Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Intrusion Detection and Prevention System for Secure Multimedia sharing in Future Internet

Version 1 : Received: 5 January 2024 / Approved: 17 January 2024 / Online: 18 January 2024 (03:27:23 CET)

How to cite: ASHRAF, H.; ULLAH, A.; TAHIRA, S.; Jhanjhi, N. Intrusion Detection and Prevention System for Secure Multimedia sharing in Future Internet. Preprints 2024, 2024011313. https://doi.org/10.20944/preprints202401.1313.v1 ASHRAF, H.; ULLAH, A.; TAHIRA, S.; Jhanjhi, N. Intrusion Detection and Prevention System for Secure Multimedia sharing in Future Internet. Preprints 2024, 2024011313. https://doi.org/10.20944/preprints202401.1313.v1

Abstract

IP Multimedia Subsystem (IMS) supports high-speed transmission of multi-media like data, audio, and video between mobiles and other wireless devices. IMS is the most suitable for multimedia communication across multiple networks using the Internet of Things (IoT) and cloud computing. IoT-IMS can efficiently manage the huge amount of data generated by smart devices for audio-video during live streaming applications. During these services, the main problem is that an intruder can launch a Session Initialization Protocol (SIP) messages flooding attack on IMS that does not have the functionality to prevent itself from these types of attacks. In this paper, an intrusion detecting and preventing system (IDPS) is proposed that effectively detects the register flooding and spoofing attacks using SIP messages. We proposed a watermark embedding algorithm on the user side and an extraction algorithm on receiving side. A test-bed is set up for IMS where we have considered four different scenarios to evaluate the IDPS approach as compared to counterparts. Results illustrate the dominance of our scheme in terms of response time, register flooding attack detection ratios, CPU load utilization, fault detection ratio, and memory utilization. The fault detection ratio averagely 98.18

Keywords

IDS; IMS; IoT; LTE; Multi-media Sharing

Subject

Computer Science and Mathematics, Security Systems

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.