Biblio

Cross-Site Scripting, also called as XSS, is a type of injection where malicious scripts are injected into trusted websites. When malicious code, usually in the form of browser side script, is injected using a web application to a different end user, an XSS attack is said to have taken place. Flaws which allows success to this attack is remarkably widespread and occurs anywhere a web application handles the user input without validating or encoding it. A study carried out by Symantic states that more than 50% of the websites are vulnerable to the XSS attack. Security engineers of Microsoft coined the term "Cross-Site Scripting" in January of the year 2000. But even if was coined in the year 2000, XSS vulnerabilities have been reported and exploited since the beginning of 1990's, whose prey have been all the (then) tech-giants such as Twitter, Myspace, Orkut, Facebook and YouTube. Hence the name "Cross-Site" Scripting. This attack could be combined with other attacks such as phishing attack to make it more lethal but it usually isn't necessary, since it is already extremely difficult to deal with from a user perspective because in many cases it looks very legitimate as it's leveraging attacks against our banks, our shopping websites and not some fake malicious website.

Data mining has been used as a technology in various applications of engineering, sciences and others to analysis data of systems and to solve problems. Its applications further extend towards detecting cyber-attacks. We are presenting our work with simple and less efforts similar to data mining which detects email based phishing attacks. This work digs html contents of emails and web pages referred. Also domains and domain related authority details of these links, script codes associated to web pages are analyzed to conclude for the probability of phishing attacks.

Detecting hardware Trojan is a difficult task in general. The context is that of a fabless design house that sells IP blocks as GDSII hard macros, and wants to check that final products have not been infected by Trojan during the foundry stage. In this paper we analyzed hardware Trojan horses insertion and detection in Scalable Encryption Algorithm (SEA) crypto. We inserted Trojan at different levels in the ASIC design flow of SEA crypto and most importantly we focused on Gate level and layout level Trojan insertions. We choose path delays in order to detect Trojan at both levels in design phase. Because the path delays detection technique is cost effective and efficient method to detect Trojan. The comparison of path delays makes small Trojan circuits significant from a delay point of view. We used typical, fast and slow 90nm libraries in order to estimate the efficiency of path delay technique in different operating conditions. The experiment's results show that the detection rate on payload Trojan is 100%.