Quality adaptation by using scalable video coding (SVC) over P2P IP Multimedia Subsystem (P2P IMS)

Ghani, Adnane; Elhaj, El Hassan Ibn; Hammouch, Ahmed

doi:10.1145/3320326.3320334

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…Such attacks can be launched over the security tunnels by an IA specifically if the parser's implementation is weak. Moreover, registration procedure data exchange through intermediaries as well by adapting the change in attack patterns [10] is time-consuming and complex. We note that if the user sends only two register requests, this results in 20 messages inside the network.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In a similar vein, an adaptive data collection mechanism uses heuristic algorithms along with synthetic attack recognition. It helps to secure the data exchange through intermediaries as well by adapting the change in attack patterns [10]. It is applicable in Voice Over IP (VoIP) infrastructures of IMS where SIP protocol is responsible for session setup and session handling.…”

Section: Introductionmentioning

confidence: 99%

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

ASHRAF,

ULLAH,

TAHIRA

et al. 2024

Preprint

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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

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%