Wafaa Mustafa Abduallah

TL;DR: This review paper focuses on the most common defense methods against DDoS attacks that adopt artificial intelligence and statistical approaches and classifies and illustrates the attack types, the testing properties, the evaluation methods and the testing datasets that are utilized in the methodology of the proposed defense methods.

TL;DR: In the present research, an automatic leukocyte cell segmentation process was introduced that is based on machine learning approach and image processing technique and the characteristics of blast cells were extracted using 4-moment statistical features and artificial neural networks.

TL;DR: An architecture of Adjustable-Autonomous Multi-agent IoT (AAMA-IoT) system to resolve a number of the IoT management of control and application interface challenges is proposed and applied in an elderly smart home simulation.

TL;DR: In this paper, the Integrated Intrusion Detection and Prevention System (IDPS) is proposed, which combines both IDS and IPS in a single mechanism to detect various numbers of attacks and stop them through the capability of IPS.

TL;DR: A novel method for data hiding within transform domain of the color images based on dividing an image into blocks, then applying the proposed transform on specified blocks and hiding the secret message within those is presented.