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.
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    Enhanced Last-Touch Interaction Attribution Model in Online Advertising
    (Institute of Electrical and Electronics Engineers Inc., 2018) Yuvaraj, C.B.; Chandavarkar, B.R.; Kumar, V.S.; Sandeep, B.S.
    The increased popularity of an internet opened a new way for e-business in terms of digital advertisement. In order to get back and improve the "return of investment", how to allocate the revenue distribution to different marketing channels comes out to be the key problem in digital advertising. However, last interaction model, first interaction model, last click, last ad words' click, linear attribution, time-decay attribution, position based attribution models are some of the attribution models developed to attribute and assign contribution to each marketing channel. These existing models consider the contributions of the other channels and some don't consider the synergistic effects in revenue calculation from different marketing channels. This paper proposes Enhanced Last Touch Interaction (ELTI) model to allocate the revenue distribution to different marketing channels using game theory and synergistic effects. Additionally, the paper also implements and adopts the probabilistic approaches to prevent the simple intuitions made by many other attribution models. Prediction accuracy of above 75% of the ELTI model out performance the state-of-the art models. © 2018 IEEE.
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    Survey on Game Theory-Based Security Framework for IoT
    (Springer, 2023) Joshi, P.; Kamediya, S.; Kumar, R.; Chandavarkar, B.R.
    The large network of smart devices and the complexity of networks have made it almost impossible to make the data and communication between devices more secure. The number of cyber-attacks on these IoT devices has been steadily increasing. So here a survey on game theory model is presented, and the attackers are rational human beings, so they try to harm the system to their best of ability and so their moves can be predicted which can be used by the defenders with some game theory concepts to take proper security decisions and make an efficient security framework. This chapter is a survey on game theory-based security frameworks and explores and evaluates different types of threats, security requirements and constraints related to IoT, how Game Theory can be used in field of IoT, along with the game theory models used is to develop security frameworks for IoT. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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    'Watch and Buy' and its impact on online retailers and manufacturer: A Stackelberg and Nash game analysis
    (Institute of Electrical and Electronics Engineers Inc., 2023) Raju, S.; Rofin, T.M.; Kumar, S.P.; Islam, S.M.N.
    'Watch and Buy' or live stream (LS) selling is a novel selling method where an influencer will showcase the product through an LS channel or social media; the consumer can interact with the influencer and buy the product online. Our study, for the first time, analyses the pricing decisions of an LS channel when they competes with the traditional online retailer (OR). We also analysed the impact of LS on OR and the product manufacturer (PM). Later, we examined the effect of conversion rate and revenue sharing contract on the supply chain partners' profit. This study's findings can act as a starting point for the analytical studies in LS selling and can aid the management practitioners of LS, OR and PM to optimise their profit. © 2023 IEEE.