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Saad Abdullah AlAhmadi | سعد عبدالله الأحمدي

Associate Professor

Associate Professor in Computer Science - Specialty: Cybersecurity, IoT, Adversarial Machine Learning

علوم الحاسب والمعلومات
Building 31 (CCIS Building) - 2nd Floor - Room 2179
المنشورات
مقال فى مجلة
2023

Blockchain-Based Deep CNN for Brain Tumor Prediction Using MRI Scans

brain tumor; deep learning; blockchain; secure CNN

Brain tumors are nonlinear and present with variations in their size, form, and textural variation; this might make it difficult to diagnose them and perform surgical excision using magnetic resonance imaging (MRI) scans. The procedures that are currently available are conducted by radiologists, brain surgeons, and clinical specialists. Studying brain MRIs is laborious, error-prone, and time-consuming, but they nonetheless show high positional accuracy in the case of brain cells. The proposed convolutional neural network model, an existing blockchain-based method, is used to secure the network for the precise prediction of brain tumors, such as pituitary tumors, meningioma tumors, and glioma tumors. MRI scans of the brain are first put into pre-trained deep models after being normalized in a fixed dimension. These structures are altered at each layer, increasing their security and safety. To guard against potential layer deletions, modification attacks, and tempering, each layer has an additional block that stores specific information. Multiple blocks are used to store information, including blocks related to each layer, cloud ledger blocks kept in cloud storage, and ledger blocks connected to the network. Later, the features are retrieved, merged, and optimized utilizing a Genetic Algorithm and have attained a competitive performance compared with the state-of-the-art (SOTA) methods using different ML classifiers.

نوع عمل المنشور
Research Article
اسم الناشر
Diagnostics
رقم المجلد
13
رقم الانشاء
7
الصفحات
1229
مزيد من المنشورات
publications

Brain tumors are nonlinear and present with variations in their size, form, and textural variation; this might make it difficult to diagnose them and perform surgical excision using magnetic…

بواسطة Saad Al-Ahmadi
2023
تم النشر فى:
Diagnostics
publications

Named Data Networking (NDN) is considered an appropriate architecture for IoT as it naturally supports consumer mobility and provides in-network caching capabilities as leverage to meet IoT…

بواسطة Saad Al-Ahmadi
2023
تم النشر فى:
Pervasive and Mobile Computing, Elsevier
publications

The current proliferation of Internet of Things (IoT) mobile devices has helped to show the limitations of the IP model to support content-based applications and networking. Named Data Networking…

2023
تم النشر فى:
Journal of Network and Computer Applications,