College of Computer Science and Mathematics

Discussion of a Doctorial Dissertation  in the College of Computer Science and Mathematics – Department of Mathematics Sciences entitled:

“ Hybrid Computational Numerical Optimization Algorithms for Chaotic Data Encryption “

In continuation of the scientific research movement and with the follow-up and presence of the Dean of the College of Computer Science and Mathematics

   Prof. Dr. Duha Bashir Abdullah The esteemed

It was discussed in the discussion room at the Faculty of Computer Science and Mathematics at the University of Mosul on Wednesday  3-4-2024

Doctorial Dissertation by student Mustafa Ayham Abdulhafedh Bashir

, under the supervision of    Prof. Dr. Ban Ahmad Hassan Mitras

Intelligent algorithms which are rooted in ideas and on various mechanisms of the natural intelligence, from human thinking process to some find myself among pillars one for many modern technologies as well. Among intelligent algorithms, the field of information security is one that has been most developed. Today’s information is a valuable asset, which requires more than the typical level of security. The idea of information safety has been presented to all the fields from big companies to personal relationships. Studies nowadays place emphasis on the need to maintain confidentiality of information and individual private details. This study directs smart algorithms meant for drive encryption.

The first approach comprises of taking the NGOA and applying fuzzy logic to it in order to generate a new algorithm, called F_NGOA. This is achieved by replacing the basic parameters in such algorithms and directing a more randomly turbulent quality of them with fuzzy logic FL, for better results.

• The first approach is through the use of equations in optimization.
• The second approach is to use communities of solutions for improvement.

This improvement has been applied to the following algorithms:

The initial algorithm is the Black Widow Algorithm (BWOA) in combination with the Fuzzy Northern Goshawk Algorithm (F_NGOA) and a new formation of an algorithm called (F_NGOA _ BWOA).

The second algorithm is (LHHO) with an F_NGOA and a new intelligent scheme named (F_NGOA_LHHO).

The third algorithm is Whale Algorithm (WOA) along with the fuzzy northern goshawk (F_NGOA), and introduce a proposed model by (F_NGOA _WOA).

The three algorithms suggested in this study will unquestionably prove that they are efficient and contribute to enhancing the outcomes, as well as improving the way accuracy of solution resulting into minimization time taken for approaching optimal resolution.

The third trend in this research was to create intelligent algorithms for encryption, based on the above hybrid aforementioned that worked exclusively in encrypting information and choosing the appropriate locations for inserting messages into them by generating optimal keys with an object of decoding after extraction.

Lastly, it was found that encoding and full recovery of information were performed with a high level of accuracy without any error or deficiency. Coding is measured in two main ways which are signal to noise ratio PSNR and mean squared error MSE for quality measurement.

The scientific committee included the following members:

• Dr. Omar .S. Qasim – Chairman .
• Dr. Ghada Moayid Al-Naemi – Member.
• Dr. Hamsa Tharwat Saeed – Member.
• Dr. Nizar Khalaf Hussein – Member
• Prof. Dr. Naeam Abd Al muneim Abd Almajid – Member .
• Dr. Ban Ahmad Hassan Mitras – Member and Supervisor .