6 papers
Adaptive Learning for Moving Target defence: Enhancing Cybersecurity Strategies
Mandar Datar, Yann Dujardin
In this work, we model Moving Target Defence (MTD) as a partially observable stochastic game between an attacker and a defender. The attacker tries to compromise the system through…
Toward Energy and Location-Aware Resource Allocation in Next Generation Networks
Mandar Datar, Mattia Merluzzi
Wireless networks are evolving from radio resource providers to complex systems that also involve computing, with the latter being distributed across edge and cloud facilities. Als…
Balancing Costs and Utilities in Future Networks via Market Equilibrium with Externalities
Mandar Datar, Mattia Merluzzi
We study the problem of market equilibrium (ME) in future wireless networks, with multiple actors competing and negotiating for a pool of heterogeneous resources (communication and…
On Stability and Learning of Competitive Equilibrium in Generalized Fisher Market Models: A Variational Inequality Approach
Mandar Datar
In this work, we study a generalized Fisher market model that incorporates social influence. In this extended model, a buyer's utility depends not only on their own resource alloca…
Python-based DSL for generating Verilog model of Synchronous Digital Circuits
Mandar Datar, Dhruva S. Hegde, Vendra Durga Prasad +8
We have designed a Python-based Domain Specific Language (DSL) for modeling synchronous digital circuits. In this DSL, hardware is modeled as a collection of transactions -- runnin…
Fisher Market Model based Resource Allocation for 5G Network Slicing
Mandar Datar, Naresh Modina, Rachid El +1
Network slicing (NS) is a key technology in 5G networks that enables the customization and efficient sharing of network resources to support the diverse requirements of nextgenerat…