Cryptography, Data mining, Machine Learning, Image processing
7
Scopus Publications
148
Scholar Citations
8
Scholar h-index
6
Scholar i10-index
Scopus Publications
Leveraging Feature Fusion and Convolutional Neural Networks for Concrete Crack Prediction Amal Abdulbaqi Maryoosh, Saeid Pashazadeh, Pedram Salehpour Baghdad Science Journal, 2026 Detection of cracks in concrete is crucial for the safety of bridges and the overall infrastructure. This paper presents a new hybrid method that combines handcrafted and deep features to significantly improve classification accuracy. Texture and semantic information are captured using Local Binary Patterns (LBP) and a pre-trained Xception model, respectively. These features are converted by the Bag of Visual Words (BoVW) method, combined, and the best features are selected by using the Apriori algorithm. The selected features are classified utilizing the light MobileNetV3, a large network. Our method is tested on four public datasets, namely CODEBRIM, DIMEC, Crack, BCD, and Bridge, using 10, fold cross, validation. The model we introduced has drastically diminished the error rate by less than 1%. Furthermore, it performed well on the accuracy metric, achieving scores of 0.9995, 0.9983, 0.9998, and 0.9993, respectively. Precision values reached 0.9998, 1.0000, 1.0000, and 0.9991, while recall figures stood at 0.9995, 0.9938, 0.9998, and 0.9986 for these same datasets. Compared to other deep learning models trained on the same datasets, our model shows highly encouraging and promising outcomes.
A Hybrid Learning Framework for Enhancing Bridge Damage Prediction Amal Abdulbaqi Maryoosh, Saeid Pashazadeh, Pedram Salehpour Applied System Innovation, 2025 Bridges are crucial structures for transportation networks, and their structural integrity is paramount. Deterioration and damage to bridges can lead to significant economic losses, traffic disruptions, and, in severe cases, loss of life. Traditional methods of bridge damage detection, often relying on visual inspections, can be challenging or impossible in critical areas such as roofing, corners, and heights. Therefore, there is a pressing need for automated and accurate techniques for bridge damage detection. This study aims to propose a novel method for bridge crack detection that leverages a hybrid supervised and unsupervised learning strategy. The proposed approach combines pixel-based feature method local binary pattern (LBP) with the mid-level feature bag of visual words (BoVW) for feature extraction, followed by the Apriori algorithm for dimensionality reduction and optimal feature selection. The selected features are then trained using the MobileNet model. The proposed model demonstrates exceptional performance, achieving accuracy rates ranging from 98.27% to 100%, with error rates between 1.73% and 0% across multiple bridge damage datasets. This study contributes a reliable hybrid learning framework for minimizing error rates in bridge damage detection, showcasing the potential of combining LBP–BoVW features with MobileNet for image-based classification tasks.
Image confusion and diffusion based on multi-chaotic system and mix-column Amal Abdulbaqi Maryoosh, Zahraa Salah Dhaif, Raniah Ali Mustafa Bulletin of Electrical Engineering and Informatics, 2021 In this paper, a new image encryption algorithm based on chaotic cryptography was proposed. The proposed scheme was based on multiple stages of confusion and diffusion. The diffusion process was implemented twice, first, by permuting the pixels of the plain image by using an Arnold cat map and, the second time by permuting the plain image pixels via the proposed permutation algorithm. The confusion process was performed many times, by performing the XOR operation between the two resulted from permuted images, subtracted a random value from all pixels of the image, as well as by implementing the mix column on the resulted image, and by used the Lorenz key to obtain the encrypted image. The security analysis tests that used to exam the results of this encryption method were information entropy, key space analysis, correlation, histogram analysis UACI, and NPCR have shown that the suggested algorithm has been resistant against different types of attacks.
A new block cipher for image encryption based on multi chaotic systems Donia Fadhil Chalob, Amal Abdulbaqi Maryoosh, Zainab Mohammed Esa, Elaf Nassir Abbud Telkomnika Telecommunication Computing Electronics and Control, 2020 In this paper, a new algorithm for image encryption is proposed based on three chaotic systems which are Chen system,logistic map and two-dimensional (2D) Arnold cat map. First, a permutation scheme is applied to the image, and then shuffled image is partitioned into blocks of pixels. For each block, Chen system is employed for confusion and then logistic map is employed for generating subsititution-box (S-box) to substitute image blocks. The S-box is dynamic, where it is shuffled for each image block using permutation operation. Then, 2D Arnold cat map is used for providing diffusion, after that XORing the result using Chen system to obtain the encrypted image.The high security of proposed algorithm is experimented using histograms, unified average changing intensity (UACI), number of pixels change rate (NPCR), entropy, correlation and keyspace analyses.
