Volume-6 , Issue-2 , Apr 2018, ISSN 2321-3256 (Electronic Version) Go Back

• Open Access   Article

  Prediction Model for Under-Graduating Student’s Salary Using Data Mining Techniques

  Himanshi, Komal Kumar Bhatia

  Research Paper | Journal (IJSRNSC)

  Vol.6 , Issue.2 , pp.50-53, Apr-2018

  CrossRef-DOI:   https://doi.org/10.26438/ijsrnsc/v6i2.5053

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  This paper reviews a salary prediction system using the profile of graduate students. A model is generated to present the predicted salary for individual students having similar attributes by using a data mining techniques. Data mining focuses on gathering knowledge from heterogeneous databases or data warehouses and extracting meaningful or interesting patterns from the collection. The data mining task is classified into two categories: descriptive tasks and predictive tasks. Descriptive tasks deal with the data in the database. Predictive tasks predict the class of the objects whose class label is unknown. Descriptive tasks include association, clustering, and summarization while predictive tasks include classification, prediction and time series analysis. The salary prediction model is designed using KNN classifier. In this work, we also made an experiment to compare data mining techniques including Decision trees, Naive Bayes, K-Nearest Neighbor on two databases with the different number of attributes.

  Key-Words / Index Term
  Salary prediction system; data mining; Educational data mining; Classification technique

  References
  [1] A. Parkavi1, K. Lakshmi “Predicting the Course Knowledge Level of Students using Data Mining Techniques “,IEEE International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), (2017).
  [2] A. M Shahiri, W. Husain and N.A Rashid, “A Review on Predicting Students’ Performance using Data mining Techniques,” in The Third Information System Information Council
  [3] R.A. Huebner, “A survey of educational data mining research,” Research in Higher Education Journal.
  [4] Improving Students’ Motivation to Study using Salary Prediction System Pornthep Khongchai, Pokpong Songmuang Department of Computer Science Faculty of Science and Technology
  [5] S. Anupama Kumar Vijayalakshmi M.N. “Inference of Naïve Baye’s Technique on Student Assessment Data”, R.V. College of Engineering, Bangalore, India
  [6] John Jerrim, “Do college students make better predictions of their future income than young adults in the labor force?”, Education Economics, 23:2, p 162-179, 2013.
  [7] Karlar Hamlen and William A. Hamlen,” Faculty Salary as a predictor of student outgoing salaries from MBA programs”, Journal of Education for Business
  [8]”Efficient Classification of Data Using Decision Tree” by Bhaskar N. Patel, Satish G. Prajapati, and Dr. Kamaljit I. Lakhtaria.
  [9] Kayah, F. “Discretizing Continuous Features for Naive Bayes and C4. Classifiers”. University of Maryland publications: College Park, MD, USA.
  [10] S. Taruna, Mrinal Pandey, “An empirical analysis of classification techniques for predicting academic performance”, IEEE Advances Computing Conference (2004).
  

  Citation
  Himanshi, Komal Kumar Bhatia, "Prediction Model for Under-Graduating Student’s Salary Using Data Mining Techniques," International Journal of Scientific Research in Network Security and Communication, Vol.6, Issue.2, pp.50-53, 2018

• Open Access   Article

  The Quantum Key Distribution, Attenuation and Propagation over Ocean Surface for Various Naval Applications

  Suresh Kumar P H, R. Rajesh

  Review Paper | Journal (IJSRNSC)

  Vol.6 , Issue.2 , pp.54-61, Apr-2018

  CrossRef-DOI:   https://doi.org/10.26438/ijsrnsc/v6i2.5461

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  The quantum encryption is a method of key transfer in cryptography by using quantum entanglement of photons. The real power of quantum entanglement is instantaneous communication that is non-interceptable. The advantage of quantum encryption method is, it can be incorporated with conventional encryption methods safely. The quantum cryptography can replace conventional key exchange mechanism with the polarized photons using channels like optic fiber cables. Quantum cryptographic can also provide far and secure data communication. The present day experiments clearly proved that the quantum cryptography can be implemented through medium like optic fiber cable or air. But the distance of transmission through the air is limited by rule of line of sight propagation. The quantum key distribution will have uses in different types of communication between distant parts of earth. So this paper discussing how the visual horizon affect the quantum key distribution in naval applications.

