Secure Mobile Computing Authentication Utilizing Hash, Cryptography and Steganography Combination

Alotaibi, Muneera; Al-hendi, Daniah; Al-Roithy, Budoor Obid; Ghamdi, Manal Al; Gutub, Adnan

doi:10.26735/16587790.2019.001

Cited by 29 publications

(12 citation statements)

References 11 publications

(31 reference statements)

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“…In fact, this function is used to convert the words that are generated by the N-Gram method into integer numbers, which speed up the comparison process and the alignment. Although the H-NGH algorithm enhances the time performance of the NGH algorithm, the accuracy is decreased, which is following the Hashing philosophy [32], but for pure security, similar to Hashing text authentication [33] and mobile trust verification [34].…”

Section: Dynamic-programming-based Methodsmentioning

confidence: 99%

Efficient computation of Hash Hirschberg protein alignment utilizing hyper threading multi‐core sharing technology

Abu-Hashem

Gutub

2021

CAAI Trans on Intel Tech

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Due to current technology enhancement, molecular databases have exponentially grown requesting faster efficient methods that can handle these amounts of huge data. Therefore, Multi-processing CPUs technology can be used including physical and logical processors (Hyper Threading) to significantly increase the performance of computations. Accordingly, sequence comparison and pairwise alignment were both found contributing significantly in calculating the resemblance between sequences for constructing optimal alignments. This research used the Hash Table-NGram-Hirschberg (HT-NGH) algorithm to represent this pairwise alignment utilizing hashing capabilities. The authors propose using parallel shared memory architecture via Hyper Threading to improve the performance of molecular dataset protein pairwise alignment. The proposed parallel hyper threading method targeted the transformation of the HT-NGH on the datasets decomposition for sequence level efficient utilization within the processing units, that is, reducing idle processing unit situations. The authors combined hyper threading within the multicore architecture processing on shared memory utilization remarking performance of 24.8% average speed up to 34.4% as the highest boosting rate. The benefit of this work improvement is shown preserving acceptable accuracy, that is, reaching 2.08, 2.88, and 3.87 boost-up as well as the efficiency of 1.04, 0.96, and 0.97, using 2, 3, and 4 cores, respectively, as attractive remarkable results.

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Section: Dynamic-programming-based Methodsmentioning

confidence: 99%

Efficient computation of Hash Hirschberg protein alignment utilizing hyper threading multi‐core sharing technology

Abu-Hashem

Gutub

2021

CAAI Trans on Intel Tech

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“…Figure 7, shows our proposed methodology graphical CAPTCHA to illustrate this usability feature. This contradiction between distortion and robotic guessing made our proposed methodology have less distorted CAPTCHA images, but protected combining cryptography and hashing (Alotaibi et al, 2019) different than HSV colour space image security (Hassan & Gutub, 2021). Table 4 shows our list of images with user selection speed for proper CAPTCHA images.…”

Section: Ms Faster Than Others 40 Char S Hashmentioning

confidence: 99%

Engineering Graphical Captcha and AES Crypto Hash Functions for Secure Online Authentication

Kheshaifaty

Gutub

2021

JER is an international, peer-reviewed journal that publishes f

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Password alone is currently not trusted for user online authentication and security as threats from hackers continue to grow, requiring highly efficient defense safeguard protection against unauthorized users. Therefore, CAPTCHA techniques came into the picture as an automated assistance to distinguish between humans and robots. The CAPTCHA has several applications in the online security domain requiring to be merged with encrypted hash function benefitting from the facility of the graphical password schemes. This paper proposes engineering an authentication technique using graphical CAPTCHA with an AES encrypted hash password to maintain applicable security accessing systems. We propose three layered security system that joins highly efficient security mechanisms to avoid users’ stress of entering password many times or different other hectic routines in order to save account accessing.

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“…While the technique is complex and has less payload. In 2019, Alotaibi et al [ 85 ] have proposed a secure framework for safe data transmission in mobile devices using hash, cryptography, and steganography. The proposed method has used a hash function for storing the secret password, cryptography with AES method for encrypting password, and LSB method for hiding encrypted password into an image.…”

Section: Literature Surveymentioning

confidence: 99%

Double layer security using crypto-stego techniques: a comprehensive review

et al. 2021

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Recent advancement in the digital technology and internet has facilitated usage of multimedia objects for data communication. However, interchanging information through the internet raises several security concerns and needs to be addressed. Image steganography has gained huge attention from researchers for data security. Image steganography secures the data by imperceptibly embedding data bits into image pixels with a lesser probability of detection. Additionally, the encryption of data before embedding provides double-layer protection from the potential eavesdropper. Several steganography and cryptographic approaches have been developed so far to ensure data safety during transmission over a network. The purpose of this work is to succinctly review recent progress in the area of information security utilizing combination of cryptography and steganography (crypto-stego) methods for ensuring double layer security for covert communication. The paper highlights the pros and cons of the existing image steganography techniques and crypto-stego methods. Further, a detailed description of commonly using evaluations parameters for both steganography and cryptography, are given in this paper. Overall, this work is an attempt to create a better understanding of image steganography and its coupling with the encryption methods for developing state of art double layer security crypto-stego systems.

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Secure Mobile Computing Authentication Utilizing Hash, Cryptography and Steganography Combination

Cited by 29 publications

References 11 publications

Efficient computation of Hash Hirschberg protein alignment utilizing hyper threading multi‐core sharing technology

Efficient computation of Hash Hirschberg protein alignment utilizing hyper threading multi‐core sharing technology

Engineering Graphical Captcha and AES Crypto Hash Functions for Secure Online Authentication

Double layer security using crypto-stego techniques: a comprehensive review

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