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Exploring Innovation| ISSN:2277-3878(Online)| Reg. No: 97794/BPL/S/2012| Published by BEIESP| Impact Factor:4.46
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Volume-4 Issue-5: Published on November 30, 2015
09
Volume-4 Issue-5: Published on November 30, 2015

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S. No

Volume-4 Issue-5, November 2015, ISSN:  2277-3878 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. 

Page No.

1.

Authors:

P. Dayaker, Chandrakant K. Daf

Paper Title:

Defending Against Password Guessing Attacks on Web Applications

Abstract:    Brute force and dictionary attacks on password protected remote login services are increasing rapidly. Letting legitimate user’s login conveniently while preventing such attacks is difficult. Automated Turing Tests (ATTs) are effective and easy to implement but cause reasonable amount of inconvenience to the user. We discuss the existing and proposed login protocols designed to prevent large scale online dictionary attacks. We propose Password Guessing Resistant Protocol (PGRP), which is derived upon revisiting prior proposals designed to restrict such attacks. PGRP reduces the total number of login attempts from an unknown remote host while trusted or legitimate users can make several failed login attempts before being challenged by ATT.

Keywords:
    Brute force, Attacks, CAPTCHA, PGRP. 

References:

1.       E. Bursztein, S. Bethard, J.C. Mitchell, D. Jurafsky, and C.Fabry, “How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation,” Proc. IEEE Symp. Security and Privacy, May 2010.
2.       Usability of CAPTCHAs Or usability issues in CAPTCHA design Jeff Yan, Ahmad Salah El Ahmad July 2008

3.       Password Protected Smart Card and MemoryStick Authentication Against Dictionary Attacks Yongge Wan, March 3, 2012.


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Authors:

E. Nagabhooshanam, Y. Gayathri, G.Praveen, K. Deepak, D. Sireesha

Paper Title:

Monitoring of Health @ Home using Sensing Devices

Abstract:     The current healthcare model is mostly in-hospital based and consists of periodic visits. Nowadays, chronic heart failure (CHF) affects an ever-growing segment of population, and it is among the major causes of hospitalization for elderly citizens. The actual out-of hospital treatment model, based on periodic visits, has a low capability to detect signs of destabilization and leads to a high re-hospitalization rate. To this aim, in this paper, a complete and integrated Information and Communication Technology system is described enabling the CHF patients to daily collect vital signs at home and automatically send them to the Hospital Information System, allowing the physicians to monitor their patients at distance and take timely actions in case of necessity. A minimum set of vital parameters has been identified, consisting of electrocardiogram, SpO2, blood pressure, and weight, measured through a pool of wireless, non-invasive biomedical sensors. A multi-channel front-end IC for cardiac sensor interfacing has been also developed. Sensor data acquisition and signal processing are in charge of an additional device, the home gateway. All signals are processed upon acquisition in order to assert if both punctual values and extracted trends lay in a safety zone established by thresholds. Per-patient personalized thresholds, required measurements and transmission policy are allowed. As proved by first medical tests, the proposed telemedicine platform represents a valid support to early detect the alterations in vital signs that precede the acute syndromes, allowing early home interventions thus reducing the number of subsequent hospitalizations.

Keywords:
   Biomedical instrumentation, chronic heart failure, e-health, sensor signal processing, tele-monitoring, vital signs sensors. 

References:

1.        “SHAPE survey results to the general public,” in Proc. Annu. Congr. Eur. Soc. Cardiol. Vienna, Vienna, Austria, Sep. 2003.
2.        F. Zannad, N. Agrinier, and F. Alla, “Heart failure burden and therapy,” Europace, vol. 11, no. 5, pp. 1–9, Nov. 2009.

