IDEAS home Printed from https://ideas.repec.org/a/aag/wpaper/v27y2023i3p72-85.html

Novel Standard Polynomial as New Mathematical Basis for Digital Information Encryption Process

Author

Listed:
  • Wisam Abed Shukur

    (Department of Computer Science, University of Baghdad, College of Education for Pure Sciences, Ibn Al–Haitham, Baghdad, Iraq)

  • Zaid M. Jawad Kubba

    (Department of Computer Science, University of Baghdad, College of Education for Pure Sciences, Ibn Al–Haitham, Baghdad, Iraq)

  • Saif Saad Ahmed

    (Department of Computer Science, University of Baghdad, College of Education for Pure Sciences, Ibn Al–Haitham, Baghdad, Iraq)

Abstract

[Objective] The proposed approach is based on producing new irreducible polynomials that help reduce the drawbacks of traditional cryptosystems. This work demonstrates the proposed model's efficiency and applicability, which could help researchers and practitioners investigate the proposed model in different cryptosystems and other related systems. In addition, the structure of the proposed polynomial function can be implemented in different cryptosystems with lightweight processing. The primary objective of this work is to present an efficient irreducible polynomial equation that can be implemented with lightweight cryptosystems. [Methodology] The proposed work is based on computing an irreducible polynomial, which is no more than two power multiplications. The structure of the proposed irreducible polynomial is carried out by using the exhaustive search approach and experiment. The mathematical function of the new standard polynomial is applied to generate a vital sequence of the proposed cipher algorithm. Various quantitative and statistical methods are applied to decision sciences at the individual and population levels. [Findings] The generated sequence keys are examined and analyzed using different statistical tests. The analysis output showed a significant random behavior of the generated sequence keys of the proposed cipher algorithm compared with the original cipher algorithm. [Novelty] This work considers a new approach based on the results, the proposed model's originality, and uniqueness in the literature. This work introduced a new standard polynomial function for a lightweight cipher algorithm that was implemented to develop a new lightweight cryptosystem for the digital information encryption process. The current cryptosystems suffer from computational complexity, which exceeds the quadratic power multiplication. Thus, this work presented a new design of the digital information encryption process, which contributed to solving traditional cryptosystems' cost and performance problems.

Suggested Citation

  • Wisam Abed Shukur & Zaid M. Jawad Kubba & Saif Saad Ahmed, 2023. "Novel Standard Polynomial as New Mathematical Basis for Digital Information Encryption Process," Advances in Decision Sciences, Asia University, Taiwan, vol. 27(3), pages 72-85, September.
  • Handle: RePEc:aag:wpaper:v:27:y:2023:i:3:p:72-85
    as

    Download full text from publisher

    File URL: https://iads.site/novel-standard-polynomial-as-new-mathematical-basis-for-digital-information-encryption-process/
    Download Restriction: no

