Hazem M. Bahig

Prof. Hazem M. Bahig

University of Ha'il, Ha'il, Saudi Arabia
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Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2014
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ANAbderrahmane Nitaj
Abderrahmane Nitaj
MAMuhammad Rezal Kamel Ariffin
Muhammad Rezal Kamel Ariffin
DNDieaa I. Nassr
Dieaa I. Nassr
HBHatem M. Bahig
Hatem M. Bahig

5 September 2018 in Arabian Journal for Science and Engineering
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Journal Article
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HBHatem M. Bahig
Hatem M. Bahig
DNDieaa I. Nassr
Dieaa I. Nassr

22 December 2016 in BMC Bioinformatics
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Journal Article
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MAMostafa M. Abbas
Mostafa M. Abbas
HBHatem M. Bahig
Hatem M. Bahig
Restriction site analysis involves determining the locations of restriction sites after the process of digestion by reconstructing their positions based on the lengths of the cut DNA. Using different reaction times with a single enzyme to cut DNA is a technique known as a partial digestion. Determining the exact locations of restriction sites following a partial digestion is challenging due to the computational time required even with the best known practical algorithm. In this paper, we introduce an efficient algorithm to find the exact solution for the partial digest problem. The algorithm is able to find all possible solutions for the input and works by traversing the solution tree with a breadth-first search in two stages and deleting all repeated subproblems. Two types of simulated data, random and Zhang, are used to measure the efficiency of the algorithm. We also apply the algorithm to real data for the Luciferase gene and the E. coli K12 genome. Our algorithm is a fast tool to find the exact solution for the partial digest problem. The percentage of improvement is more than 75% over the best known practical algorithm for the worst case. For large numbers of inputs, our algorithm is able to solve the problem in a suitable time, while the best known practical algorithm is unable.

10 September 2022 in Symmetry
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HBHatem M. Bahig
Hatem M. Bahig
DNDieaa I. Nassr
Dieaa I. Nassr
MMMohammed Abdo Mahdi
Mohammed Abdo Mahdi
HBHatem M. Bahig
Hatem M. Bahig
The RSA (Rivest–Shamir–Adleman) asymmetric-key cryptosystem is widely used for encryptions and digital signatures. Let (n,e) be the RSA public key and d be the corresponding private key (or private exponent). One of the attacks on RSA is to find the private key d using continued fractions when d is small. In this paper, we present a new technique to improve a small private exponent attack on RSA using continued fractions and multicore systems. The idea of the proposed technique is to find an interval that contains ϕ(n), and then propose a method to generate different points in the interval that can be used by continued fraction and multicore systems to recover the private key, where ϕ is Euler’s totient function. The practical results of three small private exponent attacks on RSA show that we extended the previous bound of the private key that is discovered by continued fractions. When n is 1024 bits, we used 20 cores to extend the bound of d by 0.016 for de Weger, Maitra-Sarkar, and Nassr et al. attacks in average times 7.67 h, 2.7 h, and 44 min, respectively.

24 August 2017 in Arabian Journal for Science and Engineering
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KFKhaled A. Fathy
Khaled A. Fathy
HBHatem M. Bahig
Hatem M. Bahig
ARA. A. Ragab
A. A. Ragab

22 November 2013 in Mathematics in Computer Science
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MAMostafa M. Abbass
Mostafa M. Abbass
HBHatem M. Bahig
Hatem M. Bahig