Postgraduate Studies

This study investigates the dynamic interaction between strategic planning statements and sustainability practices in the context of Palestinian NGOs. The research focuses on the unique social and political landscape of Palestine, and explores how strategic planning processes within these NGOs can be improved to integrate and advance sustainability goals, through an in-depth examination of case studies, interviews and the relevant literature.

This research focuses on creating a robust model for detecting texts produced by large language models popular in the field of natural language processing, based on the assumption that machine learning technology can detect machine learning technology. The first study explores the field of cyber security and highlights the potential risks associated with using AI-generated texts in malicious ways.

The researcher created different types of denial-of-service attacks and applied modified algorithms to the data after calculating statistical features based on time difference between payloads passing through the encrypted channel, and tested multiple types of traditional and deep learning algorithms. This is to examine their efficiency in distinguishing four types of attacks and improve detection accuracy. Inter arrival time was calculated, which is the time difference between each two successive loads.