Security and Privacy for Real Time Video Streaming Using Hierarchical Inner Product Encryption Based Publish-Subscribe Architecture

Rajan, M. A.; Varghese, Ashley; N, Narendra; Singh, Meena; Shivraj, V. L.; Chandra, Girish; Balamuralidhar, P.

doi:10.1109/waina.2016.101

Cited by 12 publications

(8 citation statements)

References 14 publications

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Section: Security and Privacymentioning

confidence: 99%

“…On the other hand, Varghese et al [141] exhibited a data privacy platform based on hierarchical inner product encryption, shortened by HIPE, and broker with an anonymous pubsub architecture for LVS systems. The results in [141] have shown the security and privacy outperformance of their proposal compared with a system without HIPE. In [38], the practical privacy-preserving live streaming, called P3LS, was irst proposed to protect the privacy of multiple streams in P2P LVS, where the evaluation of P3LS not only showed the privacy contribution but also 30% less bandwidth consumption than the non-P3LS strategy.…”

Section: Security and Privacymentioning

confidence: 99%

See 1 more Smart Citation

A Contemporary Survey on Live Video Streaming from a Computation-Driven Perspective

Dao

Tran

et al. 2022

ACM Comput. Surv.

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Live video streaming services have experienced significant growth since the emergence of social networking paradigms in recent years. In this scenario, adaptive bitrate streaming communications transmitted on web protocols provide a convenient and cost-efficient facility to serve various multimedia platforms over the Internet. In these communication models, video content is delivered optimally, possibly transcoded, edited automatically, and cached temporarily by network elements along the path. To this end, the computational capabilities of various network elements are considered as major resources to be optimized for service quality improvements. This paper provides a contemporary survey of cutting-edge live video streaming studies from a computation-driven perspective. First, an overview of the global standards, system architectures, and streaming protocols is presented. Next, hierarchical computation-driven models of live video streaming are anatomized, including cloud-, edge-, and peer-to-peer-based solutions. Cutting-edge studies are then reviewed to discover the advances they have made in improving system performance in multiple aspects. Finally, open challenges are presented to direct future research in this field.

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Section: Security and Privacymentioning

confidence: 99%

Section: Security and Privacymentioning

confidence: 99%

A Contemporary Survey on Live Video Streaming from a Computation-Driven Perspective

Dao

Tran

et al. 2022

ACM Comput. Surv.

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“…Rajan et al [50] leverage a privacy-preserving publish and subscribe [43] communication system to hide the interests of clients from video providers, under the live streaming model. As with the use of onion networks (e.g.…”

Section: Related Workmentioning

confidence: 99%

“…1 This is also not compatible with VoD bandwidth requirements. Some video streaming services with privacy as a design goal have been proposed [18,29,40,50]. All these solutions target fully peerto-peer approaches, without core servers.…”

Section: Introductionmentioning

confidence: 99%

PrivaTube

Silva

Mokhtar

Contiu

et al. 2019

Proceedings of the 20th International Middleware Conference

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Video on Demand (VoD) streaming is the largest source of Internet traffic. Efficient and scalable VoD requires Content Delivery Networks (CDNs) whose cost are prohibitive for many providers. An alternative is to cache and serve video content using end-users devices. Direct connections between these devices complement the resources of core VoD servers with an edge-assisted collaborative CDN. VoD access histories can reveal critical personal information, and centralized VoD solutions are notorious for exploiting personal data. Hiding the interests of users from servers and edge-assisting devices is necessary for a new generation of privacy-preserving VoD services. We introduce PrivaTube, a scalable and cost-effective VoD solution. PrivaTube aggregates video content from multiple servers and edge peers to offer a high Quality of Experience (QoE) for its users. It enables privacy preservation at all levels of the content distribution process. It leverages Trusted Execution Environments (TEEs) at servers and clients, and obfuscates access patterns using fake requests that reduce the risk of personal information leaks. Fake requests are further leveraged to implement proactive provisioning and improve QoE. Our evaluation of a complete prototype shows that PrivaTube reduces the load on servers and increases QoE while providing strong privacy guarantees.

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“…A prior secure topic-based Pub/Sub design [6] relies on symmetric encryption to enforce end-to-end content confidentiality and focuses on identity management to ensure that only approved subscribers recieve information. Also, [42] provides a related topic-based publish-subscribe framework that focuses on identity management with end-to-end encryption. These works are highly com-790 plimentary to PICADOR in that they addresses identity management issues that are not our focus.…”

mentioning

confidence: 99%

PICADOR: End-to-end encrypted Publish–Subscribe information distribution with proxy re-encryption

Borcea

Gupta

Polyakov

et al. 2017

Future Generation Computer Systems

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This article presents PICADOR, a system for end-to-end encrypted Publish-Subscribe information distribution with proxy re-encryption. PICADOR is designed for topic-based Pub/Sub systems and provides end-to-end payload confidentiality. The main novelty of PICADOR is that it provides an information distribution service with end-to-end encryption where publishers and subscribers do not need to establish shared encryption and decryption keys. Multiple publishers post encrypted information to a Pub/Sub broker which uses Proxy Re-Encryption (PRE) to convert this information into a representation that can only be decrypted by approved subscribers. The broker is unable to decrypt the information. To support PICADOR, we design and implement a novel PRE scheme that leverages a general lattice encryption software library. We prototype our system using a scalable Java-based information substrate that supports topic-based Pub/Sub operations. We experimentally evaluate performance and scalability tradeoffs in the context of enterprise and mobile applications. We discuss design tradeoffs and application-specific customizations. ) and information consumers (i.e., subscribers) [1]. This distribution model is useful in environments where information needs to be 5 aggregated from possibly multiple sources and distributed to consumers that have no direct connections with the information producers. Publishers and subscribers do not need to interact with each other directly or share identity information. There are two main types of Pub/Sub systems: topic-based and content-based. This article focuses on topic-based Pub/Sub systems: publish-10 ers post information with metadata topic labels to a Pub/Sub broker, and this broker distributes the published information to subscribers that are registered for specific topics.An example use case that benefits from Pub/Sub systems is in an enterprise medical domain where patients' past medical records need to be shared 15 with emergency care providers. In this scenario an insurance provider can operate a Pub/Sub system to support the distribution of past medical records [2,3]. Another example, in a tactical/mobile military domain, is when multiple military units passing through a geographic region generate imagery or other information. The units may be unable to interact directly [4,5], but there would 20 be clear benefits from sharing information. In this military example, a local Forward Operating Base or an Unmanned Aerial Vehicle flying overhead could maintain a Pub/Sub broker to support information sharing between units.A major challenge for Pub/Sub systems, illustrated by the application domains of these two examples, is confidentiality of information which is dis-25 tributed by the Pub/Sub broker. Existing Pub/Sub systems protect information payloads via encryption that requires either: 1) the publisher and subscriber coordinate to establish the encryption and decryption keys or 2) the Pub/Sub broker decrypts the information payloads from the publishers and then encrypts this information ...

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Security and Privacy for Real Time Video Streaming Using Hierarchical Inner Product Encryption Based Publish-Subscribe Architecture

Cited by 12 publications

References 14 publications

A Contemporary Survey on Live Video Streaming from a Computation-Driven Perspective

A Contemporary Survey on Live Video Streaming from a Computation-Driven Perspective

PrivaTube

PICADOR: End-to-end encrypted Publish–Subscribe information distribution with proxy re-encryption

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