An Improved Hashing Function for Human Authentication System

2013 ◽  
Vol 3 (2) ◽  
pp. 32-42
Author(s):  
Lamiaa M. El Bakrawy ◽  
Neveen I. Ghali
Keyword(s):  
Hash Function ◽  
Image Authentication ◽  
Inherent Limitation ◽  
Security Assurance ◽  
Feature Extraction And Selection ◽  
Authentication System ◽  
Five Phases ◽  
Hashing Function ◽  
False Rejection ◽  
Selection Phase

Biometrics have the great advantage of recognition based on an intrinsic aspect of a human being and thus requiring the person to be authenticated for physical presentation. Unfortunately, biometrics suffer from some inherent limitation such as high false rejection when the system works at a low false acceptation rate. In this paper, near set are implemented to improve the Standard Secure Hash Function SHA-1 (ISHA-1) for strict multi-modal biometric image authentication system. The proposed system is composed of five phases, starting from feature extraction and selection phase, hashing computing that uses the ISHA-1 phase, embedding watermark phase, extraction and decryption watermark phase, and finally the authentication phase. Experimental results showed that the proposed algorithm guarantees the security assurance and reduces the time of implementation.

scholarly journals A Study on the Optimization of Blockchain Hashing Algorithm Based on PRCA

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Jinhua Fu ◽  
Sihai Qiao ◽  
Yongzhong Huang ◽  
Xueming Si ◽  
Bin Li ◽  
...  
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Data Transmission ◽  
Reconfigurable Computing ◽  
Hash Function ◽  
Network Data ◽  
Supply Chain Finance ◽  
Hash Algorithm ◽  
Hashing Function ◽  
Hashing Algorithm

Blockchain is widely used in encrypted currency, Internet of Things (IoT), supply chain finance, data sharing, and other fields. However, there are security problems in blockchains to varying degrees. As an important component of blockchain, hash function has relatively low computational efficiency. Therefore, this paper proposes a new scheme to optimize the blockchain hashing algorithm based on PRCA (Proactive Reconfigurable Computing Architecture). In order to improve the calculation performance of hashing function, the paper realizes the pipeline hashing algorithm and optimizes the efficiency of communication facilities and network data transmission by combining blockchains with mimic computers. Meanwhile, to ensure the security of data information, this paper chooses lightweight hashing algorithm to do multiple hashing and transforms the hash algorithm structure as well. The experimental results show that the scheme given in the paper not only improves the security of blockchains but also improves the efficiency of data processing.

scholarly journals THREE –WAY SECURITY USING IMAGE BASED AUTHENTICATION SYSTEM

2016 ◽  
pp. 46-47
Author(s):  
SARIKA KHALADKAR ◽  
SARITA MALUNJKAR ◽  
POOJA SHINGOTE
Keyword(s):  
Instant Messaging ◽  
Image Authentication ◽  
Control Mechanisms ◽  
Authentication System ◽  
One Time Password ◽  
Personal Accounts ◽  
Brute Force Attack ◽  
The One ◽  
High Level ◽  
User Friendly

Secure environments protect their resources against unauthorized access by enforcing access control mechanisms. So when increasing security is an issue text based passwords are not enough to counter such problems. The need for something more secure along with being user friendly is required. This is where Image Based Authentication (IBA) comes into play. This helps to eliminate tempest attack, shoulder attack, Brute-force attack. Using the instant messaging service available in internet, user will obtain the One Time Password (OTP) after image authentication. This OTP then can be used by user to access their personal accounts. The image based authentication method relies on the user’s ability to recognize pre-chosen categories from a grid of pictures. This paper integrates Image based authentication and HMAC based one time password to achieve high level of security in authenticating the user over the internet.

A Grayscale Image Vulnerability Authentication System Based on Compressed Sensing

2015 ◽  
Vol 738-739 ◽  
pp. 533-537
Author(s):  
Xu Zhan ◽  
Yue Rong Lei ◽  
Hui Ming Zeng ◽  
Jian Ling Chen
Keyword(s):  
Compressed Sensing ◽  
Image Authentication ◽  
Singular Value ◽  
Grayscale Image ◽  
Arnold Transform ◽  
Edge Information ◽  
Observation Matrix ◽  
Image Edge ◽  
Authentication System ◽  
Value Decomposition

In this paper, we study compressed sensing algorithm and image authentication algorithm, present a grayscale image vulnerability authentication system based on compressed sensing. The system extracts the original grayscale image edge information by prewitt algorithm and observes the edge information by compressed sensing algorithm of OMP to generate the observation matrix . Then, the system scrambles the observation matrix by arnold transform algorithm and embeds it into the original grayscale image by singular value decomposition algorithm. We make experiment in order to test the system. The result is shown that the algorithm has good imperceptibility and can resist copying attack.

scholarly journals Efficient Privacy-Preserving Fingerprint-Based Authentication System Using Fully Homomorphic Encryption

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Taeyun Kim ◽  
Yongwoo Oh ◽  
Hyoungshick Kim
Keyword(s):  
Hash Function ◽  
Web Applications ◽  
Homomorphic Encryption ◽  
Privacy Preserving ◽  
Fingerprint Matching ◽  
Fully Homomorphic Encryption ◽  
Matching Process ◽  
Authentication System ◽  
Fingerprint Database ◽  
Fingerprint Data

To help smartphone users protect their phone, fingerprint-based authentication systems (e.g., Apple’s Touch ID) have increasingly become popular in smartphones. In web applications, however, fingerprint-based authentication is still rarely used. One of the most serious concerns is the lack of technology for securely storing fingerprint data used for authentication. Because scanned fingerprint data are not exactly the same each time, the use of a traditional cryptographic hash function (e.g., SHA-256) is infeasible to protect raw fingerprint data. In this paper, we present an efficient privacy-preserving fingerprint authentication system using a fully homomorphic encryption scheme in which fingerprint data are always stored and processed in an encrypted form. We implement a fully working fingerprint authentication system with a fingerprint database (containing 4,000 samples) using the Fast Fully Homomorphic Encryption over the Torus (TFHE) library. The proposed system can perform the fingerprint matching process within about 166 seconds (±0.564 seconds) on average.

A Color Image Authentication System

2013 ◽  
Vol 380-384 ◽  
pp. 2925-2929
Author(s):  
Yue Rong Lei ◽  
Xu Zhan ◽  
Ling Yan Du ◽  
Hui Ming Zeng ◽  
Jian Ling Chen
Keyword(s):  
Color Image ◽  
Image Authentication ◽  
Grayscale Image ◽  
Authentication Code ◽  
Low Frequencies ◽  
Dct Transform ◽  
Hash Algorithm ◽  
Authentication System ◽  
Illegal Copying ◽  
Embed Watermark

Image authentication has achieved a sharp attention now a day due to broad availability of internet services. Maldistribution and illegal copying of image volatiles the authenticity of image-ownership. In this regard the digital watermarking-based image authentication system is studied. A color image authentication system is proposed. This system converts a color image into a grayscale image, and divides the grayscale image into 8*8 small pieces. Each small piece is made into DCT transform and extracted low frequencies to form the watermark. Then, the original image uses LSB algorithm and hash algorithm in watermark image to form authentication code. The system makes the authentication code as watermark information to embed watermark. The system is made in experiment. The result shows the system has good imperceptibility.

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