Volume-11 , Issue-1 , Feb 2023, ISSN 2321-3256 (Electronic Version) Go Back

• Open Access   Article

  Three Hash Functions Comparison on Digital Holy Quran Integrity Verification

  H.S. Baqtian, N.M. Al-Aidroos

  Research Paper | Journal (IJSRNSC)

  Vol.11 , Issue.1 , pp.1-7, Feb-2023

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  Abstract
  This paper provides a study of hash functions comparison on holy Quran integrity verification to ensure integrity of data in digital copy of holy Quran. There are many methods available in data security area for integrity verification. This study presents a comparison of three cryptographic hash functions SHA256, RIPEMD160 and Blake3 which used to verify the integrity of digital holy Quran and determine which one is better. Blake3 hash function is chosen in this proposed schema because it has many characteristics, the most important of which is the speed characteristic, and it will be mentioned in detail in Background section. Furthermore security analysis and performance analysis are focused on this study. In security analysis by apply four experiments to find out the strength and effectiveness of each three hash functions and all possible possibilities of hash collisions be carefully analysed and studied. Speed in term of execution time is measuring for all three hash function and this is under the umbrella of the performance analysis. The results that we have obtained say that the Blake3 hash function is the fastest function with the rest two hash functions. And the resulting number of the time that the attacker need to come up with a fake verse using SHA256/BLAKE3 will be greater than the number obtained by using RIPEMD160.

  Key-Words / Index Term
  Integrity, Holy Quran, Hash functions, SHA256, RIPEMD160, Blake3.

  References
  
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  Citation
  H.S. Baqtian, N.M. Al-Aidroos, "Three Hash Functions Comparison on Digital Holy Quran Integrity Verification," International Journal of Scientific Research in Network Security and Communication, Vol.11, Issue.1, pp.1-7, 2023

• Open Access   Article

  Unlocking the Potential of Open and Distance Learning with Artificial Intelligence

  Parveen Singh, Meenakshi Handa, Anwar Ul Haq

  Research Paper | Journal (IJSRNSC)

  Vol.11 , Issue.1 , pp.8-11, Feb-2023

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  Abstract
  The integration of Artificial Intelligence (AI) in the field of education presents a vast array of possibilities, particularly for Open and Distance Learning (ODL) institutions. AI offers various ways for open universities to tackle challenges in areas such as learning, teaching effectiveness, and the advantages and limitations of computer-based systems in education, which are crucial for ODL institutions that heavily rely on human-machine interactions. Indira Gandhi Open University in India, has been utilizing information and communication technologies (ICTs), including AI, to enhance its operations and services for the past seven years. Although AI has not yet been fully implemented in education, IGNOU recognizes its potential to improve quality, pedagogy, and the overall teaching and learning experience. The purpose of this study is to explore how AI can be utilized in ODL institutions, with a focus on expert systems for program advising, automated class scheduling, assignment grading, plagiarism detection, learner retention and adaptation to diverse needs and backgrounds, property maintenance, and security. IGNOU is optimistic that AI has the potential to bring about a significant and positive transformation in ODL and shape the future of open and distance learners.

  Key-Words / Index Term
  AI, ODL, ICTs, IGNOU.

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  Citation
  Parveen Singh, Meenakshi Handa, Anwar Ul Haq, "Unlocking the Potential of Open and Distance Learning with Artificial Intelligence," International Journal of Scientific Research in Network Security and Communication, Vol.11, Issue.1, pp.8-11, 2023