Rupal Joshi

DNA cryptography: a novel paradigm for secure routing in Mobile Ad hoc Networks (MANETs)

Abstract Ad hoc networks do not necessarily rely on fixed infrastructure for the communication amongst its various nodes and this poses new challenges for the necessary architecture they apply. In addition, ad hoc networks are often designed for specific environments and may have to operate with full availability in difficult situations making them vulnerable as compared to traditional networks. In this paper, we propose a novel secure ad hoc routing protocol that uses pseudo DNA cryptography. The presented work deals with the assumptions, length analysis and evaluation of pseudo DNA algorithm, which can be implemented for securing Ad hoc Networks.

Unified Approach for QoS Management with Adaptation and Renegotiation

A new adaptation protocol for quality of service (QoS) adaptation with renegotiation is developed that allows a connection-oriented network like ATM to recover from the QoS violations in order to satisfy end-to-end QoS requirements. This protocol is applicable to networks using PNNI where the nodes are grouped together in peer groups hierarchically. It Is assumed that every node has a QoS/Route Monitor unit that receives QoS/Link State Update (LSU) messages from the network on a periodic or triggered basis. In addition to its usual functions, this monitor would also function as QoS agent, QoS manager or Connection QoS Manager depending on its location. The QoS/Route Monitor is responsible for sending or receiving the signalling messages required in the protocol. To facilitate functioning of the protocol, several signalling messages have been defined that characterize different control mechanisms required for the protocol and the network. Finally, a unified model for quality of service management in broadband integrated services networks is proposed that has QoS monitor as primary part of the network interface or the switch. The model consists of components responsible for QoS provisioning, QoS monitoring and managing QoS routes. The model is also responsible for processing the proposed adaptation protocol between end points.