3.        Roger, A. S. Go, D. M. Lloyd-Jones, R. J. Adams, J. D. Berry, T. M. Brown, M. R. Carnethon, S. Dai, G. de Simone, E. S. Ford, C. S. Fox, H. J. Fullerton, C. Gillespie, K. J. Greenlund, S. M. Hailpern, J. A. Heit, P. M. Ho, V. J. Howard, B. M. Kissela, S. J. Kittner, D. T. Lackland, J. H. Lichtman, L. D. Lisbeth, D. M. Makuc, G. M. Marcus, A. Marelli, D. B. Matchar, M. M. McDermott, J. B. Meigs, C. S. Moy, D. Mozaffarian, M. E. Mussolino, G. Nichol, N. P. Paynter, W. D. Rosamond, P. D. Sorlie, R. S. Stafford, T. N. Turan, M. B. Turner, N. D.Wong, and J.Wylie-Rosett, “Heart disease and stroke statistics—2011 update: A report from the American Heart Association,” Circulation, vol. 123, no. 4, pp. 18–209, Feb. 2011.

4.        F. Alla, F. Zannad, and G. Filippatos, “Epidemiology of acute heart failure syndromes,” Heart Fail. Rev., vol. 12, no. 2, pp. 91–95, Jun. 2007.

5.        C. Berry, D. Murdoch, and J. McMurray, “Economics of chronic heart failure,” Eur. J. Heart Fail., vol. 3, no. 3, pp. 283–291, Jun. 2001.

6.        Bundkirchen and R. H. G. Schwinger, “Epidemiology and economic burden of chronic heart failure,” Eur. Heart J. Suppl., vol. 6, no. SD, pp. 57–60, Aug. 2004.

7.        J. Ross, J. Chen, Z. Lin, H. Bueno, J. P. Curtis, P. S. Keenan, S. L. Normand, G. Schreiner, J. A. Spertus, M. T. Vidán, Y. Wang, and H. M. Krumholz, “Recent
national trends in readmission rates after heart failure hospitalization,” Circ., Heart Fail., vol. 3, no. 1, pp. 97–103, Jan. 2009.

8.        S. Stewart, “Financial aspects of heart failure programs of care,” Eur. J. Heart Fail., vol. 7, no. 3, pp. 423–428, Mar. 2005.

9.        F.McAlister, S. Stewart, S. Ferrua, and J. J.McMurray, “Multidisciplinary strategies for the management of heart failure patients at high risk for admission: A systematic review of randomized trials,” J. Amer. Coll. Cardiol., vol. 44, no. 4, pp. 810–819, Aug. 2004.

10.     E. Seto, “Cost comparison between telemonitoring and usual care of heart failure: A systematic review,” Telemed. J. E-Health, vol. 14, no. 7, pp. 679–686, Sep. 2008.

11.     C. Klersy, A. De Silvestri, G. Gabutti, F. Regoli, and A. Auricchio, “A meta-analysis of remote monitoring of heart failure patients,” J. Amer. Coll. Cardiol., vol. 54, no. 18, pp. 1683–1694, Oct. 2009.

12.     S. C. Inglis, R. A. Clark, F. A. McAlister, J. Ball, C. Lewinter, D. Cullington, S. Stewart, and J. G. Cleland, “Structured telephone support or telemonitoringprogrammes for patients with chronic heart failure,” Cochrane Lib., no. 8, p. CD007 228, Jul.–Sep. 2010.

13.     S. Saponara, M. Donati, T. Bacchillone, L. Fanucci, I. Sanchez-Tato, C. Carmona, and P. Barba, “Remote monitoring of vital signs in patients with chronic heart failure: Sensor devices and data analysis perspective,” In Proc. IEEE Sens. Symp. Appl., 2012, pp. 1–6.

14.     G. van den Broek, F. Cavallo, and C. Wehrmann, Ambient Assisted Living Roadmap. Amsterdam, The Netherlands: IOS Press, Mar. 2010.

15.     S. J. Devaraj and K. Ezra, “Current trends and future challenges in wireless telemedicine system,” in Proc. IEEE ICECT, 2011, pp. 417–421.

16.     C. Fabbricatore, M. Zucker, S. Ziganki, and A. P. Karduck, “Towards an unified architecture for smart home and ambient assisted living solutions: A focus on elderly people,” in Proc. IEEE DEST, Jun. 2011, pp. 305–311.

17.     Jara, M. A. Zamora, and A. F. G. Skarmeta, “An architecture for ambient assisted living and health environments,” in Proc. Lecture Notes Comput. Sci., 2009, vol. 5518, pp. 882–889.

