Non-interactive zero knowledge proofs for the authentication of IoT devices in reduced connectivity environments

Walshe, Marcus; Epiphaniou, Gregory; Al-Khateeb, Haider; Hammoudeh, Mohammad; Katos, Vasilios; Dehghantanha, Ali

doi:10.1016/j.adhoc.2019.101988

Cited by 43 publications

(7 citation statements)

References 41 publications

(36 reference statements)

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“…Increasing the number of questions to 5 bits reduces the number of rounds to 8 [34,36]. Feige-Fiat-Shamir protocols are used in smart cards [37,38], the Internet of Things [39], and RFID automatic object identification systems [40,41] due to their high imitability. In reference [42], it was shown that the use of Feige-Fiat-Shamir ZKAP in IoT devices provides high imitability with the use of a 20-bit key and 20 rounds of authentication.…”

Section: Zero-knowledge Authentication Protocols: Advantages and Disadvantagesmentioning

confidence: 99%

Adaptive Authentication Protocol Based on Zero-Knowledge Proof

et al. 2022

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Authentication protocols are expanding their application scope in wireless information systems, among which are low-orbit satellite communication systems (LOSCS) for the OneWeb space Internet, automatic object identification systems using RFID, the Internet of Things, intelligent transportation systems (ITS), Vehicular Ad Hoc Network (VANET). This is due to the fact that authentication protocols effectively resist a number of attacks on wireless data transmission channels in these systems. The main disadvantage of most authentication protocols is the use of symmetric and asymmetric encryption systems to ensure high cryptographic strength. As a result, there is a problem in delivering keys to the sides of the prover and the verifier. At the same time, compromising of keys will lead to a decrease in the level of protection of the transmitted data. Zero-knowledge authentication protocols (ZKAP) are able to eliminate this disadvantage. However, most of these protocols use multiple rounds to authenticate the prover. Therefore, ZKAP, which has minimal time costs, is developed in the article. A scheme for adapting protocol parameters has been developed in this protocol to increase its efficiency. Reductions in the level of confidentiality allow us to reduce the time spent on the execution of the authentication protocol. This increases the volume of information traffic. At the same time, an increase in the confidentiality of the protocol entails an increase in the time needed for authentication of the prover, which reduces the volume of information traffic. The FPGA Artix-7 xc7a12ticsg325-1L was used to estimate the time spent implementing the adaptive ZKAP protocol. Testing was performed for 32- and 64-bit adaptive authentication protocols.

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Section: Zero-knowledge Authentication Protocols: Advantages and Disadvantagesmentioning

confidence: 99%

Adaptive Authentication Protocol Based on Zero-Knowledge Proof

et al. 2022

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“…Examples of other uses, include Hypothesis Testing based algorithms to perform polling for the values of multiple KPIs in an fig based IoT sensor network [6] , to facilitate protocols for the authentication of IoT devices [7] or manage the privacy of Smart Energy Meters [8]. To our knowledge, no other hypothesis-based application for evaluating different mitigation strategies in IoT has been presented in the available literature.…”

Section: A Statistical Hypothesis Testing In the Context Of Iot Networkmentioning

confidence: 99%

A Hypothesis Testing tool for the comparison of different Cyber-Security Mitigation Strategies in IoT

Mpatziakas

Papadopoulos

Drosou

et al. 2021

2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)

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Internet of Things (IoT) is a field with tremendous growth that already shows great impact in numerous domains. Simultaneous with this development is the need for better Cyber-security: IoT systems are attacked by various adversaries targeting IoT services, platforms and networks, which can have disruptive consequences. These attacks can be countered using multiple strategies with different effects to the system. The following paper, proposes a novel approach based on Machine Learning and Statistical Hypothesis Testing, which allows the security operator to investigate how using different strategies affects various KPI related to the security of the IoT network and if the KPI resulting from modifications to a mitigation strategy are statistically different when compared to those occurring from a starting mitigation action set.

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“…Hence, the result of malicious attacks can have severe consequences on human lives, business productivity and national security. In the following, we highlight some of the key security threats to CPS; we refer interested readers to the following works [3,5,9,20,32] for an extensive treatment of the topic.…”

Section: Cps Security Threats and Motivationmentioning

confidence: 99%

Threats on the horizon: understanding security threats in the era of cyber-physical systems

et al. 2019

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Disruptive innovations of the last few decades, such as smart cities and Industry 4.0, were made possible by higher integration of physical and digital elements. In today's pervasive cyber-physical systems, connecting more devices introduces new vulnerabilities and security threats. With increasing cybersecurity incidents, cybersecurity professionals are becoming incapable of addressing what has become the greatest threat climate than ever before. This research investigates the spectrum of risk of a cybersecurity incident taking place in the cyber-physical-enabled world using the VERIS Community Database. The findings were that the majority of known actors were from the US and Russia, most victims were from western states and geographic origin tended to reflect global affairs. The most commonly targeted asset was information, with the majority of attack modes relying on privilege abuse. The key feature observed was extensive internal security breaches, most often a result of human error. This tends to show that access in any form appears to be the source of vulnerability rather than incident specifics due to a fundamental trade-off between usability and security in the design of computer systems. This provides fundamental evidence of the need for a major reevaluation of the founding principles in cybersecurity.

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Non-interactive zero knowledge proofs for the authentication of IoT devices in reduced connectivity environments

Abstract: Please refer to published version for the most recent bibliographic citation information. If a published version is known of, the repository item page linked to above, will contain details on accessing it.

Cited by 43 publications

References 41 publications

Adaptive Authentication Protocol Based on Zero-Knowledge Proof

Adaptive Authentication Protocol Based on Zero-Knowledge Proof

A Hypothesis Testing tool for the comparison of different Cyber-Security Mitigation Strategies in IoT

Threats on the horizon: understanding security threats in the era of cyber-physical systems

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