Password Authentication for multicast host using zero knowledge Proof

Ranganathan, S.Raja; Saravanan, R.

doi:10.11591/ijece.v5i6.pp1468-1471

Cited by 3 publications

(3 citation statements)

References 10 publications

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“…Thus, the malicious prover is incapable of forging information possessed by the prover P and is also incapable of forging proof of knowledge of that information. After N iterations of the ZKP algorithm, the malicious prover has only a probability of 2-Nk of providing knowledge or proof of knowledge for a k-bit vector known as the prover P [54].…”

Section: Preliminariesmentioning

confidence: 99%

BL0K: A New Stage of Privacy-Preserving Scope for Location-Based Services

Albelaihy

Thayananthan

2019

Sensors

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Location-based services present an inherent challenge of finding the delicate balance between efficiency when answering queries and maintaining user privacy. Inevitable security issues arise as the server needs to be informed of the query location to provide accurate responses. Despite the many advancements in localization security in wireless sensor networks, servers can still be infected with malicious software. It is now possible to ensure queries do not generate any fake responses that may appear real to users. When a fake response is used, there are mechanisms that can be employed so that the user can identify the authenticity of the query. For this reason, this paper proposes Bloom Filter 0 Knowledge (BL0K), which is novel phase privacy method that preserves the framework for location-based service (LBS) and combines a Bloom filter and the Zero knowledge protocol. The usefulness of these methods has been shown for securing private user information. Analysis of the results demonstrated that BL0K performance is decidedly better when compared to the referenced approaches using the privacy entropy metric.

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Section: Preliminariesmentioning

confidence: 99%

BL0K: A New Stage of Privacy-Preserving Scope for Location-Based Services

Albelaihy

Thayananthan

2019

Sensors

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“…Zero Knowledge Proof (ZKP) makes a prover able to prove its identity to the verifier using a password without allowing anyone to learn anything about the password [12]. In authentication and digital signatures, it is very important to prove the user identification without revealing the user information [13].…”

Section: Introductionmentioning

confidence: 99%

Guillou-quisquater protocol for user authentication based on zero knowledge proof

Kusnardi¹,

Gunawan²

2019

TELKOMNIKA

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Authentication is the act of confirming the validity of someone's personal data. In the traditional authentication system, username and password are sent to the server for verification. However, this scheme is not secure, because the password can be sniffed. In addition, the server will keep the user's password for the authentication. This makes the system vulnerable when the database server is hacked. Zero knowledge authentication allows server to authenticate user without knowing the user's password. In this research, this scheme was implemented with Guillou-Quisquater protocol. Two login mechanisms were used: file-based certificate with key and local storage. Testing phase was carried out based on the Open Web Application Security Project (OWASP) penetration testing scheme. Furthermore, penetration testing was also performed by an expert based on Acunetix report. Three potential vulnerabilities were found and risk estimation was calculated. According to OWASP risk rating, these vulnerabilities were at the medium level.

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“…Most computer systems, Internet-based environments, and networks use password authentication [3]. Once a Password (PW) or One Time Password (OTP) which is valid for the only certain amount of time or one session [4] has been entered, the system looks up it in the password hash. If the stored password matches the entered password for the specified username, the user is authenticated in that system.…”

Section: Introductionmentioning

confidence: 99%

Dashboard of intelligent transportation system (ITS) using mobile agents strategy on notification authentication process

Allali¹,

Chaouch²,

Tamali³

2019

IJECE

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<p>Extracting accurate information from huge Transportation Database need to build efficiency Intelligent Transportation Systems ITS-Dashboard that should allow making correct decisions. The quality of decision and the achievement of performance depend on the quality of the information supplied. This information must be reliable, complete, pertinent and more to care about external attacks. Distributed Mobile Agent consists of autonomy of entities with capacities of perception, cooperation and action on their own environment. One of Agent function is the security of Authentication process by activation of notification system on Mobile Device. The main purpose of this paper is to make it consisting of an Agent Based Framework. The strategy is to exploit Mobile Agent capabilities in a Strict Notification Process when user validates his authentication request.</p>

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Password Authentication for multicast host using zero knowledge Proof

Cited by 3 publications

References 10 publications

BL0K: A New Stage of Privacy-Preserving Scope for Location-Based Services

BL0K: A New Stage of Privacy-Preserving Scope for Location-Based Services

Guillou-quisquater protocol for user authentication based on zero knowledge proof

Dashboard of intelligent transportation system (ITS) using mobile agents strategy on notification authentication process

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