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Ibrahim Zeghaiton Chaloob
Researcher at University of Fallujah
Publications - 10
Citations - 229
Ibrahim Zeghaiton Chaloob is an academic researcher from University of Fallujah. The author has contributed to research in topics: Fuzzy logic & Fuzzy number. The author has an hindex of 3, co-authored 7 publications receiving 130 citations. Previous affiliations of Ibrahim Zeghaiton Chaloob include Universiti Utara Malaysia.
Papers
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Journal ArticleDOI
Effectiveness of artificial intelligence techniques against cyber security risks apply of IT industry
TL;DR: The aim of the researcher was to determine the effectiveness of artificial intelligence techniques against cyber security risks particularly in case of Iraq and the quantitative method of research design along with primary data was opted.
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Application of a fuzzy multi-objective defuzzification method to solve a transportation problem
TL;DR: A novel approach to defuzzify fuzzy numbers using a modification of center of gravity COG method with multi-objective linear programming (LP) model to find the appropriate crisp value that satisfies all relationships and minimise the distance among this value and all values in the interval of fuzzy numbers.
Journal ArticleDOI
Optimized video internet of things using elliptic curve cryptography based encryption and decryption
Bilal Alhayani,Nagham Hamid,F. Almukhtar,Omar A. AlKawak,Hemant B. Mahajan,Ameer Sardar Kwekha Rashid,Haci Ilhan,Haydar Abdulameer Marhoon,Husam Jasim Mohammed,Ibrahim Zeghaiton Chaloob,Ahmed Alkhayyat +10 more
TL;DR: The adaptive Joint Photographic Experts Group 2000 (JPEG2000) image compression approach employing the wavelet image transform had proposed with the rise of the optimized Video Internet of Things (VIoT) using image transmission security using Elliptic Curve Cryptography (ECC) techniques as discussed by the authors .
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A new multi-interval weights approach in fuzzy goal programming for a multi-criteria problem
TL;DR: This study presents a new insight into multi-interval weights to solve linear multi-objective fuzzy GP problems by introducing interval weights associated with unwanted deviational variables to realise the aspired goal levels of the problem.
Proceedings ArticleDOI
A defuzzification approach to solve a multi-objective programming problem with fuzzy parameters
TL;DR: New insights are presented of solving the same problem by a defuzzification approach that is able to produce specific optimal solutions of the objective functions in specified intervals.