Sherin Zafar

Work place: Faculty of Engineering, Manav Rachna International University Faridabad, Haryana, 121004, India



Research Interests: Combinatorial Optimization


Sherin Zafar is an B.E, M.Tech in Computer Science and Engineering from RGPV Bhopal in 2006 and 2010 respectively. Sherin is pursuing her PhD degree in Computer Engineering from Manav Rachna International University Faridabad 2011-12 batch. She is now Assistant Professor in Computer Section in Faculty of Engg. Jamia Millia Islamia New Delhi. In teaching, she has been focusing on Computer networks, DBMS etc. Her research interests include ad-hoc networks, meta-heuristic algorithms and network security.

Author Articles
A Novel Crypt-Biometric Perception Algorithm to Protract Security in MANET

By Sherin Zafar M.K Soni

DOI:, Pub. Date: 8 Nov. 2014

Mobile ad-hoc networks are networks that have properties of self configuration and multi hopping. These networks do not have any fixed infrastructure and need to be dynamic in nature. The specification of dynamism leads to various security breaches that a MANET suffers from such as impersonation, data modification etc. which results in degradation of performance and hence QOS is strongly affected. Hence this paper focuses on improving security performance of MANET by employing biometric technique in combination with cryptography, since biometric perception is specified as the most neoteric technological advancement which enhance security specifications of various networks by specifying exclusive human identification features. Cryptography is designed on computational hardness assumptions making various algorithms hard to break by an adversary. Simulation and experimental results specify that the proposed crypto-metric perception technique leads in achieving better QOS parameters by avoiding security intrusions hence better performance of mobile ad-hoc networks.

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Sustaining Security in MANET: Biometric Stationed Authentication Protocol (BSAP) Inculcating Meta-Heuristic Genetic Algorithm

By Sherin Zafar M.K Soni

DOI:, Pub. Date: 8 Sep. 2014

The paper comprehends an impending accost of intensifying biometric stationed authentication protocol(BSAP) bestowing meta-heuristic genetic algorithm for securing MANET. Biometric authentication using fingerprint, facial, iris scan, voice recognition etc. have gain a lot of importance in recent years to provide security in MANET. Biometrics are more advantageous and secure as compared to prevailing data security techniques like password or token mechanisms. A higher level of security is achieved in our impending approach using genetic algorithm to overcome the security and privacy concerns that exist in biometric technology. The foremost requirement of our protocol is to overcome various data attacks such as wormhole, cache poisoning, invisible node attack etc. that are confronted by MANET and make the network more secure.

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Other Articles