Hardware Acceleration of Deep Learning based Firewalls Using FPGA

, M.Sc. Thesis Sharif University of Technology Fotovat, Amin (Author) ; Jahangir, Amir Hossein (Supervisor)

Abstract

In recent years, due to the drawback of rule-based firewalls in detecting unknown attacks, using neural networks has got more attention to be used in firewalls. As the computation load of neural networks are so much there is a need to decrease the processing time and power consumption as they are under load 24/7. Although there have been huge achievements in the usage of graphics processing units (which contain numerous processing cores) in neural networks, their high power consumption has made the scientists think about an alternative to implement neural networks. Field Programmable Gate Array (FPGA) is one of the most serious candidates to be used for implementing neural networks. The goal...

Attack Detection in Web Applications Firewall by Learning from Application’s Source Code

, M.Sc. Thesis Sharif University of Technology Alizadeh Nikoo, Amir Reza (Author) ; Amini, Morteza (Supervisor)

Abstract

Due to increasing web-based attacks against web applications and inefficiency of intrusion detection and prevention systems for detecting and preventing web attacks in the application layer, web application firewalls (WAF) developed to deal with this problem. There are most common attacks affecting today’s web applications like SQL Injection (SQLi), Cross-Site Scripting (XSS) and Logical attacks. The Logical attack focuses on the abuse or exploitation of a web application’s logic flow, and unlike SQLi and XSS, it depends on the web application functionality. Nowadays, there are a lot of methods for designing a WAF which are divided into two categories: Signature-based and Anomaly-based...

Implementing a Software-Defined-Network Firewall on FPGA

, M.Sc. Thesis Sharif University of Technology Daneshmand, Arash (Author) ; Jahangir, Amir Hossein (Supervisor)

Abstract

Software defined networks are developed to provide programmability and a centralized view in networks by decoupling control plane from data plane. Software defined networks are now well received,and these networks are evolving every day. This is while more attention has been paid to widen the application of these networks and eliminating the shortcomings in their performance. On the other hand, in very large networks, the issue of efficiency and processing speed is of great importance. However, performance in these networks is not satisfactory, especially in single controller based SDN due to the complex processing of packets in a unique controller. Security needs are also of great...

Black Hole Complementarity, An Approach To The Information Problem

, M.Sc. Thesis Sharif University of Technology Aalipour, Amin (Author) ; Bahmanabadi, Mahmud (Supervisor) ; Sheikh Jabbari, Mohammad Mehdi (Supervisor)

Abstract

In this survey we explore the black hole information problem, one of the most challenging issues in theoretical physics over the past few decades. According to the theory of general relativity, black holes can form through gravitational collapse of matter. At semiclassical level, however, black holes emit thermal Hawking-radiation and eventually completely evaporate. After evaporation the radiation state cannot retain all the information about the initial matter that underwent gravitational collapse, contradicting the principles of quantum mechanics. Various approaches have been proposed to address this issue. One such approach is the black hole complementarity principle, introduced by...