Network Security Using ECC with Biometric

Mahto, Dindayal; Yadav, Dilip Kumar

doi:10.1007/978-3-642-37949-9_73

Cited by 10 publications

(8 citation statements)

References 10 publications

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“…Palm vein recognition also has some outstanding features like universality, permanence, uniqueness and accuracy. As we are using ECC, so we can achieve high level security with very shorter key size [14] . Thus it also solves the key size problem.…”

Section: Results and Merits Of Proposed Modelmentioning

confidence: 99%

Enhancing security of one-time password using Elliptic Curve Cryptography with biometrics for e-commerce applications

Mahto

Yadav

2015

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT)

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Security of one-time password (OTP) is essential because nowadays most of the e-commerce transactions are performed with the help of this mechanism. OTP is used to counter replay attack/eavesdropping. Replay attack or eavesdropping is one type of attacks on network-connected computing environment or isolated computing environment. For achieving 112 bits of security level, Rivest Shamir and Adleman (RSA) algorithm needs key size of 2048 bits, while Elliptic Curve Cryptography (ECC) needs key size of 224-255 bits. Another issue with most of the existing implementation of security models is storage of secret keys. Cryptographic keys are often kept in en-secured way that can either be guessed/social-engineered or obtained through brute force attacks. This becomes a weak link and leads integrity issues of sensitive data in a security model. To overcome the above problem, biometrics is combined with cryptography for developing strong security model. This paper suggests an enhanced security model of OTP system using ECC with palmvein biometric. This model also suggests better security with lesser key size than other prevalent public key crypto-model. The cryptographic keys are also not required to memorize or keep anywhere, these keys are generated as and when needed.

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Section: Results and Merits Of Proposed Modelmentioning

confidence: 99%

Enhancing security of one-time password using Elliptic Curve Cryptography with biometrics for e-commerce applications

Mahto

Yadav

2015

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT)

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“…As shown in Fig. 4, the palm vein architecture is used to authenticate users [13]. Several investigations based on the palm vein structure have been done in the last decade [14].…”

Section: ) 32 Study Populationsmentioning

confidence: 99%

“…Several investigations based on the palm vein structure have been done in the last decade [14]. An individual's vein pattern is established in utero, and no two people have identical palm vein patterns [13]. Inside the vein vessels, there is deoxidized hemoglobin that retains light with a frequency of typically (7.6*10.4mm) in the near infrared area [19].…”

Section: ) 32 Study Populationsmentioning

confidence: 99%

A Framework for Verification in Contactless Secure Physical Access Control and Authentication Systems

Mwangi¹

2022

IJCIT

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Biometrics is one of the very popular techniques in user identification for accessing institutions and logging into attendance systems. Currently, some of the existing biometric techniques such as the use of fingerprints are unpopular due to COVID-19 challenges. This paper identifies the components of a framework for secure contactless access authentication. The researcher selected 50 journals from Google scholar which were used to analyze the various components used in a secure contactless access authentication framework. The methodology used for research was based on the scientific approach of research methodology that mainly includes data collection from the 50 selected journals, analysis of the data and assessment of results. The following components were identified: database, sensor camera, feature extraction methods, matching and decision algorithm. Out of the considered journals the most used is CASIA database at 40%, CCD Sensor camera with 56%, Gabor feature extraction method at 44%, Hamming distance for matching at 100% and PCA at 100% was used for decision making. These findings will assist the researcher in providing a guide on the best suitable components. Various researchers have proposed an improvement in the current security systems due to integrity and security problems.

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“…In this tier, user authentication is provided. This requires a vein pattern (dorsal vein pattern), the MAC address, and the IP address of the host; it uses the ECC algorithm 35 via a trusted authority (TA) that authenticates users and provides a one‐time key (OTK) to access the network resources. Authentication is performed to avoid unnecessary loads from unauthorized users that could enter the network environment.…”

Section: System Modelmentioning

confidence: 99%

“…Elliptic curve cryptography (ECC) 35 was invented as a cryptography system and was released in 1985. It was independently developed by Victor Miller and Neal Koblitz.…”

Section: Introductionmentioning

confidence: 99%

A novel four‐tier software‐defined network architecture for scalable secure routing and load balancing

Hongvanthong

2021

Int J Communication

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Summary Software‐defined networking is an emerging paradigm for supporting flexible network management. In the traditional architecture for a software‐defined network (SDN), the controller commonly uses a general routing algorithm such as Open Shortest Path First (OSPF), which chooses the shortest path for communication. This may cause the largest amount of network traffic, especially in large‐scale environments. In this paper, we present the design for a novel SDN‐based four‐tier architecture for scalable secure routing and load balancing. In Tier 1, user authentication is conducted using elliptic curve cryptography (ECC); this avoids unnecessary loads from unauthorized users. In Tier 2, packet classification is performed based on the packet characteristics using the fuzzy analytical hierarchy process (fuzzy AHP), and packets are placed into three individual queues. In Tier 3, scalable secure routing is achieved by selecting the optimal path using the improved particle swarm optimization and ant colony optimization algorithms. With these optimization algorithms, we can adaptively change the number of users, the number of switches, and other parameters. In Tier 4, the recommended secure cluster (multicontroller) management is accomplished using an algorithm that employs modified k‐means clustering and a recurrent neural network. Deep reinforcement learning (DRL) is also proposed for updating the controller information. Experimental results are analyzed using the OMNeT++ network simulator, and the evaluated performance displayed improvement over a variety of existing methods in terms of response time (50% to 60%), load (55%), execution time (3.2%), throughput (9.8%), packet loss rate (1.02%), end‐to‐end delay (50%), and bandwidth consumption (45%).

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Network Security Using ECC with Biometric

Cited by 10 publications

References 10 publications

Enhancing security of one-time password using Elliptic Curve Cryptography with biometrics for e-commerce applications

Enhancing security of one-time password using Elliptic Curve Cryptography with biometrics for e-commerce applications

A Framework for Verification in Contactless Secure Physical Access Control and Authentication Systems

A novel four‐tier software‐defined network architecture for scalable secure routing and load balancing

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