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Analysis and Evaluation of Intrusion Detection Datasets and Providing a Solution to Make Them Real
, M.Sc. Thesis Sharif University of Technology ; Jahangir, Amir Hossein (Supervisor)
Abstract
The rapid advancement of information technology and computer networks raised concerns of the users and network administrators regarding security. The development of computer networks and the increase in the number of specialists in this field led to the increase in the number of people who seek to abuse these networks, people known as attackers. The attackers look for security defects in a network to penetrate and abuse it proportionate to their needs. Considering the risks of these attacks, it is necessary to have an intrusion detection system (IDS). IDSs are capable of detecting attack traffic or suspected traffic, then, they alert the network administrators, and consequently, stop the...
Analyzing and Evaluating Intrusion Detection Datasets and Providing a Solution to Solve their Weaknesses by Focusing on Benign traffic
, M.Sc. Thesis Sharif University of Technology ; Jahangir, Amir Hossein (Supervisor)
Abstract
Today, with the increasing expansion and development of computer networks and information technology, network security has become an important concern for experts and researchers in this field. One of the main elements in the field of information and network security are intrusion detection systems. To maintain the accuracy and quality of these systems, we need to test and evaluate them frequently. The datasets of intrusion detection systems are one of the main tools for evaluating these systems. The quality and accuracy of these systems in detecting anomalies and attacks in the network largely rely on rich and complete data. Also, the main component of this datasets is the traffic data,...
Attention-based Change Detection and Panoptic Change Segmentation
, M.Sc. Thesis Sharif University of Technology ; Manzuri Shalmani, Mohammad Taghi (Supervisor)
Abstract
Change detection involves comparing images of a specific area taken at different times to identify the key changes that have occurred over time. It is critically important in the field of remote sensing, with applications spanning urban planning, disaster monitoring, and environmental conservation. However, challenges such as varying weather conditions and lighting in satellite images taken at different times, as well as the presence of non-target changes, can make this task challenging. In this research, we will focus on changes in land-use, particularly in building infrastructure, which is crucial for urban development planning. Moreover, since change detection does not specify the type of...