    File URL: https://iads.site/wp-content/uploads/2024/01/Novel-Standard-Polynomial-as-New-Mathematical-Basis-for-Digital-Information-Encryption-Process.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nguyen Duy Suu & Ho Thuy Tien & Wing-Keung Wong, 2021. "The Impact Of Capital Structure And Ownership On The Performance Of State Enterprises After Equitization: Evidence From Vietnam," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 1-22, June.
    2. Fa-Hsiang Chang & Lin Zhang, 2022. "Revisiting Inflation-Growth Nexus: An Endogenous Growth Model With Financial Frictions," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-13, March.
    3. Waheed Ali & Raheel Gohar & Bisharat Hussain Chang & Wing-Keung Wong, 2022. "Revisiting the impacts of globalization, renewable energy consumption, and economic growth on environmental quality in South Asia," Advances in Decision Sciences, Asia University, Taiwan, vol. 26(3), pages 75-98, September.
    4. Carolyn Chisadza & Mduduzi Biyase, 2023. "Financial Development and Income Inequality: Evidence From Advanced, Emerging and Developing Economies," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 1-27, March.
    5. Faisal Mahmood & Umeair Shahzad & Ali Nazakat & Zahoor Ahmed & Husam Rjoub & Wing-Keung Wong, 2022. "The Nexus Between Cash Conversion Cycle, Working Capital Finance, And Firm Performance: Evidence From Novel Machine Learning Approaches," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 1-44, June.
    6. Nadia Arfaoui & Imran Yousaf, 2022. "Impact Of Covid-19 On Volatility Spillovers Across International Markets: Evidence From Var Asymmetric Bekk Garch Model," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-25, March.
    7. Zhidong Bai & Hua Li & Michael McAleer & Wing-Keung Wong, 2015. "Stochastic dominance statistics for risk averters and risk seekers: an analysis of stock preferences for USA and China," Quantitative Finance, Taylor & Francis Journals, vol. 15(5), pages 889-900, May.
    8. Zhidong Bai & Yongchang Hui & Dandan Jiang & Zhihui Lv & Wing-Keung Wong & Shurong Zheng, 2018. "A new test of multivariate nonlinear causality," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-14, January.
    9. Faisal Abbas & Shoaib Ali & Wing-Keung Wong, 2022. "Impact Of Economic Freedom And Its Subcomponents On Commercial Banks’ Risk-Taking," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 1-30, September.
    10. Do Thi Thanh Nhan & Kim-Hung Pho & Dang Thi Van Anh & Michael Mcaleer, 2021. "Evaluating The Efficiency Of Vietnam Banks Using Data Envelopment Analysis," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 1-17, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Xiang & Yin, Jian & Yang, Yao & Muda, Iskandar & Abduvaxitovna, Shamansurova Zilola & AlWadi, Belal Mahmoud & Castillo-Picon, Jorge & Abdul-Samad, Zulkiflee, 2023. "Relationship between the resource curse, Forest management and sustainable development and the importance of R&D Projects," Resources Policy, Elsevier, vol. 85(PA).
    2. Yang, Haili & Zou, Jiantao & Luo, Yueyue & Wang, Yuan & Qiu, Yunhua & Guo, Hao, 2024. "The role of fintech, natural resources, and energy use in shaping environmental sustainability in China: A QARDL perspective," Resources Policy, Elsevier, vol. 89(C).
    3. Deng, Ying & Cao, Zhitao & Yang, Na, 2024. "Understanding the nexus between fintech, natural resources, green investment, and environmental sustainability in China: A DYNARDL approach," Resources Policy, Elsevier, vol. 91(C).
    4. Li, Aihong & Li, Shuyan & Chen, Shuai & Sun, Xiaoqin, 2024. "The role of Fintech, natural resources, and renewable energy consumption in Shaping environmental sustainability in China: A NARDL perspective," Resources Policy, Elsevier, vol. 88(C).
    5. Wang, Feipeng & Wong, Wing-Keung & Wang, Zheng & Albasher, Gadah & Alsultan, Nouf & Fatemah, Ambreen, 2023. "Emerging pathways to sustainable economic development: An interdisciplinary exploration of resource efficiency, technological innovation, and ecosystem resilience in resource-rich regions," Resources Policy, Elsevier, vol. 85(PA).
