Conference Papers

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

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    A game theoretic approach to a self managing MOOC based distributed system
    (Institute of Electrical and Electronics Engineers Inc., 2014) Sharath, N.; Parikh, S.S.; Chandrasekaran, K.
    The need to introduce an e learning platform in a campus such as ours is significant. In order to cater to the needs of nearly 7000 active users within the campus, a distributed system that is formulated. This system is required to to be as efficient as possible. This paper gives a topology for the system that is required and introduces self-managing properties that will add to the increased performance of the system in terms of speed, accuracy and security. With the aid of software agents continuously monitoring the progress of the entities in the system, we are able to introduce several self managing properties that govern the performance of the system as a whole. The software agents are modeled to be rational thinkers since every entity has a motive of performing its best. A game is simulated between two non cooperative agents as a case study and it is shown that the decision to move towards Nash Equilibrium serves better than any other random strategy. © 2014 IEEE.
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    Extended game theoretic dirichlet based collaborative intrusion detection systems
    (Springer Verlag service@springer.de, 2016) Paul, S.; Makkar, T.; Chandrasekaran, K.
    Security has always been one of the key issues of any man-made system, this paved the way for a submodule or application or a device to monitor or system for malicious activities. This system or submodule or device is known as Intrusion Detection System (IDS). As technology evolves so does the associated threats and thus the intrusion detection system needs to evolve. Game theory throws in a different perspective which have not been looked upon much. Game theory provides a way of mathematically formalizing the decision making process of policy establishment and execution. Notion of game theory can be used in intrusion detection system in assisting in defining and reconfiguring security policies given the severity of attacks dynamically. We are trying to formulate a robust model for the theoretical limits of a game theoretic approach to IDS. The most important flaw of game theory is that it assumes the adversary’s rationality and doesn’t take into consideration multiple simultaneous attacks. Therefore, a collaborative trust and Dirichlet distribution based robust game theoretic approach is proposed which will try to resolve this issue. Reinforced learning approaches using Markov Decision Process will be utilized to make it robust to multiple simultaneous attacks. © Springer Science+Business Media Singapore 2016.