18.     J. P. Riley and M. R. Cowie, “Telemonitoring in heart failure,” Heart Educ. Heart, vol. 95, no. 23, pp. 1964–1968, Dec. 2009.

19.     T. Bacchillone, M. Donati, S. Saponara, and L. Fanucci, “A flexible home gateway system for telecare of patients affected by chronic heart failure,” in Proc. IEEE Int. Symp. Med. Inf. Commun. Technol., 2011, pp. 139–142.

20.     R. Dolin, L. Alschuler, S. Boyer, C. Beebe, F. M. Behlen, P. V. Biron, and A. Shabo, “HL7 clinical document architecture, release 2,” J. Amer. Med. Inf. Assoc., vol. 13, no. 1, pp. 30–39, Jan./Feb. 2006.

21.     Implementation Guide for CDA Release 2.0 Personal Healthcare Monitoring Report (PHMR), Health Level Seven Int., Ann Arbor, MI, 2008. [Online]. Available:http://www.hl7.org

22.     M. Yuksel and A. Dogac, “Interoperability of medical device information and the clinical applications: An HL7 RMIM based on the ISO/IEEE 11073 DIM,” IEEE Trans. Inf. Technol. Biomed., vol. 15, no. 4, pp. 557– 566, Jul. 2011.

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3.

Authors:

Santosh L Bidve, Bhushan S Deshmukh, Abhilash G Chamwad, V K Pachghare, Rahul B Adhao

Paper Title:

Wireless Intrusion Detection System using Reputation

Abstract:      Development in the field of Information Technology has led to increase in speed of Internet. With the increase in internet users there is a tremendous increase in network traffic. Increase in network traffic has also increased the threat of intrusion over the network. For the ever growing internet speed there is a necessity to modify the intrusion detection system in order to detect the intrusion threats across the network. In order to meet these needs of Intrusion detection system we can use the combination of packet based and flow based systems. Reduction of false alarm is also a matter of concern in intrusion detection.

Keywords:
    Intrusion Detection, Reputation, IP Flow, Packet Flow.

References:

1.       Bernard Menezes, “Network Security and Cryptography”, Cengage Learning, pp. 235-237.
2.       Dr. V K Pachghare , “Cryptography and Information Security”, PHI publication

3.       Rahul B Adhao, Avinash R Kshirsagar, Dr. V K Pachghare,”Reputation Based Fast Intrusion Detection”2014

4.       F. Sabahi and A. Movaghar, “Intrusion Detection: Survey”, The Third International Conference on System and Network communications, 2008, pp. 23-26.

5.       M. Sharma , A Kaushik, A. Sanghwan “ Performance Analysis of Real time Intrusion Detection and Prevention System Using Snort”, International Journal of Engineering Research and Technology, (IJERT), July 2012.

6.       C. Kruegel, F. Valeur and G. Vigna, “Intrusion Detection and Correlation: Challenges and Solutions”, Springer- Verlag Telos, 2004.

7.       Keldor Gerrigagoitia  , Roberto Uribeetxeberria , Urko Zurutuza , and Ignacio Arenaza,”Reputation-based Intrusion Detection System for wireless sensor networks”.

8.       Trung Dong Huynh “Trust And Reputation in Open Multi-Agent System”.

9.       Chinyang Henry Tseng, Poornima Balasubramanyam, “Specification Based Intrusion Detection Model for OLSR”.

10.    L Premaajeshwari, “Enhanced Intrusion Detection Techniques for mobile Ad Hoc networks”.

11.    Anna Sperotto and Aiko Pras, “Flow Based Intrusion Detection System”, 12th IFIP/IEEE 2011: Dissertation Digest, 2011, pp. 958-963.

12.    G. Sadasivan, N. Brownlee, B. Claise, “Network Working Group” RFC 5470


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4.

Authors:

Mohammed Jassim Mohammed Jassim

Paper Title:

Printed Text and Handwriting Identification in Noisy Document Images

Abstract:    In this project, we address the problem of segmenting and identifying text in noisy document images. The identification of machine printed text and handwriting is important because: (1) recognition techniques available for machine printed text and handwriting are significantly different (2) Handwriting in a document indicates corrections, additions that should be treated differently from the main content. Instead of using simple noise filtering techniques, our approach treat noise itself is treated as a class. Thus our approach becomes a three-class identification problem (Machine Printed Text, Handwriting and Noise). After performing text identification, post processing is performed to refine classification accuracy.

