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2017-02-14
K. P. B. Anushka, Chamantha, A. P. Karunaweera, P. R. Priyashantha, H. D. R. Wickramasinghe, W. A. V. M. G. Wijethunge.  2015.  "Case study on exploitation, detection and prevention of user account DoS through Advanced Persistent Threats". 2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer). :190-194.

Security analysts implement various security mechanisms to protect systems from attackers. Even though these mechanisms try to secure systems, a talented attacker may use these same techniques to launch a sophisticated attack. This paper discuss about such an attack called as user account Denial of Service (DoS) where an attacker uses user account lockout features of the application to lockout all user accounts causing an enterprise wide DoS. The attack has being simulated usingastealthy attack mechanism called as Advanced Persistent Threats (APT) using a XMPP based botnet. Through the simulation, researchers discuss about the patterns associated with the attack which can be used to detect the attack in real time and how the attack can be prevented from the perspective of developers, system engineers and security analysts.

2015-05-05
Mewara, B., Bairwa, S., Gajrani, J., Jain, V..  2014.  Enhanced browser defense for reflected Cross-Site Scripting. Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), 2014 3rd International Conference on. :1-6.

Cross-Site Scripting (XSS) is a common attack technique that lets attackers insert the code in the output application of web page which is referred to the web browser of visitor and then the inserted code executes automatically and steals the sensitive information. In order to prevent the users from XSS attack, many client- side solutions have been implemented; most of them being used are the filters that sanitize the malicious input. However, many of these filters do not provide prevention to the newly designed sophisticated attacks such as multiple points of injection, injection into script etc. This paper proposes and implements an approach based on encoding unfiltered reflections for detecting vulnerable web applications which can be exploited using above mentioned sophisticated attacks. Results prove that the proposed approach provides accurate higher detection rate of exploits. In addition to this, an implementation of blocking the execution of malicious scripts have contributed to XSS-Me: an open source Mozilla Firefox security extension that detects for reflected XSS vulnerabilities which can be considered as an effective solution if it is integrated inside the browser rather than being enforced as an extension.