    6. Wei, Xuecheng & Hu, Weihua, 2023. "Revisiting resources curse hypothesis in China: Exploring the asymmetric effect of green investment and green innovation," Resources Policy, Elsevier, vol. 85(PB).
    7. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    8. Feng, Jie & Gao, Junhong, 2023. "Natural resource curse hypothesis and governance: Understanding the role of rule of law and political risk in the context of China," Resources Policy, Elsevier, vol. 85(PB).
    9. Pu, Ganlin & Wong, Wing-Keung & Du, Qiang & Al Shraah, Ata & Alromaihi, Abdullah & Muda, Iskandar, 2024. "Asymmetric impact of natural resources, fintech, and digital banking on climate change and environmental sustainability in BRICS countries," Resources Policy, Elsevier, vol. 91(C).
    10. He, Bo & Jie, Wen & He, Haihong & Alsubih, Majed & Arnone, Gioia & Makhmudov, Samariddin, 2024. "From resources to resilience: How green innovation, fintech and natural resources shape sustainability in OECD countries," Resources Policy, Elsevier, vol. 91(C).
    11. Gong, Xiaohui & Wong, Wing-Keung & Peng, Yiling & Khamdamov, Shoh-Jakhon & Albasher, Gadah & Hoa, Vu Tam & Thanh Nhan, Nguyen Thi, 2023. "Exploring an interdisciplinary approach to sustainable economic development in resource-rich regions: An investigation of resource productivity, technological innovation, and ecosystem resilience," Resources Policy, Elsevier, vol. 87(PA).
    12. Yu, Dan & Wang, Shenghu & Yi, Yuting & Ren, Yu, 2024. "The role of fintech, natural resources and trade policy uncertainty towards SDGs in China: New insights from nonlinear approach," Resources Policy, Elsevier, vol. 91(C).
    13. Zhang, Mingming & Wong, Wing-Keung & Kim Oanh, Thai Thi & Muda, Iskandar & Islam, Saiful & Hishan, Sanil S. & Abduvaxitovna, Shamansurova Zilola, 2023. "Regulating environmental pollution through natural resources and technology innovation: Revisiting the environment Kuznet curve in China through quantile-based ARDL estimations," Resources Policy, Elsevier, vol. 85(PA).
    14. Xu, Anfeng & Jin, Lei & Yang, Jingzi, 2024. "Balancing tourism growth, Fintech, natural resources, and environmental sustainability: Findings from top tourist destinations using MMQR approach," Resources Policy, Elsevier, vol. 89(C).
    15. Wu, Yingjia & Cao, Nannan & Muda, Iskandar & Rady, Ahmed & Abduvaxitovna, Shamansurova Zilola, 2024. "Financial development and natural resource nexus: Evaluating the importance of mineral in BRICS economies," Resources Policy, Elsevier, vol. 89(C).
    16. Dong, Yangzi & Wong, Wing-Keung & Muda, Iskandar & Cong, Phan The & Duong Hoang, Anh & Ghardallou, Wafa & Ha, Ngo Ngan, 2023. "Do natural resources utilization and economic development reduce greenhouse gas emissions through consuming renewable and Clean Technology? A case study of China towards sustainable development goals," Resources Policy, Elsevier, vol. 85(PB).
    17. Wang, Xiaoran & Ibrahim, Haslindar, 2024. "Unveiling the effects of mineral markets, fintech and governance on business performance: Evidence from China," Resources Policy, Elsevier, vol. 91(C).
    18. Song, Yi & Hao, Yuqing, 2024. "Understanding the relationship between Fintech, Natural Resources, Green Finance, and Environmental Sustainability in China: A BARDL approach," Resources Policy, Elsevier, vol. 89(C).
    19. Ze, Fu & Wong, Wing-Keung & Alhasan, Tariq kamal & Al Shraah, Ata & Ali, Anis & Muda, Iskandar, 2023. "Economic development, natural resource utilization, GHG emissions and sustainable development: A case study of China," Resources Policy, Elsevier, vol. 83(C).
    20. Ahmed, Mansoora & Khaskheli, Asadullah & Raza, Syed Ali & Hassan, M. Kabir, 2024. "Eco-tech fusion: Unraveling the nonparametric causal effects of fintech, natural resources, digital infrastructure, and economic growth on environmental sustainability from a quantile perspective," Resources Policy, Elsevier, vol. 98(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aag:wpaper:v:27:y:2023:i:3:p:72-85. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Vincent Pan (email available below). General contact details of provider: https://edirc.repec.org/data/dfasitw.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.