Keywords:
 Document Analysis, Printed Text, Segmentation, Markov Random Field, Hidden Markov Model ... .


References:

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5.        Y. Zheng, C. Liu and X. Ding. Single character type identification. In Proc. of SPIE Vol.4670, Document Recognition & Retrieval IX, pages 49–56, 2001.

6.        J. K. Guo and M. Y. Ma. Separating handwritten material from machine printed text using hidden Markov models. In Proc. of the 6th Inter. Conf. On Document Analysis & Recognition, pages 439–443, 2001.

7.        www.mathworks.com


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5.

Authors:

Abdullah .M.Y. AL-Hersh, Mahmoud .M.M. AL-Zyood

Paper Title:

The Effect of CRM on Customer Satisfaction Field Study on Jordanian & Saudi Bank Services

Abstract:     Due to the rapid expansion in banks and the severe competition for customers’ retention, banks have started using various marketing strategies to achieve their objectives. Customer Relationship Marketing is one of the marketing strategies that may be used in this respect. The study aims to investigate the impact of Customer Relationship Marketing on Customer Satisfaction in Banking Industry in KSA and Jordan. An e-mail questionnaire was designed and sent to 500 hundred customers of Arab Bank in KSA and Jordan, creating two sample pools of respondents. A total of 151 of the collected questionnaires were valid. The study findings show medium to  high degrees of positive attributes of the two samples toward Customer Relationship Marketing dimensions (trust, commitment, communication, empathy, social bonding and fulfilling promises) on customer satisfaction. The findings also indicate different attitudes regarding the importance of Customer Relationship Marketing dimension between the two samples. The findings also indicate different results regarding the impact of Customer Relationship Marketing on customer’s satisfaction due to gender, age and educational level. Ultimately, the study suggested that Arab bank, whether in the study’s two selected countries, or in other countries where it has branches and operates from, should apply Customer Relationship Marketing in order to maintain its market share in the market..

Keywords:
 Customer Relationship, Customer Satisfaction, Bank Services .


References:

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71.    Tony Ward and Tracey S. Dagger ( 2007  ),The complexity of relationship marketing for service customers, Journal of Services Marketing21/4 ,pp 281–290

72.    Troy Heffernan, Grant O’Neill, Bathurst, Australia ,Tony TravaglioneMarcelleDroulers (2008), Relationship marketing ,The impact of emotional intelligence and
trust on bank performance, International Journal of Bank Marketing, Vol. 26 No. 3, pp. 183-199

73.    Verhoef, P. (2003), “Understanding the effect of customer relationship management efforts on customer retention and customer share development”, Journal of Marketing, Vol. 67, October, pp. 30-45.

74.    Walsh, S., Gilmore, A. and Carson, D. (2004), “Managing and implementing simultaneous transaction and relationship marketing”, International Journal of Bank Marketing, Vol. 22 No. 7, pp. 468-83.

75.    Ward, T., Frew, E. and Caldow, D. (1997), “An extended list of the dimensions of ‘relationship’ in consumer service product marketing: a pilot study”, American Marketing Association, Vol. 6, pp. 531-44.

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78.    Wilson, D.T. (1995), “An integrated model of buyer-seller relationships”, Journal of the Academy of Marketing Science, Vol. 23 No. 4, pp. 335-45.

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80.    Wong, A. and Sohal, A. (2003), “A critical incident approach to the examination of customer relationship management in a retail chain: an exploratory study”, Qualitative Market Research: an International Journal, Vol. 6 No. 4, pp. 248-62.

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6.

