Best Paper Award

International Journal of Scientific Research in Computer Science and Engineering
The Board set down various parameters of evaluating the potential parameters that each prospective manuscript is reviewed for best paper awards. We assign rating points with respect to variables such as Content Quality, the No of References, Manuscript scope, research outcomes and results and aggregate the score.

• Open Access   Article

  REVIN: Reduced Energy Virtuous Immune Network for WSN

  G. Sharma, A. Kumar

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.5 , Issue.2 , pp.1-8, Apr-2017

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  Abstract
  Sink node’s location privacy is one of the critical issues in wireless sensor network (WSN), as sink node is the central point of sensed data collection and act as gateway between wireless network and wired infrastructure. An attacker can attack on sink node to capture whole network due to shared nature of wireless channel. In existing work, large energy consumption is there in providing security to sink node. So there is a trade-off between energy consumption and security in WSN. To address these issues, we have proposed an algorithm in this paper, named REVIN (Reduced Energy Virtuous Immune Network). In proposed algorithm, a small fraction of advanced nodes are used to prolong the network lifetime. Sleep scheduling mechanism is implemented in static fixed clusters. Region based clustering is done by sink node. To provide privacy of sink node lo cation, at least 15 other nodes in the WSN have similar traffic statistics as the sink node. Simulation results show that our proposed algorithm perform better in terms of energy consuption and provide better sink node privacy.

  Key-Words / Index Term
  Sink Node, Security, Localization, Clustering, Energy Constrained, WSN

  References
  [1] C. M. George, T. Jacob, “Privacy Towards Base Station In Wireless Sensor Networks Against a Global Eavesdropper – A Survey”, International Journal of Computer Science and Management Research, Vol.2, Issue.4, pp. 1493-1497, 2013.
  [2] M. Holiday, S. Venkatesan, N. Mittal, “Secure Location Verification with Randomly-Selected Base Stations”, 31st International Conference on Distributed Computing Systems Workshops, USA, pp. 119-122, 2011
  [3] M. Younis, Z. Ren, “Effect of Mobility and Count of Base-stations on the Anonymity of Wireless Sensor Networks”, 7th International Wireless Communications and Mobile Computing Conference, USA, pp. 436-441, 2011.
  [4] M. Conti, B. Crispo, and J. Willemsen, “Providing Source Location Privacy in Wireless Sensor Networks: A Survey”, IEEE Communications Surveys & Tutorials, Vol.15, Issue.3, pp.410-419 2013.
  [5] Niharika Singh Matharu, Avtar Singh Buttar, “An Efficient Approach for Localization using Trilateration Algorithm based on Received Signal Strength in Wireless Sensor Network”, International Journal of Computer Sciences and Engineering, Vol.3, Issue.8, pp.11-16, 2015.
  [6] S.S. Kumar, A.G. Selvarani, “Improving Energy Efficiency by Using Tree-Based Routing Protocol for Wireless Sensor Network”, International Journal of Computer Sciences and Engineering, Vol.3, Issue.3, pp.201-206, 2015.
  [7] E. Ngai, “On providing sink anonymity for sensor networks”, in Proceedings of 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly, US, pp. 269–273, 2009.
  [8] S. Tyagi, J. Kaur, “A Literature Review in Wireless Sensor Hole Detection Along with Node Scheduling Algorithm”, International Journal of Computer Sciences and Engineering, Vol.4, Issue.8, pp.28-32, 2016.
  [9] Y. Jian, L. Zhang , S. Chen, Z. Zhang, “A novel scheme for protecting receiver’s location privacy in wireless sensor networks,” Wireless Communications IEEE Transactions, Vol.7, Issue.10, pp. 3769–3779, 2008.
  [10] K. Mehta, M. Wright, D. Liu, “Location privacy in sensor networks against a global eavesdropper,” IEEE International Conference on. IEEE, pp. 314–323, 2007.
  [11] A. F. Callanan, P. Thulasiraman,” Achieving Sink Node Anonymity Under Energy Constraints in Tactical Wireless Sensor Networks”, IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision, Orlando, pp-186-191, 2015
  [12] Y. Ebrahimi and M. Younis, “Using deceptive packets to increase base station anonymity in wireless sensor network”, 7th International Wireless Communications and Mobile Computing Conference, Istanbul, pp.842–847, 2016
  [13] G. Anastasi, M. Conti, M. Di Francesco, A. Passarella, “Energy conservation in wireless sensor networks: A survey”, Ad Hoc Networks, Vol.7, Issue. 3, pp. 537–568, May 2009.
  [14] Aditya Singh Mandloi, Vinita Choudhary, “An Efficient Clustering Technique for Deterministically Deployed Wireless Sensor Networks”, International Journal of Scientific Research in Network Security and Communication, Vol.1, Issue.1, pp.6-10, 2013
  [15] C. Intanagonwiwat, R. Govindan, D. Estrin, “Directed diffusion: A scalable and robust communication paradigm for sensor networks”, ACM International Conference on Mobile Computing and Networking, USA, pp. 56–67, 2000
  [16] J. Kulik, W. Heinzelman, H. Balakrishnan, “Negotiation-based protocols for disseminating information in wireless sensor networks”, Wireless Networks, Vol. 8, Issue.2, pp. 169–185, 2002.
  [17] R. Kachal, S. Suri, “Comparative Study and Analysis of DSR, DSDVAND ZRP in Mobile Ad-Hoc Networks”, International Journal of Computer Sciences and Engineering, Vol.2, Issue.5, pp.148-152, 2014.
  [18] Uma Korupolu, S Kartik, G Kalyan Chakravarthi, “An Efficient Approach for Secure Data Aggregation Method in Wireless Sensor Networks with the impact of Collusion Attacks”, International Journal of Scientific Research in Computer Science and Engineering, Vol.4, Issue.3, pp.25-28, 2016.
  [19] R. Nathiya, S.G. Santhi, “Energy Efficient Routing with Mobile Collector in Wireless Sensor Networks (WSNs)”, International Journal of Computer Sciences and Engineering, Vol.2, Issue.2, pp.36-43, 2014.
  

