Secure data aggregation with homomorphic primitives in wireless sensor networks: A critical survey and open research issues

Hayouni, Haythem; Hamdi, Mohamed

doi:10.1109/icnsc.2016.7479039

Cited by 15 publications

(4 citation statements)

References 10 publications

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“…ñ Homomorphic encryption. It enables third-party services to process a transaction without revealing unencrypted data to them [240], [241]. This kind of encryption has been already proposed to enhance the Bitcoin protocol [242], [243] and for blockchain-based IoT systems [244].…”

Section: Key Findingsmentioning

confidence: 99%

Towards Post-Quantum Blockchain: A Review on Blockchain Cryptography Resistant to Quantum Computing Attacks

2020

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Blockchain and other Distributed Ledger Technologies (DLTs) have evolved significantly in the last years and their use has been suggested for numerous applications due to their ability to provide transparency, redundancy and accountability. In the case of blockchain, such characteristics are provided through public-key cryptography and hash functions. However, the fast progress of quantum computing has opened the possibility of performing attacks based on Grover's and Shor's algorithms in the near future. Such algorithms threaten both public-key cryptography and hash functions, forcing to redesign blockchains to make use of cryptosystems that withstand quantum attacks, thus creating which are known as post-quantum, quantum-proof, quantum-safe or quantum-resistant cryptosystems. For such a purpose, this article first studies current state of the art on post-quantum cryptosystems and how they can be applied to blockchains and DLTs. Moreover, the most relevant post-quantum blockchain systems are studied, as well as their main challenges. Furthermore, extensive comparisons are provided on the characteristics and performance of the most promising post-quantum public-key encryption and digital signature schemes for blockchains. Thus, this article seeks to provide a broad view and useful guidelines on post-quantum blockchain security to future blockchain researchers and developers.

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Section: Key Findingsmentioning

confidence: 99%

Towards Post-Quantum Blockchain: A Review on Blockchain Cryptography Resistant to Quantum Computing Attacks

2020

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“…The use of homomorphic encryption could also be a possible solution for preserving privacy. 209 Data privacy strategies may also exist somewhere outside the chain, usually known as an off-chain alternative. 210 Identity management is another prevalent issue of IoMT devices.…”

Section: Privacymentioning

confidence: 99%

A comprehensive review on blockchain and Internet of Things in healthcare

Sharma

Kaur

Singh

2021

Trans Emerging Tel Tech

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Blockchain Technology, the fundamental technology behind Bitcoin, has drawn considerable recognition ever since its origin. Its potential has gained significant interest in various applications, varying from the music industry, financial services, Internet-of-Things (IoT), smart grid, edge computing, cybersecurity, and the healthcare industry. However, the information is divided amongst several intermediaries involved with adverse impacts on data quality in the healthcare domain. In the near future, blockchain technology can reshape the way the healthcare industry works by providing personalized and reliable patient data management, reforming the traditional healthcare practices, secure mechanisms for data sharing, efficient pharmaceutical supply chain management, and drug traceability and many more. In this study, an extensive literature review has been provided that includes the different prospects of using blockchain technology in healthcare. The review investigates the work done to enable the amalgamation of IoT and Blockchain in the health ecosystem. Significant blockchain-based healthcare use cases such as data storage, data sharing, drug traceability, clinical trials, and remote patient monitoring are investigated. Further, the Internet of Things and blockchain technology-based SWOT (Strength, Weakness, Opportunity, and Threat) analysis and the challenges linked in the healthcare domain because of the enactment of IoT and blockchain technology are discussed to support advanced studies in this domain.

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“…Several review articles [2][3][4][5][6][7][8][9][10][11][12][13][14][15] are available on SDA in WSN. In these papers, the authors have comprehensively described various methods for SDA for different topological configurations.…”

Section: Related Workmentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Chethana

Padmaja²

2020

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Providing Privacy and security for aggregated data in wireless sensor networks has drawn the attention of practicing engineers and researchers globally. Several cryptographic methods have been already proposed to solve security and data integrity problems for aggregated data. Matrix cryptography is a better option for creating secure encryption/decryption algorithms to counter quantum attack. However, these algorithms have higher computational cost and increased communication overhead. Hence, a new technique of loss-less secure data aggregation in Clustered Wireless Sensor Networks is presented. The proposed method uses integer matrices as keys for data security and data integrity. Matrix operations are carried out in finite field Zp. Loss-less secure data aggregation is extended for homomorphic summation while the cipher text expansion ratio is kept substantially low. The proposed algorithm has inbuilt fast and efficient signature verification facility. The execution time of our signature verification mechanism is found to be approximately 50 percent less compared to a couple of standard existing signature verification schemes. Keywords-loss-less data aggregation, integer matrices as keys, finite field Zp, homomorphic aggregation I. INTRODUCTION HE main task of Data Aggregation (DA) in WSN is to combine the collected data from the sensor nodes into a meaningful aggregate [1-2]. The aggregate may be sum, average, count, min, max, median or any other aggregating function of the individual data. The aggregate type depends on the requirement of the users. In general, during the aggregation process, DA eliminates trivial, duplicate and redundant data values. DA effectively reduces the data size from the aggregator to the final End User (EU) through intermediate Relay Nodes (NSs), Base Station (BS), and Cloud Server (CS).The reduction in the data size in turn decreases the traffic load and consequently the computational time and energy consumption are also reduced. This increases the life of the Wireless Sensor Network (WSN). A. Secure Data AggregationWith DA, the aggregated data is located at the aggregator and at the intermediate relay nodes. If these locations are attacked, the entire data will be compromised. The exposure of G. Chethana, Research Scholar, is with the dept. of Electronics and Communication Engg, at

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Secure data aggregation with homomorphic primitives in wireless sensor networks: A critical survey and open research issues

Cited by 15 publications

References 10 publications

Towards Post-Quantum Blockchain: A Review on Blockchain Cryptography Resistant to Quantum Computing Attacks

Towards Post-Quantum Blockchain: A Review on Blockchain Cryptography Resistant to Quantum Computing Attacks

A comprehensive review on blockchain and Internet of Things in healthcare

International Journal of Electronics and Telecommunications

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