Authors:

Sachin G. Gaikwad, P.S. Swami, A. G.Thosar

Paper Title:

Comparison of Conventional and Fuzzy Logic Approach for DGA of EHV Transformer

Abstract:   this paper deals with Dissolved gas analysis (DGA) of Extra High Voltage (EHV) transformers. Dissolved gas analysis (DGA) is a commonly used diagnostic testing tool which gives valuable information about fault developed inside the transformer. Development of incipient fault inside the transformer causes decomposition of oil and generation of combustible hydrocarbon gases. Amount and type of gas generated depends upon nature of fault in transformer.IEC and IEEE standards specify various techniques for interpretation of DGA test results. These conventional techniques include various ratio analysis methods. Many times these techniques fail to detect fault in transformer.  This paper describes Fuzzy logic approach for interpretation of DGA test results. In this paper conventional and fuzzy logic method of DGA interpretation are implemented in MATLAB. DGA test data available for various EHV transformers is applied to fuzzy logic and conventional methods of DGA interpretation. Results obtained are compared with actual condition of transformer. Based on results obtained accuracy of fault detection for fuzzy logic method is calculated and compared with conventional interpretation methods.

Keywords:
 DGA, Duval triangle, Fuzzy logic, IEC ratio .


References:

1.     W. Flores, E. Mombello, J.A. Jardini, and G. Ratta,, “A Novel Algorithm for the Diagnostics of Power Transformers Using Type -2 Fuzzy Logic Systems”, IEEE Trans. Article 978-1-4244-1904-3/08 2008.2.     Kjani Guri,Sadik Latifaj,Lindita Latifaj,Avni Alidemaj, “The filtration process of power transformer” Article, International Journal of Pure and Applied Research in Engineering and Technology,2012,volume1(1):88-99.
3.     S.Qaedi, and S. Seyedtabaii, “Improvement in Power Transformer Intelligent Dissolved Gas Analysis Method”at World Academy of Science, Engineering and Technology 61, 2012.

4.     IEC 60599-1999:03 Standard, Mineral oil-impregnated electrical equipment in service – Guide to the interpretation of dissolved and free gases analysis.

5.     IS 10593:2006, Standard, Mineral oil-impregnated electrical equipment in service – Guide to the interpretation of dissolved and free gases analysis.
6.     IEEE Guide for the Interpretation of Gases Generated in Oil-Immersed Transformers, IEEE Std C57.10-2008.   
7.     Shriya Shah “Online Monitoring Of Transformer Health Using Fuzzy Logic Approach ”,Proceedings of SARC-IRAJ International Conference, 14th July 2013, Delhi, India, ISBN: 978-93-82702-21-4.

8.     Nitin K. Dhote, Jagdish B. Helonde, “ Fuzzy Algorithm for Power Transformer Diagnostics ”, Hindawi Publishing Corporation, Advances in Fuzzy Systems, Volume 2013, Article ID 421621.

9.     Naveen Kumar Sharma , Prashant Kumar Tiwari , Yog Raj Sood “Review of Artificial Intelligence Techniques Application to Dissolved Gas Analysis on Power Transformer ”, International Journal of Computer and Electrical Engineering, Vol. 3, No. 4, August 2011.

10.  Ahmed Abu-Siada , Sdood Hmood “Fuzzy Logic Approach
for Power Transformer Asset Management Based on Dissolved Gas-in-Oil Analysis”, Chemical Engineering Transactions,33,997-1002 DOI: 10.3303/CET1333167

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7.

Authors:

Maya Stefanova, Rozalina Chuturkova, Evgeni Sokolovski, Nina Ilieva, Tsenislav Vlaknenski

Paper Title:

Prognosis Modeling of Nitrous Oxide Emissions after Catalytic Reduction

Abstract:    The present research aims to assess the effect of increasing the thickness of a secondary catalyst layer for N2O emission reduction at a nitric acid plant in Devnya, Bulgaria upon the ambient air quality. A mathematical modeling is done for simulating the dispersion of N2O emissions from the plant into the ground atmospheric layer taking into account the specific topographic and meteorological conditions of the region. Separate graphic models are done illustrating the dispersion of N2O emissions at two main scenarios – at current thickness of the secondary catalyst layer of 60 mm and at future increase of the catalyst layer thickness to 90 mm. Modeling results indicate that under equivalent meteorological conditions the planned increase of the secondary catalyst layer thickness leads to 69 % reduction of the annual average N2O concentration in the atmosphere. Maximum N2O concentrations over specific periods of time (1 hour, 8 hours and 24 hours) are also reduced over 3 times within the outlines of the exposed areas. Research results provide prognosis on the impact of the increased thickness of the secondary catalyst layer as a measure for N2O emission reduction upon the ambient air quality of the source region. Prognosis modeling provides a tool for assessing the contribution of N2O emissions from nitric acid production to the overall greenhouse gas emissions in long-term future periods regarding the implementation of quantitative commitments under the Kyoto Protocol. 