Block image encryption based on modified playfair and chaotic system Ekhlas Abbas Albahrani, Amal Abdulbaqi Maryoosh, Sadeq H. Lafta Journal of Information Security and Applications, 2020 A new image encryption was done through using chaotic theory in the diffusion and confusion processes. Diffusion process was performed by using the chaotic cross map to permutate the matrix of each image color channel. Confusion process was implemented by a modified Playfair algorithm to generalize the classical one. Playfair algorithm divides the original text of characters into blocks, where each block usually contains two-character. The main limitations of Playfair cipher are that: it encrypts only 25 characters and one cannot use special characters and numbers. In addition, keyword can only take 25 letters alone without duplicates. The new method uses two cross chaotic maps to generate 16×16 playfair matrix as a key. The image is partitioned into a definite number of blocks such that each block has 16×16 bytes. Then, each block will be encrypted by different playfair matrix. All input data such as capital letter, small letter, digits and special characters, etc. can be encrypted by this new method. Experimental results showed that the proposed playfair cipher is more secure than the classical one and very sensitive to a slight change in the secret keys. The actual results of the encryption process showed that the proposed algorithm can defend against different attacks.
Iris images encryption based on QR code and chaotic map Raniah Ali Mustafa, Amal Abdulbaqi Maryoosh, Dena Nadir George, Waleed Rasheed Humood Telkomnika Telecommunication Computing Electronics and Control, 2020 In this paper an Iris image is encrypted based on QR (quick response) code and chaotic map. The main idea of the proposed system is generating a QR code depending on the input text and then extract the features from QR code by using convolution, these features are used for key generation. After that the permuted iris image is encrypted by using generated key, after that the resulting image will be encrypts using 2D logistic map. The randomness of generated key is tested using the measures of NIST, and quality of images that encrypted in this method are tested by using security analysis tests such as PSNR, UACI, NPCR, histogram, correlation and entropy. The security analysis shows that the proposed system is secure for iris image encryption.
A new block cipher algorithm for image encryption based on chaotic system and S-Box International Journal of Civil Engineering and Technology, 2018
RECENT SCHOLAR PUBLICATIONS
Leveraging Feature Fusion and Convolutional Neural Networks for Concrete Crack Prediction AA Maryoosh, S Pashazadeh, P Salehpour Baghdad Science Journal 23 (3), 1068-1083 , 2026 2026
A Hybrid Learning Framework for Enhancing Bridge Damage Prediction AA Maryoosh, S Pashazadeh, P Salehpour Applied System Innovation 8 (3), 61 , 2025 2025 Citations: 3
Leukemia Detection using Machine Learning Algorithms: Current trends and future directions AA Maryoosh, S Pashazadeh Mustansiriyah journal of pure and Applied Sciences 2 (3), 33-49 , 2024 2024 Citations: 10
A Blockchain Applications and Challenges MAH Amal Abdulbaqi Maryoosh, Ahmed Abd Ali Abdulkadhim International Journal of Advances in Scientific Research and Engineering 9 (2) , 2023 2023
A Review: Data Mining Techniques and Its Applications AA Maryoosh, EM Hussein International Journal of Computer Science and Mobile Applications 10 (3), 1-14 , 2022 2022 Citations: 12
Image confusion and diffusion based on multi-chaotic system and mix-column AA Maryoosh, ZS Dhaif, RA Mustafa Bulletin of Electrical Engineering and Informatics 10 (4), 2100-2109 , 2021 2021 Citations: 12
Subject Review: Feature Extraction Based on Palm Print RA Mustafa, AA Maryoosh, ZS Dhaief 2021
Subject review: information hiding using chaotic map ZS Dhaief, R Mustafa, AA Maryoosh Int J Adv Sci Res Eng 7 (08), 106-111 , 2021 2021 Citations: 1
Image Confusion and Diffusion Based on Multi-Chaotic system and Mix-Column AAM Zahraa salah daief, Rahiah Ali Mustafa Bulletin of Electrical Engineering and Informatics 10 (4) , 2021 2021
Subject Review: Information Steganography Based on Different Methods AA Maryoosh, ZS Dhaief, RA Mustafa 2021
A new block cipher for image encryption based on multi chaotic systems DF Chalob, AA Maryoosh, ZM Esa, EN Abbud TELKOMNIKA (Telecommunication Computing Electronics and Control) 18 (6 … , 2020 2020 Citations: 9
Hiding encrypted text in image using least significant bit image steganography technique ZS Dhaief, RA Mustafa, AA Maryoosh International Journal of Engineering Research and Advanced Technology (IJERAT) 6 , 2020 2020 Citations: 6
Iris images encryption based on QR code and chaotic map RA Mustafa, AA Maryoosh, DN George, WR Humood Telkomnika 18 (1), 289-300 , 2020 2020 Citations: 9
Block image encryption based on modified playfair and chaotic system SHL Ekhlas Abbas Albahrani, Amal Abdulbaqi Maryoosh Journal of Information Security and Applications 51 , 2020 2020 Citations: 38