  Citation
  G. Sharma, A. Kumar, "REVIN: Reduced Energy Virtuous Immune Network for WSN", International Journal of Scientific Research in Computer Science and Engineering, Vol.5, Issue.2, pp.1-8, 2017

• Open Access   Article

  Detection of Cross Browser Inconsistency by Comparing Extracted Attributes

  C.P.Patidar, Meena Sharma, Varsha Sharda

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.5 , Issue.1 , pp.1-6, Feb-2017

  Abstract

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  Abstract
  The advancement in web technology and popularity of web applications amplifies the inconsistencies between various web browsers. These inconsistencies augment cross browser incompatibilities that constitute different look on different browsers for a particular web application. In some cases, Cross-Browser Inconsistencies (XBIs) consists of acceptable difference whereas these may entirely prevent users from accessing part of a web application’s functionality in other cases. Therefore, testing process of a web application must be performed comprehensively on multiple browsers to achieve consistency. Available tools and techniques require a considerable manual effort to recognize such issues and provide limited support for fixing the cause of the issues. In this paper, we propose a technique for detecting cross-browser issues without human intervention.

  Key-Words / Index Term
  Browser, Cross Browser Inconsistency, Reliability, Web application

  References
  [1] C.P.Patidar and Meena Sharma ,”An automated approach for cross browser inconsistency(XBI) detection”, Ninth annual ACM India conference organized by ACM India, Oct 21-23,2016.
  [2] Nepal Barskar, C.P.Patidar and Meena Sharma, “Analysis and Identification of Cross Browser Inconsistency Issues in Web Application using Automation Testing”, International Journal of Computer Science and Information Technology & Security (IJCSITS), ISSN: 2249-9555Vol.6, No3, May-June 2016.
  [3] Nepal Barskar and C.P. Patidar, “A Survey on Cross Browser Inconsistencies in Web Application”, International Journal of Computer Applications (0975 – 8887) Volume 137 – No.4, March 2016.
  [4] “WebTesting”, mindlance.com, testing@mindlance.com.
  [5] Ochin and Jugnu Gaur, “Cross Browser Incompatibility: Reasons and Solutions”, International Journal of Software Engineering & Applications (IJSEA), Vol.2, No.3, July 2011.
  [6] Shauvik Roy Choudhary, Husain Versee and Alessandro Orso, “WEBDIFF: Automated Identification of Cross-browser Issues in Web Applications”, 26th IEEE International Conference on Software Maintenance in Timisoara Romania, 978-1-4244-8628-1/10, 2010.
  [7] http://www.tcs.com/assurance, 2016.
  [8] Sanjay Dahiya1, Ved Parkash1 and T.R. Mudgal2, “Comprehensive Approach for Cross Compatibility Testing of Website “, National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing (RTMC) ,Proceedings published in International Journal of Computer Applications (IJCA) ,2011 .
  [9] Jatinder Manhas,“ Comparative Study of Cross Browser Compatibility as Design Issue in Various Websites” , BIJIT - BVICAM’s International Journal of Information Technology Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi (INDIA), NOV 2014.
