master

This thesis presents a framework for the digital investigations used in the early detection and response to internal security threats and cyber security incidents that may arise in the institutions of global financial sector. Based on the grounded theory methodology as one of the most important tools of qualitative practical research and qualitative data collection, the proposed framework model was developed through reviewing the literature and comprehensive searches for a set of models for frameworks of digital investigations and response to security incidents and their improvement.

The student has previously defended his thesis, which is the first in its field in Palestine, where it aimed to build an accurate, reliable model for predicting electrical loads using deep learning algorithms (LSTM, GRU and RNN), based on factual data obtained from the Tubas Electricity Company.