Keywords:
   ambient air quality, greenhouse gas emissions, nitrous oxide, prognosis air dispersion modeling, secondary catalyst layer. 

References:

1.           The Kyoto Protocol to the United Nations Framework Convention on Climate Change, 1998
2.           European Environment Agency. Annual European Union greenhouse gas inventory 1990 – 2012 and inventory report 2014. EEA Technical report No 9 / 2014, Copenhagen, 2014

3.           Ravishankara A. R., Daniel J. S., Portmann R. W. Nitrous oxide: The dominant ozone-depleting substance emitted in the 21st century. Sci., 326 (5949), 123-125, 2009

4.           Intergovernmental Panel on Climate Change. Climate Change 2014 – synthesis report. Fifth Assessment Report of the Intergovernmental Panel on Climate Change. IPCC, Geneva, 2014

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6.           Agency for Energy and the Environment. Reduction of nitrous oxide in the nitric acid industry. Novem, Utrecht (The Netherlands), 2001

7.           European Commission. Integrated Pollution Prevention and Control. Reference Document on BAT for the manufacture of large volume inorganic chemicals – ammonia, acids and fertilizers, 2007

8.           Stefanova M. Industrial methods for nitrous oxide emission reduction. Ecological Engineering and Environment Protection, 12 (3-4), 89-100, 2013 [In Bulgarian]

9.           Perez-Ramirez J., Kapteun F., Schoffel K., Moulijn J. A. Formation and control of N2O in nitric acid production. Where do we stand today? Appl. Catal. B-Environ., 44 (2), 117-151, 2003

10.        Komvokis V. G., Marti M., Delimitis A., Vasalos I. A., Triantafyllidis K. S. Catalytic decomposition of N2O over highly active supported Ru nanoparticles (≤3 nm)prepared by chemical reduction with ethylene glycol. Appl. Catal. B-Environ., 103 (1–2), 62-71, 2011

11.        Dai C., Lei Z., Wang Y., Zhang R., Chen B. Transfer and reaction performances of selective catalytic reduction of N2O with CO over monolith catalysts. Chin. J. Chem. Eng., 21 (8), 835-843, 2013

12.        Dacquin J. P., Lancelot C., Dujardin C., Da Costa P., Djega-Mariadassou G., Beaunier P., Kaliaguine S., Vaudreuil S., Royer S., Granger P. Influence of preparation methods of LaCoO3 on the catalytic performances in the decomposition of N2O. Appl. Catal. B-Environ., 91 (3), 596-604, 2009
13.        Wen B., Ma J. H., Chen C. C., Ma W. H., Zhu H. Y., Zhao J. C. Supported noble metal nanoparticles as photo/sono-catalysts for synthesis of chemicals and degradation of pollutants. Sci. China Chem., 54 (6), 887-897, 2011
14.        Haibo Zhou, Zhen Huang, Chao Sun, Feng Qin, Desheng Xiong, Wei Shen, Hualong Xu. Catalytic decomposition of N2O over CuxCe1―xOy mixed oxides. Appl. Catal. B-Environ., 125, 492-498, 2012

15.        Amrousse R., Katsumi T. Substituted ferrite MxFe1 − xFe2O4 (M = Mn, Zn) catalysts for N2O catalytic decomposition processes. Catal. Commun., 26, 194-198, 2012

16.        Iwanek E., Krawczyk K., Petryk J., Sobczak J. W., Kaszkur Z. Direct nitrous oxide decomposition with CoOx-CeO2 catalysts. Appl. Catal. B-Environ., 106 (3-4), 416-422, 2011

17.        Rico-Perez V., Parres-Esclapez S., Illan-Gomez M. J., De Lecea C. S. M., Bueno-Lopez A. Preparation, characterisation and N2O decomposition activity of honeycomb monolith-supported Rh/Ce0.9Pr0.1O2 catalysts. Appl. Catal. B-Environ., 107 (1–2), 18-25, 2011

17.