  Key-Words / Index Term
  Quantum cryptography, Communication network, Free-space optical communication

  References
  [1] Marie A. wreight “The Impact of Quantum Computing on Cryptography” Network Security Volume 2000,Issue 9,p 13-15,2000
  [2] Diffie W and Hellman L, “New Directions in Cryptography”, IEEE Transac on Information Theory, No. 6 ,1976.
  [3] Richard P Feynman, “Simulating physics with computers” , International journal of theoretical physics ,Volume 21 , Nos 6/7 , pp.467-488,1982
  [4] David Deutsch “Quantum theory, the Church-Turing principle and the universal quantum computer”, Proceedings of the Royal Society of London A 400, pp 97-117 , 1985.
  [5] S J Weisner:1983, “Conjugate coding”, SIGACT News 15:1 , pp.78-88 , 1983
  [6] D. Deutsch, “Quantum Computational Networks” Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences, Vol. 425, No. 1868 , pp. 73-90, Sep. 8, 1989
  [7] Ekert A.K., ‘‘Quantum cryptography based on Bell’s theorem’’ , Phys. Rev. Lett. 67, 661–663, 1991.
  [8] C.H. Bennett and G. Brassard, ‘‘Quantum cryptography: Public-key distribution and coin tossing,’’, Proceedings of IEEE International Conference on Computers, Systems and Signal Processing, Bangalore, India, pp. 175-179, 1984
  [9] David.K..Lynch, “Visually discerning the curvature of the Earth”, December 2008, Vol.47, No.34 , pp.42.
  [10] A. P. French, “How far away is the horizon?” American. J. Phys. Vol. 50, pp.795–799 ,1982.
  [11] Gwenaelle Vest, Markus Rau, Lukas Fuchs, “Design and Evaluation of a Handheld Quantum Key Distribution Sender module”, IEEE journal of selected topics in quantum electronics,
  [12] Moore, John.Elvin , Captain R .N Jane “American fighting ships of the twentieth century” , New York : Mallard Press, 1991, pp.75-240
  [13] Mazin Ali Abd Ali , Miami Abdulatteef Mohammed, Effect of Atmospheric Attenuation on Laser Communications for Visible and Infrared Wavelengths, Journal of Al-Nahrain University,Vol.16 (3), September, 2013, pp.133-140
  

  Citation
  Suresh Kumar P H, R. Rajesh, "The Quantum Key Distribution, Attenuation and Propagation over Ocean Surface for Various Naval Applications," International Journal of Scientific Research in Network Security and Communication, Vol.6, Issue.2, pp.54-61, 2018

• Open Access   Article

  A Critical Study on RFID

  R. Maruthaveni, V. Kathiresan

  Review Paper | Journal (IJSRNSC)

  Vol.6 , Issue.2 , pp.62-65, Apr-2018

  CrossRef-DOI:   https://doi.org/10.26438/ijsrnsc/v6i2.6265

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  Radio-Frequency Identification Device (RFID) uses radio waves to read and capture information stored on a tag, attached to an object. A tag can be read from several feet away and does not need to be within the direct line-of-sight of the reader to be tracked. A RFID system is made up of two parts: a tag or label and a reader. RFID tags are embedded with a transmitter and a receiver. It can automatically identify a person, a package or an item. Barcodes are really simple and can be easily replicated or counterfeited where as RFID is effective, cheap and secure. So RFID technology has many applications in military zone, inventory management, supply chain, product tracking, transportation, and logistics.

  Key-Words / Index Term
  RFID, RFID tag, RFID Reader, Active Tag, Passive Tag

  References
  [1]. Neeraj Chhabra “Comparative Analysis of Different Wireless Technologies” International Journal Of Scientific Research In Network Security & Communication, Research Paper Vol-1, Issue -1, Issue 1, Issue-5 5 5 ISSN: 2321-3256
  [2]V. Daniel Hunt, Albert Puglia B.A., M.A., Mike Puglia B.S., “RFID : A Guide to Radio Frequency Identification” First published: August 2006 Print ISBN:9780470107645 Copyright © 2007 Technology Research Corporation
  [3]R. Want,” An introduction to RFID technology” Published in IEEE Pervasive Computing Volume: 5, Issue: 1, Print ISSN: 1536-1268 Jan.-March 2006
  [4].Albert Lozano-Nieto “RFID Design Fundamentals and Applications” CRC Press, Taylor & Francis Group, 2011, ISBN: 978-1-4200-9125-0. 15 October 2010
  

  Citation
  R. Maruthaveni, V. Kathiresan, "A Critical Study on RFID," International Journal of Scientific Research in Network Security and Communication, Vol.6, Issue.2, pp.62-65, 2018

• Open Access   Article

  A Review of Vulnerabilities and Attacks in Mobile Ad-Hoc Network

  Shailja Sharma

  Review Paper | Journal (IJSRNSC)

  Vol.6 , Issue.2 , pp.66-69, Apr-2018

  CrossRef-DOI:   https://doi.org/10.26438/ijsrnsc/v6i2.6669

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  Abstract
  MANETs has become an important technology in recent years because of the rapid proliferation of wireless devices. MANETs are highly vulnerable to attacks due to the open access medium, dynamically changing network topology and lack of centralized monitoring point. The various attacks against mobile nodes are flooding, black hole, warm hole, packet dropping and Byzantine attack as well as Collaborative attacks i.e. human attackers or criminal organizations etc. We have addressed the Vulnerabilities and attacks in MANETs in this paper.

