Browsing by Author "Gujjunoori, S."

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Enhanced optical flow-based full reference video quality assessment algorithm
(Springer, 2022) Gujjunoori, S.; Oruganti, M.; Pais, A.R.
Full reference video quality assessment based on optical flow is emerging. Human Visual System (HVS) based video quality assessment algorithms are playing an important role in effectively assessing the distortions in video sequences. There exist very few video quality assessment algorithms which consider spatio-temporal distortions effectively. To address the above issues, we present an enhanced optical flow based full reference video quality algorithm which considers the orientation feature of the optical flow while computing the temporal distortions as opposed to the use of feature, minimum eigenvalue as in the state of the art. Further, it presents an interquartile range based comparative weighted closeness (INT-CWC) measure which aimed to measure the comparative dispersion of video quality scores of any two video quality assessment algorithms with DMOS scores. Here INT-CWC measure is a novel attempt. The performance of proposed scheme is evaluated using the LIVE dataset and scheme is shown to be competitive with, and even out-perform, existing video quality assessment algorithms. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Throttling DDoS attacks
(2009) Gujjunoori, S.; Syed, T.A.; Madhu, 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.
Throttling DDoS attacks
(2009) Gujjunoori, S.; Syed, T.A.; Babu, J, M.; 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.
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.
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.