Negative Authentication Systems

Dasgupta, Dipankar; Roy, Arunava; Nag, Abhijit Kumar

doi:10.1007/978-3-319-58808-7_3

Cited by 8 publications

(7 citation statements)

References 11 publications

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“…Similarly, the Dendritic Cell algorithm is another example of an Immune algorithm that works in musicale and layered. Few applications in cloud security domains that use Immune algorithms include Identity and Authentication [21], [22], Protocol and Network Security [23]. Figure 2 demonstrates the evolution of nature-inspired algorithms over time in cloud security.…”

Section: Immune Algorithmsmentioning

confidence: 99%

“…However, authentication research using SI did not explore that much. Still, some of the notable works that draw attention is as follows: the author(s) in [17] used Particle Swarm for palm and face identity; [18] used Immune algorithms for signature identification; [21], [22], [36], [37] developed a negative authentication system using Negative Selection algorithms. Apart from this, some studies also distilled promising results for the authentication process considering the GA based approach with adaptive selections [34], [38].…”

Section: Literature Review a Identity And Authentication Securitymentioning

confidence: 99%

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Applications and Evaluations ofBio-InspiredApproaches in Cloud Security: A Review

et al. 2020

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Cloud computing gained much popularity in the recent past due to its many internet-based services related to data, application, operating system, and eliminating the need for central hardware access. Many of the challenges associated with cloud computing can be specified as network load, security intrusion, authentication, biometric identification, and information leakage. Numerous algorithms have been proposed and evaluated to solve those challenges. Among those, bio-inspired algorithms such as Evolutionary, Swarm, Immune, and Neural algorithms are the most prominent ones which are developed based on nature's ecosystems. Bio-inspired algorithms' adaptability allows many researchers and practitioners to utilize them to solve many security-related cloud computing issues. This paper aims to explore previous research, recent studies, challenges, and scope for further analysis of cloud security. Therefore, this study provides an overview of bio-inspired algorithms application and evaluations, taking into account cloud security challenges,

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Section: Immune Algorithmsmentioning

confidence: 99%

Section: Literature Review a Identity And Authentication Securitymentioning

confidence: 99%

Applications and Evaluations ofBio-InspiredApproaches in Cloud Security: A Review

et al. 2020

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“…This profile represents the negative abstraction of valid credentials and is the problem specific realization of the negative database described by [14]. This negative authentication for a system login application has been tested successfully workable [8]. This negative ap- proach has some benefits over the traditional positive authentication approach.…”

Section: Figmentioning

confidence: 99%

Design and implementation of Negative Authentication System

Dasgupta

Nag

Ferebee

et al. 2017

Int. J. Inf. Secur.

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The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters.Abstract Modern society is mostly dependent on online activities like official or social communications, fund transfers and so on. Unauthorized system access is one of the utmost concerns than ever before in cyber systems. For any cyber system, robust authentication is an absolute necessity for ensuring security and reliable access to all type of transactions. However, more than 80% of the current authentication systems are password based, and surprisingly, they are prone to direct and indirect cracking via guessing or side channel attacks. The inspiration of Negative Authentication System (NAS) is based on the negative selection algorithm. In NAS, the password based authentication data for valid users is termed as password profile or self-region (positive profile); any element other than the self-region is de-fined as non-self-region in the same representative space. The anti-password detectors are generated which covers most of the non-self-region. There are also some uncovered regions left in the non-self-region for inducing uncertainty to the attackers. In this work, we describe the design and implementation of three approaches of NAS and its efficacy over the other authentication methods. These three approaches represent three different ways to achieve obfuscation of password points with non-password space. The experiments are conducted with both real and simulated password profiles to justify the efficiency of different implementations of NAS.

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“…Nowadays, the NDB has been applied to privacy protection [2,6], information hiding [7], authentication system [8], sensitive data collection [9], biometric template security [10], secure multi-party computation [5], privacy preserving data mining [11] and privacy preserving data publication [12]. If an NDB can be reversed to the hidden DB in polynomial time, it is said to be easy-to-reverse, otherwise it is said to be hard-toreverse.…”

Section: Introductionmentioning

confidence: 99%

“…According to lemma 4, we can assume m the K-hidden algorithm. Then we obtain n 2,0 = n 2,2 by combining(8) and m 0 = m Therefore…”

mentioning

confidence: 96%

A fine-grained algorithm for generating hard-toreverse negative databases

Zhao

Luo

Liu

et al. 2015

2015 International Workshop on Artificial Immune Systems (AIS)

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The negative database (NDB) is a new technique for privacy preserving and information hiding. It hides information by storing the complementary set instead of the original data. In order to protect the hidden information, NDBs should be hard-to-reverse. In this paper, we propose the Khidden algorithm for generating hard-to-reverse NDBs (called Khidden-NDBs). The K-hidden algorithm could be controlled in a more fine-grained manner than existing NDB generation algorithms. Moreover, in terms of the SAT solvers based on the local search strategy, we formally prove that the K-hidden-NDBs could be more hard-to-reverse than the NDBs generated by the typical p-hidden algorithm. Furthermore, we show that the Khidden-NDB could be more hard-to-reverse (against the local search strategy) than the q-hidden-NDB (NDBs generated by the q-hidden algorithm) when the sizes of NDBs are the same. Finally, as for the Unit Clause heuristic solvers, we prove that the K-hidden-NDB could be the same hard-to-reverse as the qhidden-NDB.

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Negative Authentication Systems

Cited by 8 publications

References 11 publications

Applications and Evaluations ofBio-InspiredApproaches in Cloud Security: A Review

Applications and Evaluations ofBio-InspiredApproaches in Cloud Security: A Review

Design and implementation of Negative Authentication System

A fine-grained algorithm for generating hard-toreverse negative databases

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