Elliptic Curve Based Zero Knowledge Proofs and their Applicability on Resource Constrained Devices

Chatzigiannakis, Ioannis; Pyrgelis, Apostolos; Spirakis, Paul G.; Stamatiou, Yannis C.

doi:10.1109/mass.2011.77

Cited by 45 publications

(20 citation statements)

References 25 publications

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“…NTRU consists of the less computational asymmetric approach based on the shortest vector problem in a lattice [94], however it requires more memory space to store keys. Elliptic curves are also in some cases very efficient and can ensure the same level of security as RSA and similar asymmetric cryptographic approaches with keys of small sizes [28]. Indeed, with 80-bit security level, we need only keys of 160 bit contrary to RSA where we need keys of 1024 bits.…”

Section: Traditional Public Key Solutionsmentioning

confidence: 99%

“…The idea behind ZKP is to allow to one party (prover) to demonstrate to another party (verifier) some property by proving its possessing of some information without disclosing it [28]. This concept is very useful to develop security protocols while preserving the privacy of users' data and properties.…”

Section: Data Privacymentioning

confidence: 99%

“…This concept is very useful to develop security protocols while preserving the privacy of users' data and properties. In contrast, Ioannis et al [28] proposed an evaluation of some ZKP protocols based on the Discrete Logarithm Problem on elliptic curves (ECC) for resource-constrained devices. The obtained results demonstrate that using ECC (with 1024 key's length) comparing to RSA provide less execution time and less memory with the same level of security.…”

Section: Data Privacymentioning

confidence: 99%

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Internet of things security: A top-down survey

2018

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Internet of Things (IoT) is one of the promising technologies that has attracted a lot of attention in both industrial and academic fields these years. It aims to integrate seamlessly both physical and digital worlds in one single ecosystem that makes up a new intelligent era of Internet. This technology offers a huge business value for organizations and provides opportunities for many existing applications such as energy, healthcare and other sectors. However, as new emergent technology, IoT suffers from several security issues which are most challenging than those from other fields regarding its complex environment and resources-constrained IoT devices. A lot of researches have been initiated in order to provide efficient security solutions in IoT, particularly to address resources constraints and scalability issues. Furthermore, some technologies related to networking and cryptocurrency fields such as Software Defined Networking (SDN) and Blockchain are revolutionizing the world of the Internet of Things thanks to their efficiency and scalability. In this paper, we provide a comprehensive top down survey of the most recent proposed security and privacy solutions in IoT. We discuss particularly the benefits that new approaches such as blockchain and Software Defined Networking can bring to the security and the privacy in IoT in terms of flexibility and scalability. Finally, we give a general classification of existing solutions and comparison based on important parameters.

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Section: Traditional Public Key Solutionsmentioning

confidence: 99%

Section: Data Privacymentioning

confidence: 99%

Section: Data Privacymentioning

confidence: 99%

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Internet of things security: A top-down survey

2018

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“…These huge differences make very difficult to compare among different implementations, at least that they have tested over the same architecture and exploiting the same features. For example, it can be found an implementation of ECC for MSP430 and JN5139 in [13] which presents a very low performance, since it is implemented over the WiseBed Operating System. Therefore, even when they are using the same architecture the results are highly different because they are not being able to exploit the main benefits from the architecture.…”

Section: Discussionmentioning

confidence: 99%

Shifting Primes on OpenRISC Processors with Hardware Multiplier

Marín

Jara

Skarmeta

2013

Lecture Notes in Computer Science

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Abstract. Shifting primes have proved its efficiency in CPUs without hardware multiplier such as the located at the MSP430 from Texas Instruments. This work analyzes and presents the advantages of the shifting primes for CPUs with hardware multiplier such as the JN5139 from NX-P/Jennic based on an OpenRISC architecture. This analysis is motivated because Internet of Things is presenting several solutions and use cases where the integrated sensors and actuators are sometimes enabled with higher capabilities. This work has concluded that shifting primes are offering advantages with respect to other kind of primes for both with and without hardware multiplier. Thereby, offering a suitable cryptography primitives based on Elliptic Curve Cryptography (ECC) for the different families of chips used in the Internet of Things solutions. Specifically, this presents the guidelines to optimize the implementation of ECC when it is presented a limited number of registers.

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“…ECC are useful in the implementation on constrained devices where the major computational resources such as speed, memory is limited and low-power wireless communication protocols are used. That is because it attains the same security levels with traditional cryptosystems using smaller parameter sizes as discussed in [16] [31]. Some of the advantages and disadvantage of this method is: Advantages:  Very few attributes are required compared to traditional cryptographic approaches…”

Section: Elliptical Curve Cryptographic Based Ppdmmentioning

confidence: 99%

A Review on “Privacy Preservation Data Mining (PPDM)

Laskar¹,

Lachit²

2014

IJCATR

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It is often highly valuable for organizations to have their data analyzed by external agents. Data mining is a technique to analyze and extract useful information from large data sets. In the era of information society, sharing and publishing data has been a common practice for their wealth of opportunities. However, the process of data collection and data distribution may lead to disclosure of their privacy. Privacy is necessary to conceal private information before it is shared, exchanged or published. The privacypreserving data mining (PPDM) has thus has received a significant amount of attention in the research literature in the recent years. Various methods have been proposed to achieve the expected goal. In this paper we have given a brief discussion on different dimensions of classification of privacy preservation techniques. We have also discussed different privacy preservation techniques and their advantages and disadvantages. We also discuss some of the popular data mining algorithms like association rule mining, clustering, decision tree, Bayesian network etc. used to privacy preservation technique.. We also presented few related works in this field.

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Elliptic Curve Based Zero Knowledge Proofs and their Applicability on Resource Constrained Devices

Cited by 45 publications

References 25 publications

Internet of things security: A top-down survey

Internet of things security: A top-down survey

Shifting Primes on OpenRISC Processors with Hardware Multiplier

A Review on “Privacy Preservation Data Mining (PPDM)

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