18.        Pasha N., Lingaiah N., Reddy P. S. S., Prasad P. S. S. Direct decomposition of N2O over cesium-doped CuO catalysts. Catal. Lett., 127 (1-2), 101-106, 2009

19.        Amrousse R., Po-Jul Chang, Choklati A., Friche A., Rai M., Bachar A., Follet-Houttemane C., Hori K. Catalytic decomposition of N2O over Ni and Mg-Magnetite catalysts. Catal. Sci. Technol., 3, 2288-2294, 2013

20.        Haibo Zhou, Peilei Hu, Zhen Huang, Feng Qin, Wei Shen, Hualong Xu. Preparation of NiCe mixed oxides for catalytic decomposition of N2O. Ind. Eng. Chem. Res., 52 (12), 4504-4509, 2013

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25.        Stefanova M., Chuturkova R. Research of the efficiency of a secondary catalyst for nitrous oxide emission reduction at a nitric acid plant. Pol. J. Environ. Stud., 23 (5), 1875-1880, 2014

26.        Stefanova M., Chuturkova R. Technical engineering for catalytic reduction of nitrous oxide emissions. GSTF Journal of Engineering Technology, 3 (2), 89, 2015

27.        Chuturkova R., Stefanova M. Assessment of the effect of nitrous oxide emissions from nitric acid production upon ambient air quality in Devnya region. Journal Scientific and Applied Research, 4, 163-170, 2013

28.        Stefanova M., Chuturkova R., Sokolovski E., Ilieva N. Dispersion modeling of nitrous oxide emissions from a nitric acid plant in Devnya region, Bulgaria. International Journal of Research in Engineering and Technology, 3 (5), 448-457, 2014

29.        Stefanova M., Chuturkova R. Catalytic reduction of nitrous oxide at a nitric acid plant in Bulgaria. Environ. Prot. Eng., 40 (3), 87-97, 2014

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41.        Sinha P. K., Rajesh Kumar. Statistical analysis to investigate the possible impact of climate change on water availability in Letaba river of South Africa. International Journal of Recent Technology and Engineering, 3 (6), 41-51, 2015

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8.

Authors:

Aparna Raut, Kiran Sukal, Anushree Khedekar, Monika Mohimkar

Paper Title:

Secured Password Verification Captcha Using Visual Cryptography

Abstract:     With the advent of internet, various online attacks has been increased and among them the most popular attack is phishing. Phishing is an attempt by an individual or a group to get personal confidential information such as passwords, credit card information from unsuspecting victims for identity theft, financial gain and other fraudulent activities. We are using visual cryptography algorithm for separating privileges. The use of visual cryptography is explored to preserve the privacy of an image CAPTCHA by decomposing the original image CAPTCHA into two shares (known as sheets) that are stored in separate database servers(one with user and one with server such that the original image CAPTCHA can be revealed only when both are simultaneously available; the individual sheet images do not reveal the identity of the original image CAPTCHA. Once the original image CAPTCHA is revealed to the user it can be used as the password. of attacks.

Keywords:
    Visual Cryptography, SCD, DES, LSB.


References:

1.       Akash Mehara, Emon Vuess ,Enhanced Security in Cloud Computing(IEEE 2014)
2.       Divya James, Mintu Philip, A Novel Anti Phishing framework based on Visual Cryptography(IEEE 2014)

3.       Video Watermarking for Copyright protection using Scene Change Detection Algorithm(White Paper)
4.       Pik Wah Chan, Student Member, IEEE, Michael R. Lyu, Fellow, IEEE, and Ronald T. Chin, A Novel Scheme for Hybrid Digital Video Water-marking: Approach, Evaluation and Experimentation.

5.       Hamid Shojanazeri, Wan Azizum Wan Adnam, Sharifah Mumtadzah Syed Ahmed, Video Watermarking Techniques for Copyright Protection and Content Authentication (International Journal of CIS IMA 2013)

6.       Rini T Paul, Review of Robust Video Watermarking Techniques(NCCSE 2011)

7.       Gopika V Mane, G G Chiddarwar, Review Paper on Video Watermarking Techniques(International Journal of Scientific Research Publication,2013,April 2013)


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