Trustworthy data: A survey, taxonomy and future trends of secure provenance schemes

Zafar, Faheem; Khan, Abid; Suhail, Sabah; Ahmed, Idrees; Hameed, Khizar; Khan, Hayat Mohammad; Jabeen, Farhana; Anjum, Adeel

doi:10.1016/j.jnca.2017.06.003

Cited by 85 publications

(58 citation statements)

References 89 publications

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“…RPL is a standardized routing protocol for the IP-connected IoT. It creates a Destination-Oriented Directed Acyclic Graph (DODAG) and supports 2 modes of operation (1,2,5,6) in NT and also routing entries (5,6,8,9,10) in RT.…”

Section: Overview Of the Rpl Protocolmentioning

confidence: 99%

“…We consider a provenance-aware data model that keeps track of: a) Set of participating nodes (N ω ) where N ω ⊂ N having P arent, Child relationship. b) Data packet d p along with routing information 8…”

Section: Provenance Modelmentioning

confidence: 99%

“…c) A malicious node cannot inject counterfeit information in the provenance record or remove any benign node from the provenance record. 8. R inf o is represented as P arent, Child relationship.…”

Section: Adversary Modelmentioning

confidence: 99%

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Provenance-enabled packet path tracing in the RPL-based internet of things

et al. 2020

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The interconnection of resource-constrained and globally accessible things with untrusted and unreliable Internet make them vulnerable to attacks including data forging, false data injection, and packet drop that affects applications with critical decisionmaking processes. For data trustworthiness, reliance on provenance is considered to be an effective mechanism that tracks both data acquisition and data transmission. However, provenance management for sensor networks introduces several challenges, such as low energy, bandwidth consumption, and efficient storage. This paper attempts to identify packet drop (either maliciously or due to network disruptions) and detect faulty or misbehaving nodes in the Routing Protocol for Low-Power and Lossy Networks (RPL) by following a bi-fold provenance-enabled packed path tracing (PPPT) approach. Firstly, a system-level ordered-provenance information encapsulates the data generating nodes and the forwarding nodes in the data packet. Secondly, to closely monitor the dropped packets, a node-level provenance in the form of the packet sequence number is enclosed as a routing entry in the routing table of each participating node. Lossless in nature, both approaches conserve the provenance size satisfying processing and storage requirements of IoT devices. Finally, we evaluate the efficacy of the proposed scheme with respect to provenance size, provenance generation time, and energy consumption.

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Section: Overview Of the Rpl Protocolmentioning

confidence: 99%

Section: Provenance Modelmentioning

confidence: 99%

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Provenance-enabled packet path tracing in the RPL-based internet of things

et al. 2020

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“…由于世系数据所包含信息的敏感性以及世系在数据监管等应用中发挥的作用, 保护世系数据的安全性是世系研究的重要问题之一 [304] . 研究人员在世系数据安全的形式化定义、世系数据的加密、签名、访问控制和隐私保护等诸多方面进行了研究 [305] .…”

Section: 在世系数据的采集、存储、融合和查询中世系采集是研究人员的主要关注在大数据场景下世系数据本身也是一种大数据unclassified

Research progress on big data security technology

Chen¹,

Gao²,

Huilin³

et al. 2020

Sci. Sin.-Inf.

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Independence and controllability of big data security Chinese Science Bulletin 60, 427 (2015); Research progress in the complexity theory and algorithms of big-data computation SCIENTIA SINICA Informationis 46, 1255 (2016); Real-time intelligent big data processing: technology, platform, and applications SCIENCE CHINA Information Sciences 62, 082101 (2019); Research on theory and key technology of trusted computing platform security testing and evaluation SCIENCE CHINA Information Sciences 53, 434 (2010); Earth observation big data for climate change research

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“…It should be noted that although a number of projects have been implemented in recent years to create systems for supporting and managing metadata, including the provenance of data, but the vast majority of the implemented solutions are centralized [3], [4], which is poorly consistent with the use of a distributed dynamically changing environment, and the possibility of using metadata by organizationally unrelated or weakly related research communities. On the other hand, in recent years, distributed registries based on blockchain technology have become very popular in various applied areas due to a number of important advantages [5], [6].…”

Section: Introductionmentioning

confidence: 99%

The Approach to Managing Provenance Metadata and Data Access Rights in Distributed Storage Using the Hyperledger Blockchain Platform

Demichev

Kryukov

Prikhodko

2018

2018 Ivannikov Ispras Open Conference (ISPRAS)

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The paper suggests a new approach based on blockchain technologies and smart contracts to creation of a distributed system for managing provenance metadata, as well as access rights to data in distributed storages, which is faulttolerant, safe and secure from the point of view of preservation of metadata records from accidental or intentional distortions. The implementation of the proposed approach is based on the permissioned blockchains and on the Hyperledger Fabric blockchain platform in conjunction with Hyperledger Composer.

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Trustworthy data: A survey, taxonomy and future trends of secure provenance schemes

Cited by 85 publications

References 89 publications

Provenance-enabled packet path tracing in the RPL-based internet of things

Provenance-enabled packet path tracing in the RPL-based internet of things

Research progress on big data security technology

The Approach to Managing Provenance Metadata and Data Access Rights in Distributed Storage Using the Hyperledger Blockchain Platform

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