Authenticated key distribution using given set of primes for secret sharing

Chandramowliswaran, N.; Subha, S.; Muralikrishna, P.

doi:10.1080/21642583.2014.985803

Cited by 15 publications

(9 citation statements)

References 11 publications

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“…For the previously mentioned advantages of ABSS, this paper proposes a new data outsourcing scheme based on ABSS that addresses several security challenges existing in data outsourcing, namely, availability, confidentiality and order preservation efficiently. There are other schemes that offer one [8,9] or two [19,21] of these characteristics, however, our proposed scheme supports all three characteristics in an efficient and computationally less expensive manner.…”

Section: This Paper Proposes a New Data Outsourcing Scheme Based On Amentioning

confidence: 99%

“…The most basic types are the threshold schemes, where only the cardinality of the set of shares matters [19,20]. In other words, given a secret S, and n shares, any set of t out of n shares is a set with the smallest cardinality from which the secret can be recovered [21], in the sense that any set of (t-1) shares is not enough to give S. This is known as a threshold access structure and is also known as (t, n) threshold secret sharing scheme [22]. Several secret sharing schemes have been employed in [2,10,23] to provide data availability for outsourced data.…”

Section: Introductionmentioning

confidence: 99%

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A secure data outsourcing scheme based on Asmuth–Bloom secret sharing

Muhammad

Kaiiali

Habbal

et al. 2016

Enterprise Information Systems

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A secure data outsourcing scheme based on Asmuth-Bloom secret sharing Data outsourcing is an emerging paradigm for data management in which a database is provided as a service by third party service providers. One of the major benefits of offering database as a service is to provide organizations, which are unable to purchase expensive hardware and software to host their databases, with efficient data storage accessible online at a cheap rate. Despite that, several issues of data confidentiality, integrity, availability and efficient indexing of users' queries at the server side have to be addressed in the data outsourcing paradigm. Service providers have to guarantee that their clients' data is secured against internal (insider) and external attacks. This paper briefly analyses the existing indexing schemes in data outsourcing and highlights their advantages and disadvantages. Then it proposes a secure data outsourcing scheme based on Asmuth-Bloom secret sharing which tries to address the issues in data outsourcing such as data confidentiality, availability and order preservation for efficient indexing.

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Section: This Paper Proposes a New Data Outsourcing Scheme Based On Amentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A secure data outsourcing scheme based on Asmuth–Bloom secret sharing

Muhammad

Kaiiali

Habbal

et al. 2016

Enterprise Information Systems

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“…For the protection of stored private‐key, researchers have exploited a strategy of a secret key‐sharing threshold. Chandramowliswaran et al 37 employed a Chinese‐remainder theory to present a distributed‐based authentication protocol. Their scheme protects the authentication key broadcasting between the authentic center and stakeholder, that is, group‐based communication.…”

Section: Research Backgroundmentioning

confidence: 99%

Lightweight privacy‐aware secure authentication scheme for cyber‐physical systems in the edge intelligence era

Deebak

Al‐Turjman²

2021

Concurrency and Computation

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Internet of Things (IoT) and cyber‐physical systems demand proper real‐time data processing and analysis to fulfill the essential characteristics of seamless computing services such as less processing time, dynamic network management, and location awareness. With the evolution of mobile edge computing, numerous security and privacy issues have been addressed including policy management, authentication, access control, and confidentiality. The technologies such as big‐data, Internet of Things, and cloud have improved the development of modern healthcare systems to improve the quality of medical services. It is nowadays integrating the computing methods and communication technologies such as wireless sensor networks, radio frequency identification, smartphones, and location awareness to collect and analyze the physiological data of the patient. The e‐Health entities such as medical device, client, and server rely on analytical models to carry out early diagnosis and remote monitoring. As it is based on e‐Health applications, a real‐time healthcare system is preferred to integrate with mobile cloud computing. Since the medical data are hugely exposed to vulnerabilities, a lightweight privacy‐aware secure authentication (LPASA) scheme is presented. To achieve better secure efficiencies, this article is preferable to use lightweight cryptographic operations, namely, one‐way hashing function and bitwise exclusive‐OR. Moreover, the formal and informal security analysis shows that the proposed LPASA can withstand the possible active and passive attacks such as replay, man‐in‐the‐middle, privileged‐insider, online‐guessing, and so forth. The experimental analysis demonstrates that the proposed LPASA scheme achieves a better quality of services in terms of packet delivery ratio, energy consumption per data delivery bit, and percentage of packets with low latency to adopt in resource‐constrained environments.

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“…Since the seminal work of Yao, a number of MPC-based digital signature protocols/schemes with different features have been proposed, for example to enable privacy in the signing phases. Some proposed protocols are based on the secret-sharing protocol, where a threshold t is specified such that only t or more shares can sign a message correctly, such as those designed for Schnorr [14,15] and for DSA/ECDSA [16][17][18][19][20]. However, such systems are generally limited to reconstruction of the secret key and the reconstructing party clearly can be targeted by attackers seeking to compromise the process.…”

Section: Introductionmentioning

confidence: 99%