Zaiba Ishrat

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Kunwar Babar Ali

Noida International University

Muazzam Laiq

Sarvesh Kumar Sharma

Deenbandhu Chhotu Ram University of Science and Technology

Raees Ahmad Khan

Babasaheb Bhimrao Ambedkar University

Rehan Ahmad

COMSATS University Islamabad

Pankaj Singh

Shri Ramswaroop Memorial University

Gayatri Kapil

Babasaheb Bhimrao Ambedkar University

Kanhaiya Kumar Singh

Shobhit University

Alka Agrawal

Babasaheb Bhimrao Ambedkar University

Chinmay Sourabh

Cooperative Institutions

Babasaheb Bhimrao Ambedkar University

Administrative Staff College of India

Shri Ramswaroop Memorial University

Shobhit University

Lovely Professional University

Babu Banarasi Das University

Deenbandhu Chhotu Ram University of Science and Technology

Birla Institute of Technology and Science, Pilani

Karabük University

University of Pittsburgh

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Development of Fire Fighting Robot

Zenodo (CERN European Organization for Nuclear Research) (2020)

Zaiba Ishrat Kanhaiya Kumar Singh Chinmay Sourabh

10.5281/zenodo.3941422

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Managing Multimedia Big Data: Security and Privacy Perspective

Advances in intelligent systems and computing (2020)

Gayatri Kapil Zaiba Ishrat Rajeev Kumar Alka Agrawal Raees Ahmad Khan

Data Security

10.1007/978-981-15-0936-0_1

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Performance Evaluation of DSDV, DSR AND ZRP Protocol in MANET

International Journal of Computer Applications Technology and Research (2013)

Zaiba Ishrat Pankaj Singh Rehan Ahmad

Mobile Ad-Hoc Networks are rapidly deployable and self-configuring networks.In MANET all the network node work as a router and must be capable to relay traffic from one to another since communicating nodes might be out of range.MANET is characterized by dynamic topology, possibly unidirectional links, constrained resources and network partitions.The main two attributes are mobility and multi-hop.[1][3]The size of MANET can be varied from small static network to highly large dynamic network.MANET use dynamic changing network topologies that are proactive, reactive and hybrid protocol.[1][2] In this paper, an attempt has been made to compare performance of Proactive, reactive and hybrid protocol for the MANET.A comparative study of DSDV (proactive) DSR (reactive) and ZRP (hybrid) has been done on the basis of their performance in MANETs using NS2 simulator.Packet delivery fraction ratio and throughput are considered as a performance parameter for evaluating the performance of DSDV,DSR and ZRP protocol.

10.7753/ijcatr0203.1026

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Optimization of Route in a Network using Genetic Algorithm

Zaiba Ishrat Kunwar Babar Ali

The problem of finding the optimal path in MANET is a well known problem due to the mobility of its nodes. Optimal routing is associated with the total cost reduction of a path. The main goal of this paper is to consider the problem of path optimization between the sender and receiver in a dynamic network. A new adaptive algorithm based on genetic techniques is proposed to find out the Optimal Path in dynamic nature problem. Genetic algorithm provides the solution of optimal path using the technique which is inspired by the natural process that is initial population, selection, crossover and mutation. The proposed algorithm used a repair function to cure all the infeasible chromosomes. The quality of solutions and rate of convergence is enhanced by performing the crossover and mutation function on the initial population. Even though path optimization algorithms are already well established, but the researchers are still trying to find the alternative methods to optimize the paths in a dynamic network. One such alternative is to use genetic algorithm. The first section of this paper explain the

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A Review : Security Threats and Defensive Strategis in WSN

International Journal of Scientific Research in Science Engineering and Technology (2018)

Zaiba Ishrat Kunwar Babar Ali Muazzam Laiq

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Study of Path Optimization in Packet Switching Network using Neural Network

Zaiba Ishrat Sarvesh Kumar Sharma

The problem of finding the optimal path between two nodes is a well known problem in network analysis. Optimal routing has been widely studied for interconnection networks this paper work considers the problem of finding the optimal path. A Genetic algorithm based strategy is proposed and the algorithm has been developed to find the Optimal Path. This paper work presents a neural network based approach to the shortest path routing problem. Weights adjustment of the neurons has been used for solving the problem of optimum path. This paper presents the back propagation algorithm to solve the problem of optimum path in multi layer feed forward (MLFF) network. Even though shortest path routing algorithms are already well established, there are researchers who are trying to find alternative methods to find shortest paths through a network. One such alternative is to use of neural network.

Yen's algorithm

Equal-cost multi-path routing

Average path length

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