  [10] Charles Reis, Brian Bershad, Steven D. Gribble and Henry M. Levy, “Using Processes to Improve the Reliability of Browser-based Applications”, University of Washington Technical Report UW-CSE, DEC 2007.
  [11] Sung-Whan Woo, Omar H. Alhazmi and Yashwant K. Malaiya,“AN ANALYSIS OF THE VULNERABILITY DISCOVERY PROCESS IN WEB BROWSERS”, proceeding of the 10th IASTED International Conference Software engineering and Applications, Dallas,TX,USA,ISBN: 0-88986-642-2 / CD: 0-88986-599-X, NOVEMBER 13-15, 2006,
  [12] Ali Mesbah and Mukul R. Prasad,“ Automated Cross-Browser Compatibility Testing”, ICSE ’11,Waikiki, Honolulu, HI, USA ,ACM 978-1-4503-0445-0/11/05, May 21–28, 2011 .
  [13] Shauvik Roy Choudhary, Mukul R. Prasad and Alessandro Orso,“ X-PERT: A Web Application Testing Tool for Cross-Browser Inconsistency Detection”, ISSTA’14,San Jose, CA, USA,Copyright 2014 ACM 978-1-4503-2645-2/14/07,July 21–25, 2014.
  [14] Nadja Peters1, Sangyoung Park1, Samarjit Chakraborty1, Benedikt Meurer2, Hannes Payer2 and Daniel Clifford2, “Web Browser Workload Characterization for Power Management on HMP Platforms”, CODES/ISSS ’16 Pittsburgh, PA, USA, ACM, and ISBN: 978-1-4503-4483-8/16/10, October 01-07 2016.
  [15] Shauvik Roy Choudhary, Mukul R. Prasad and Alessandro Orso, “CROSSCHECK: Combining Crawling and Differencing to Better Detect Cross-browser Incompatibilities in Web Applications”, 2012.
  [16] Shauvik Roy Choudhary,”Detecting Cross-browser Issues in Web Applications”, ICSE ’11, Waikiki, Honolulu, HI, USA, ACM 978-1-4503-0445-0/11/05, May 21–28, 2011.
  

  Citation
  C.P.Patidar, Meena Sharma, Varsha Sharda, "Detection of Cross Browser Inconsistency by Comparing Extracted Attributes", International Journal of Scientific Research in Computer Science and Engineering, Vol.5, Issue.1, pp.1-6, 2017

• Open Access   Article

  Finite Element Modeling of Calcium Signaling in T-Lymphocytes

  H. Kumar, KR. Pardasani

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.4 , Issue.2 , pp.1-9, Apr-2016

  Abstract

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  Abstract
  T-Lymphocytes are crucial for health and disease as they provide cell-mediated immunity. The elevation of intracellular free calcium concentration is an essential triggering signal involved in activation of T-Lymphocytes by antigen. Various calcium concentration distribution patterns are required by the cell to initiate, sustain and terminate its processes for providing immunity. The regulatory mechanisms involved in T-Lymphocytes are not well understood. In this paper, the mathematical model has been developed to study intracellular calcium distribution in T-Lymphocytes for one dimensional steady and unsteady state. The steady state model incorporates the parameters like diffusion coefficient, source influx, ryanodine receptors and buffers while unsteady state model is proposed to study the effect of SERCA pump and buffers on temporal calcium concentration distribution. The Finite element method has been employed to obtain the solution of the proposed mathematical model. The boundary conditions have been framed using biophysical conditions of the problem. A computer program has been developed in MATLAB 7.10 for the entire problem and numerical results are used to study relationships among concentration, position and time with respect to physiological conditions.

