Faculty Publications
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Publications by NITK Faculty
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Item Throttling DDoS attacks(2009) Gujjunoori, S.; Ali, T.A.; Babu J, B.J.; Avinash, D.; Mohandas, R.; Pais, A.R.Distributed Denial of Service poses a significant threat to the Internet today. In these attacks, an attacker runs a malicious process in compromised systems under his control and generates enormous number of requests, which in turn can easily exhaust the computing resources of a victim web server within a short period of time. Many mechanisms have been proposed till date to combat this attack. In this paper we propose a new solution to reduce the impact of a distributed denial of service attack on a web server by throttling the client's CPU. The concept of source throttling is used to make the client pay a resource stamp fee, which is negligible when the client is making a limited number of requests but becomes a limiting restriction when he is making a large number of requests. The proposed solution makes use of the integer factorization problem to generate the CPU stamps. We have packaged our solution as an API so that existing web applications can easily deploy our solution in a layer that is transparent to the underlying application.Item Throttling DDoS attacks(2009) Gujjunoori, S.; Ali, T.A.; Babu J, B.J.; Avinash, D.; Mohandas, R.; Pais, A.R.Distributed Denial of Service poses a significant threat to the Internet today. In these attacks, an attacker runs a malicious process in compromised systems under his control and generates enormous number of requests, which in turn can easily exhaust the computing resources of a victim web server within a short period of time. Many mechanisms have been proposed till date to combat this attack. In this paper we propose a new solution to reduce the impact of a distributed denial of service attack on a web server by throttling the client's CPU. The concept of source throttling is used to make the client pay a resource stamp fee, which is negligible when the client is making a limited number of requests but becomes a limiting restriction when he is making a large number of requests. The proposed solution makes use of the integer factorization problem to generate the CPU stamps. We have packaged our solution as an API so that existing web applications can easily deploy our solution in a layer that is transparent to the underlying application.Item Prediction of rock properties using grinding characteristics of ball mill(Inderscience Publishers, 2020) Ram Chandar, R.C.; Umamahesh, A.; Kumar, K.P.; Avinash, D.Knowledge of physico-mechanical properties of rocks is essential starting from the preliminary exploration to processing in mining projects. The strength properties of rocks considered necessary for mine planning and design, selection of equipment, use of suitable processing technique, etc. Sophisticated laboratory facilities are required to determine various properties of rocks using some international standards like ISRM, ASTM, etc., which is time consuming and costly affair. In this study, an attempt is to predict some of the rock properties like density, tensile strength using grinding characteristics of ball mill. Laboratory experiments conducted on samples of granite, limestone, slate and BHQ varying different parameters like quantity of feed, charge ratio, size of balls, grinding time, etc., at constant RPM of ball mill. Grinding characteristic curves used to obtain 25%, 50%, 80% cumulative passing sieve sizes. In addition, laboratory experiments carried out to find physico-mechanical properties like density, tensile strength, Protodyakonav's strength index, rebound hardness number. Regression analysis carried out with the data obtained from experiments. © © 2020 Inderscience Enterprises Ltd.