  Key-Words / Index Term
  MANET, Protocols, Attacks, Security Issues

  References
  [1] Umesh Kumar Singh, Kailash Phuleria, Shailja Sharma & D.N. Goswami, An analysis of Security Attacks found in Mobile Ad-hoc Network, International Journal of Advanced Research in Computer Science, Volume 5, No. 5, pp. 34-39, May-June 2014.
  [2] Umesh Kumar Singh, Kailash Phuleria, Shailja Sharma & D.N. Goswami, A Comparative study of Collaborative Attacks on Mobile Ad-Hoc Networks.
  [3] H. Deng, W. Li, and D. P. Agrawal, "Routing security in wireless ad hoc networks," IEEE Communications Magazine, vol. 40, pp. 70-75, 2002
  [4] H. Yang, H. Luo, F. Ye, S. Lu, and L. Zhang, "Security in Mobile Ad Hoc Networks: Challenges and Solutions," IEEE Wireless Communications, vol. 11, pp. 38-47, 2004.
  [5] L. Peters, F. De Turck, I. Moerman, B. Dhoedt, P. Demeester, and A. A. Lazar, "Network layer solutions for wireless shadow networks," Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies, IC#/ICO#S/MCL`06, vol. 2006, p. 1628384, 2006.
  [6] S. A. Razak, S. M. Furnell, and P. J. Brooke, "Attacks against Mobile Ad Hoc Networks Routing Protocols," 2004.
  [7] C.-C. Chiang, "Routing in Clustered Multihop, Mobile Wireless Networks with Fading Channel," Proc. /E€€ SlCON `97, Apr. 1997, pp. 197-211.
  [8] B. Kannhavong, H. Nakayama, Y. Nemoto, N. Kato, A. Jamalipour. A survey of routing attacks in mobile ad hoc networks. Security in wireless mobile ad hoc and sensor networks, October 2007, page, 85-91.
  [9] Z. Karakehayov, “Using REWARD to Detect Team Black- Hole Attacks in Wireless Sensor Networks,” Wksp. Real-World Wireless Sensor Networks, June 20–21, 2005.
  [10] S. Lee, B. Han, and M. Shin, “Robust Routing in Wireless Ad Hoc Networks,” 2002 Int’l. Conf. Parallel Processing Wksps., Vancouver, Canada, Aug. 18–21, 2002.
  [11] H. Yang, H. Luo, F. Ye, S. Lu, and L. Zhang, "Security in Mobile Ad Hoc Networks: Challenges and Solutions," IEEE Wireless Communications, vol. 11, pp. 38-47, 2004.
  [12] Shuyao Yu, Youkun Zhang, Chuck Song and Kai Chen, security architecture for Mobile Ad Hoc Networks”. http://www.portal.prozhe118.com, pp.1-4.
  [13] L. Peters, F. De Turck, I. Moerman, B. Dhoedt, P. Demeester, and A. A. Lazar, "Network layer solutions for wireless shadow networks," Proceedings of the International Conference on networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies, , vol. 2, 2006.
  [14] S. A. Razak, S. M. Furnell, and P. J. Brooke, "Attacks against Mobile Ad Hoc Networks Routing Protocols," www.scm.tees.ac.uk, pp.-1-6, 2004.
  [15] A. Mishra, Security and Quality of Service in Ad Hoc Wireless Networks, 2008.
  [16] L. Tamilselvan and V. Sankaranarayanan, "Prevention of co-operative black hole attack in MANET," Journal of networks, vol. 3, pp. 13-20, 2008.
  [17] H. Deng, W. Li, and D. P. Agrawal, "Routing security in wireless ad hoc networks," IEEE Communications Magazine, vol. 40, pp. 70-75, 2002.
  [18] S. Saraeian, F. Adibniya, M. GhasemZadeh, and S. Abtahi, "Performance Evaluation of AODV Protocol under DDoS Attacks in MANET," Proceedings of World Academy of Science, Engineering and Technology, vol. Vol. 33, pp. 501 - 503, September 2008.
  [19] Abolhasan, M., Wysocki, T., and Dutkiewicz, E. A review of routing protocols for mobile ad hoc networks. Ad Hoc Networks, 2(1), 2004, pp. 1–22.
  

  Citation
  Shailja Sharma, "A Review of Vulnerabilities and Attacks in Mobile Ad-Hoc Network," International Journal of Scientific Research in Network Security and Communication, Vol.6, Issue.2, pp.66-69, 2018