  Key-Words / Index Term
  Finite Element Method, T-Lymphocytes, Buffers, Ryanodine Receptor (RyR), SERCA pump, Diffusion Coefficient, Reaction Diffusion Equations, MATLAB

  References
  [1] G. Toldi, “The regulation of Calcium homeostasis in T lymphoctes”, Frontiers in immunology, Vol.4, pp.1-2, 2013.
  [2] C. Kummerow, C. Junker, K. Kruse, H. Rieger, A. Quintana, M. Hoth, “The immunological synapse controls local and global calcium signals in T lymphocytes”, Immunological reviews, Vol.231, Issue.1, pp.132-147, 2009.
  [3] M.D. Cahalan, K.G. Chandy, “The functional network of ion channels in T-lymphocytes”, Immunological reviews, Vol.231, Issue.1, pp.59-87, 2009.
  [4] S. Feske, E.Y. Skolnik, M. Prakriya, “Ion channels and transporters in lymphocyte function and immunity”, Nature Reviews Immunology, Issue.12, Issue.7,pp.532-47, 2012.
  [5] K. Tsaneva-atanasova, T.J. Shuttle worth, D. I. Yule, J.L. Thompson, J. Sneyd, “Calcium Oscillations and Membrane Transport”, Multiscale Modeling & Simulation, Vol.3, Issue.2, pp.245-64, 2005.
  [6] E. Neher, “Concentration profiles of intracellular Ca2+ in the presence of diffusible chelators”, Experiment Brain Reseasrch, Vol.14, pp.80-96, 1986.
  [7] Y. Tang, T. Schlumpberger, T. Kim, M. Lueker, R.S. Zucker, “Effects of Mobile Buffers on Facilitation: Experimental and Computational Studies”, Biophysics journal, Vol.78, pp.2735-2751, 2000.
  [8] C. Schmeitz, E.A. Hernandez-Vargas, R. Fliegert, A.H. Guse and M. M. Hermann, “A mathematical model of T lymphocyte calcium dynamics derived from single transmembrane protein properties”, Frontiers in immunology, Vol.4, pp.1-16, 2013.
  [9] I.M.A. Ernst, R. Fliegert, A. H. Guse, “Adenine dinucleotide second messengers and T lymphocyte calcium signaling”, Front Immunology, Vol.4, pp.1-7, 2013.
  [10] P. Hou, R. Zhang, Y. Liu, J. Feng, W. Wang, Y. Wu, J. Ding, “Physiological Role of Kv1.3 Channel in T Lymphocyte Cell Investigated Quantitatively by Kinetic Modeling”, PLOSe One, Vol.9, Issue.3, pp.1-9, 2014.
  [11] G. D. Smith, “Analytical Steady State Solution to the rapid buffering approximation near an open Ca2+ channel”, Biophysical journal, Vol.71, Issue.6, pp.3064-3072, 1996.
  [12] S. Tewari and K. R. Pardasani, “Finite Difference Model to Study the effects of Na+ Influx on Cytosolic Ca2+ Diffusion”, World Academy of Science, Engineering and Technology, Vol.2, pp.23-34, 2008.
  [13] S. Tewari, K. R. Pardasani, “Finite Element Model to Study Two Dimensional Unsteady State Cytosolic Calcium Diffusion in Presence of Excess Buffers”, IAENG International Journal of Applied Mathematics, Vol.40, Issue.3, pp.108-112, 2010.
  [14] A. Tripathi, N. Adlakha, “Finite Volume Model to Study Calcium Diffusion in Neuron Involving JRyR, JSERCA, and JLEAK”, Journal of Computing, Vol.3, Issue11, pp.41-46, 2011.
  [15] A. Tripathi, N. Adlakha, “Finite Volume Model to Study Calcium Diffusion In Neuron Cell Under Excess Buffer Approximation”, International J. of Math. Sci & Engg. Appls. (IJMSEA), Vol.5, No.3, pp. 437-447, 2011.
