Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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Author: search.filters.author.Mohandas, R.Subject: search.filters.subject.Integer factorization

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    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.
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    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.
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    Spam control by source throttling using integer factorization
    (2011) Gupta, R.; Vinay Kumar, K.; Mohandas, R.
    Existing solutions for spam control that are limited to spam filtering at the receiver side underestimate the fact that the network bandwidth and processing time of the recipient email servers are wasted. To cut down these costs spam should be controlled before it reaches the receiving email server. In this paper, we propose a solution to control spam at the senders email server by throttling the client's CPU using integer factorization problem. Integer factorization is used to generate stamps as a proof of CPU cycles expended by the senders system for each email recipient. Cost of generating stamps is negligible when the client is sending emails to only a few recipients. However, as the number of recipients increases, the cost of generating stamps also increases which adversely affects the processing speed of the client. The server requires minimal processing time to verify stamps generated by the client. © Springer-Verlag 2011.