Review: Image Encryption Techniques based on Chaotic Map AA Maryoosh, RAM Zahraa Salah Dhaief International Journal of Engineering Research and Advanced Technology … , 2019 2019
Image encryption techniques based on chaotic map AA Maryoosh, RA Mustafa, ZS Dhaief Int. J. Eng. Res. Adv. Technol IJERAT (ISSN: 2454-6135) 5 (9), 01-05 , 2019 2019 Citations: 3
Subject review: cloud computing security based on cryptography AA Maryoosh, RS Mohammed, RA Mustafa International Journal of Engineering Research and Advanced Technology-IJERAT … , 2019 2019 Citations: 8
Recognition of Retain Images Based on Association Rules RA Mustafa, ZS Dhaief, HS Chyad, AA Maryoosh International Journal of Engineering Research and Advanced Technology … , 2019 2019 Citations: 1
A New Block Cipher Algorithm for Image Encryption Based on Chaotic system and S-Box AAB Maryoosh International Journal of Civil Engineering and Technology 9 (13), 318-327 , 2018 2018 Citations: 5
Data Security for Cloud Computing based on Elliptic Curve Integrated Encryption Scheme (ECIES) and Modified Identity based Cryptography (MIBC) SA Abbas, AAB Maryoosh International Journal of Applied Information Systems 10 (6) , 2016 2016 Citations: 12
MOST CITED SCHOLAR PUBLICATIONS
Block image encryption based on modified playfair and chaotic system SHL Ekhlas Abbas Albahrani, Amal Abdulbaqi Maryoosh Journal of Information Security and Applications 51 , 2020 2020 Citations: 38
Improving data storage security in cloud computing using elliptic curve cryptography SA Abbas, AA Maryoosh IOSR Journal of Computer Engineering 17 (4), 48-53 , 2015 2015 Citations: 19
A Review: Data Mining Techniques and Its Applications AA Maryoosh, EM Hussein International Journal of Computer Science and Mobile Applications 10 (3), 1-14 , 2022 2022 Citations: 12
Image confusion and diffusion based on multi-chaotic system and mix-column AA Maryoosh, ZS Dhaif, RA Mustafa Bulletin of Electrical Engineering and Informatics 10 (4), 2100-2109 , 2021 2021 Citations: 12
Data Security for Cloud Computing based on Elliptic Curve Integrated Encryption Scheme (ECIES) and Modified Identity based Cryptography (MIBC) SA Abbas, AAB Maryoosh International Journal of Applied Information Systems 10 (6) , 2016 2016 Citations: 12
Leukemia Detection using Machine Learning Algorithms: Current trends and future directions AA Maryoosh, S Pashazadeh Mustansiriyah journal of pure and Applied Sciences 2 (3), 33-49 , 2024 2024 Citations: 10
A new block cipher for image encryption based on multi chaotic systems DF Chalob, AA Maryoosh, ZM Esa, EN Abbud TELKOMNIKA (Telecommunication Computing Electronics and Control) 18 (6 … , 2020 2020 Citations: 9
Iris images encryption based on QR code and chaotic map RA Mustafa, AA Maryoosh, DN George, WR Humood Telkomnika 18 (1), 289-300 , 2020 2020 Citations: 9
Subject review: cloud computing security based on cryptography AA Maryoosh, RS Mohammed, RA Mustafa International Journal of Engineering Research and Advanced Technology-IJERAT … , 2019 2019 Citations: 8
Hiding encrypted text in image using least significant bit image steganography technique ZS Dhaief, RA Mustafa, AA Maryoosh International Journal of Engineering Research and Advanced Technology (IJERAT) 6 , 2020 2020 Citations: 6
A New Block Cipher Algorithm for Image Encryption Based on Chaotic system and S-Box AAB Maryoosh International Journal of Civil Engineering and Technology 9 (13), 318-327 , 2018 2018 Citations: 5
A Hybrid Learning Framework for Enhancing Bridge Damage Prediction AA Maryoosh, S Pashazadeh, P Salehpour Applied System Innovation 8 (3), 61 , 2025 2025 Citations: 3
Image encryption techniques based on chaotic map AA Maryoosh, RA Mustafa, ZS Dhaief Int. J. Eng. Res. Adv. Technol IJERAT (ISSN: 2454-6135) 5 (9), 01-05 , 2019 2019 Citations: 3
Subject review: information hiding using chaotic map ZS Dhaief, R Mustafa, AA Maryoosh Int J Adv Sci Res Eng 7 (08), 106-111 , 2021 2021 Citations: 1
Recognition of Retain Images Based on Association Rules RA Mustafa, ZS Dhaief, HS Chyad, AA Maryoosh International Journal of Engineering Research and Advanced Technology … , 2019 2019 Citations: 1
Leveraging Feature Fusion and Convolutional Neural Networks for Concrete Crack Prediction AA Maryoosh, S Pashazadeh, P Salehpour Baghdad Science Journal 23 (3), 1068-1083 , 2026 2026
A Blockchain Applications and Challenges MAH Amal Abdulbaqi Maryoosh, Ahmed Abd Ali Abdulkadhim International Journal of Advances in Scientific Research and Engineering 9 (2) , 2023 2023
Subject Review: Feature Extraction Based on Palm Print RA Mustafa, AA Maryoosh, ZS Dhaief 2021
Image Confusion and Diffusion Based on Multi-Chaotic system and Mix-Column AAM Zahraa salah daief, Rahiah Ali Mustafa Bulletin of Electrical Engineering and Informatics 10 (4) , 2021 2021
Subject Review: Information Steganography Based on Different Methods AA Maryoosh, ZS Dhaief, RA Mustafa 2021