  [16] A. Tripathi, N. Adlakha, “Two Dimensional Coaxial Circular Elements in FEM to Study Calcium Diffusion in Neuron Cells”, International Journal of Mathematical Sciences and Engineering Application, Vol. 6, no. 10, 455-466, 2012.
  [17] B.K. Jha, N. Adlakha, M.N. Mehta, “Finite Volume Model to Study the Effect of Buffer on Cytosolic Ca2+ Advection Diffusion”, International Journal of Engineering and Natural Sciences, Vol.4, Issue.3, pp.160-163, 2010.
  [18] B.K. Jha, N. Adlakha, M.N. Mehta, “Analytic Solution of Two Dimensional Advection Diffusion Equation Arising In Cytosolic Calcium Concentration Distribution”, International Mathematical Forum Vol.7, No.3, pp.135-144, 2012.
  [19] P.A. Naik and K.R. Pardasani, “Finite Element Model to Study Radial Calcium Distribution in Oocytes: A one dimensional steady state case study”, International Journal of Advanced Research, Vol.2, Issue.1, pp.57-66, 2014.
  [20] P.A. Naik, K.R. Pardasani, “Finite Element Model to Study Effect of Buffers in Presence of Voltage Gated Ca2+ Channels on Calcium Distribution in Oocytes for One Dimensional Unsteady State Case”, International Journal of Modern Biology and Medicine, Vol.4, Issue.3, pp.190-203, 2013.
  [21] P. A. Naik, K. R. Pardasani, “Finite Element Model to Study Effect of Na+/K+ pump and Na+/Ca2+ Exchanger on Calcium Distribution in Oocytes in Presence of Buffers”, Asian Journal of Mathematics and Statistics, Vol.7, Issue.1, pp.21-28, 2014.
  [22] S. Panday, K.R. Pardasani, “Finite Element Model to Study Effect of Buffers Along With Leak from ER on Cytosolic Ca2+ Distribution in Oocyte”, IOSR Journal of Mathematics (IOSR-JM) ISSN: 2278-5728, Volume 4, Issue 5, pp. 01-08, 2013.
  [23] S. Panday, K.R. Pardasani, “Finite Element Model to Study Effect of Advection Diffusion and Na+/Ca2+ Exchanger on Ca2+ Distribution in Oocytes”, Journal of Medical Imaging and Health Informatics, Vol.52, Issue.1, pp.374-379, 2013.
  [24] S. Panday, K. R. Paradasani, “Finite Element Model to Study the Mechanics of Calcium Regulation in Oocyte”, Journal of Mechanics in Medicine and Biology, Vol.14, Issue.2, pp.1-16, 2014.
  [25] N. Manhas, J. Sneyd, K.R. Pardasani, “Modelling the transition from simple to complex Ca2+ oscillations in pancreatic acinar cells”, Journal of Biosciences, Vol.39, Issue.3, pp.463-484, 2014.
  [26] M. Kotwani, N. Adlakha, M.N. Mehta, “Numerical Model to Study Calcium Diffusion in Fibroblasts Cell for One Dimensional Unsteady State Case”, Applied Mathematical Sciences, Hikari, Vol.6, Issue.102, pp.5063-5072, 2012.
  [27] M.D. Bootman, P. Lipp, “Calcium Signalling and Regulation of Cell Function”, Encyclopedia of Life Science published by Nature Publishing Group, london, pp.321-347, 2001.
  

  Citation
  H. Kumar, KR. Pardasani, "Finite Element Modeling of Calcium Signaling in T-Lymphocytes", International Journal of Scientific Research in Computer Science and Engineering, Vol.4, Issue.2, pp.1-9, 2016