Defense against Intrusion in a Live Streaming Multicast System

Haridasan, Maya; Renesse, Robbert van

doi:10.1109/p2p.2006.15

Cited by 21 publications

(11 citation statements)

References 15 publications

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“…[4][5][6][7] In Chainsaw, for example, nodes notify each other of receipt of data packets, and request packets from their neighbors based on the received notifications. Practical systems based on pull-based streaming now exist in China, where they are used to disseminate television channels to thousands of users.…”

Section: -3mentioning

confidence: 99%

<title>Enforcing fairness in a live-streaming system</title>

2008

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We describe a practical auditing approach designed to encourage fairness in peer-to-peer streaming. Auditing is employed to ensure that correct nodes are able to receive streams even in the presence of nodes that do not upload enough data (opportunistic nodes), and scales well when compared to previous solutions that rely on tit-for-tat style of data exchange. Auditing involves two roles: local and global. Untrusted local auditors run on all nodes in the system, and are responsible for collecting and maintaining accountable information regarding data sent and received by each node. Meanwhile, one or more trusted global auditors periodically sample the state of participating nodes, estimate whether the streaming quality is satisfactory, and decide whether any actions are required. We demonstrate through simulation that our approach can successfully detect and react to the presence of opportunistic nodes in streaming sessions. Furthermore, it incurs low network and computational overheads, which remain fixed as the system scales.

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Section: -3mentioning

confidence: 99%

<title>Enforcing fairness in a live-streaming system</title>

2008

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“…Haridasan and van Renesse argue that not all applications need anonymity and confidentiality, but the features that matter most in frequent cases, are authenticity, integrity and non-negation [5]. Still anonymity becomes a key issue of privacy protection in live video streaming systems.…”

Section: B Security Goals In Live Video Streamingmentioning

confidence: 99%

Lightweight Authentication Scheme for Live Video Streaming Security

.M¹,

Chezian²

2018

IJERMT

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Abstract-he majority of the traffic in the internet is dedicated to video streaming and its applications. Content Network Networks are good enough in live video streaming. But, implementing live video streaming is not an easy task. Delivery of live video streams can be complicated because of the variety of platforms, network types and streaming formats competing in today's online media services. Every user's expecting reliable high quality performance with data availability using heterogeneous choices. And it is now tougher than ever to ensure an agreeable, problem less viewing experience on live streaming. Another problem of video streaming is handling security issues, which need fast verification and effective attack resistance. CDN suffers from various security issues, here, a new prototype to perform secure content delivery especially on live video streaming. A lightweight video streaming authentication technique is developed, this authenticates and transmits the data and eliminates the unauthorized access.

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“…This attack consists on malicious users connecting to a victim and uploading junk data (DHUNGEL et al, 2008;YANG et al, 2008). Solutions based on hash functions were proposed to verify the integrity of pieces (HARIDASAN; RENESSE, 2006;MEIER;WATTENHOFER, 2008;SO;REEVES, 2011). In another work, Lehmann et al (LEHMANN et al, 2012) propose an additional reputation mechanism to isolate users who send corrupt pieces.…”

Section: General Massive Attacksmentioning

confidence: 99%