

ISBN

9789811671821

Subjects

Science, Engineering, Computer Science