Volume-5 , Issue-6 , Dec 2017, ISSN 2321-3256 (Electronic Version) Go Back

• Open Access   Article

  Information Security: A Review on Steganography with Cryptography for Secured Data Transaction

  Kodge B. G.

  Research Paper | Journal (IJSRNSC)

  Vol.5 , Issue.6 , pp.1-4, Dec-2017

  CrossRef-DOI:   https://doi.org/10.26438/ijsrnsc/v5i6.14

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  Abstract
  This is an age of universal electronic connectivity & due to advanced hackers and crackers, the importance of security increases day by day. To protect the data from hackers and crackers, we prepared a very simple technique which avoids hacking of secret data. In this paper, we used two methods of encryption technique like- 1. Cryptography - converts plain text into coded form 2. Steganography- hides secret data into images. If we use each technique individually then there may be possibilities of decoding of data within some time limit. So, to avoid this and to provide powerful security, we combined both above mentioned techniques to encrypt and hide text data into the bits of bitmap image for secured data transaction.

  Key-Words / Index Term
  Steganography, Cryptography, Image Processing, Information Security

  References
  [1] A. Joseph Raphael, Dr. V Sundaram, International Journal of Computer Technology and Applications, Vol 2 (3), ISSN: 2229-6093, pp-626-630
  [2] Emil Wolf, Progress in Optics, Vol. 60, Elsevier, 2015, pp-139.
  [3] Cryptography and Network Security, forth edition, by William Stallings.
  [4] WAYN96 Wayner, P. Disappearing Cryptography, Boston: AP Professional Books, 1996.
  [5] Cryptography and Network Security, Principles and practices, second edition, by William Stallings.
  [6] The article licensed under the “Code Project Open License” (COPL) by Corinna John.
  [7] Digital Electronics by R. P. Jain, BPB Publications.
  [8] Domenico Bloisi and Luca Iocchi, IMAGE BASED STEGANOGRAPHY AND CRYPTOGRAPHY, Dipartimento di Informatica e Sistemistica Sapienza University of Rome, Italy.
  [9] M. Arora, S. Sharma, "Synthesis of Cryptography and Security Attacks", International Journal of Scientific Research in Network Security and Communication, Vol.5, Issue.5, pp.1-5, 2017.
  

  Citation
  Kodge B. G., "Information Security: A Review on Steganography with Cryptography for Secured Data Transaction," International Journal of Scientific Research in Network Security and Communication, Vol.5, Issue.6, pp.1-4, 2017

• Open Access   Article

  A Study of Intrusion Detection System using Efficient Data Mining Techniques

  P. Rutravigneshwaran

  Review Paper | Journal (IJSRNSC)

  Vol.5 , Issue.6 , pp.5-8, Dec-2017

  CrossRef-DOI:   https://doi.org/10.26438/ijsrnsc/v5i6.58

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  Abstract
  IDS is a software consequence monitors the humiliation or behavior plus investigate any immoral operation suggest itself. Fantastic increase and tradition of internet raises concerns in relation to how to defend and communicate the digital in order in a safe approach. Nowadays, hackers use different types of attacks for getting the valuable information. IntheproposedFast Hierarchical Relevance Vector Machine (FHRVM), AnalyticalHierarchy ProcessMethod (AHP) isusedtoselect the inputweightsandhiddenbiases. Simulation has been carried out using Math works MATLAB R2012a. KDD Cup 1999 dataset istakenfor testingthe performanceoftheproposedworkandtheresults indicate that FHRVM has achieved higher detectionrate and lowfalse alarmrate thanthat ofexistingSVMalgorithm. This research evaluate the efficiency of machine learning methods in intrusion detection system, together with classification tree and support vector machine, with the expect of given that reference for establishing intrusion detection system in future. Compared with further interrelated works in data mining-based intrusion detectors accuracy, detection rate, false alarm rate. It moreover show improved act than KDD Winner, particularly used for two types of attacks namely, U2R type and R2L type. Comparison results of C4.5, SVM. we finds that C4.5 is superior to SVM in accuracy and detection; in accuracy for Probe,Dos and U2R attacks, C4.5 is also better than SVM and FHRVM; but in false alarm rate FHRVM is better. In this paper enhance that FHRVM is better than c4.5 and SVM for U2R attack & R2L attack.

  Key-Words / Index Term
  Classification tree, SVM, FHRVM, Internet attack, Intrusion detection system (IDS)

  References
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  [15] Reda Elbasiony, Elsayed Sallam, Tarek Eltobely, Mahmoud Fahmy, "A hybrid network intrusion detection framework based on random forests and weighted k-means", Ain Shams Engineering Journal, Elsevier, 2013 4, 753–762.
  

  Citation
  P. Rutravigneshwaran, "A Study of Intrusion Detection System using Efficient Data Mining Techniques," International Journal of Scientific Research in Network Security and Communication, Vol.5, Issue.6, pp.5-8, 2017

• Open Access   Article

  Data Fusion in Wireless Sensor Network-A Survey

  Ishita Chakraborty, Prodipto Das

  Survey Paper | Journal (IJSRNSC)

  Vol.5 , Issue.6 , pp.9-15, Dec-2017

  CrossRef-DOI:   https://doi.org/10.26438/ijsrnsc/v5i6.915

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  Abstract
  Wireless Sensor Network is a network with a number of sensor nodes deployed in a geographical area. These nodes are deployed to various kinds of environmental conditions like humidity, noise, temperature etc. The sensors are used for collecting data related to varying environmental conditions where they are deployed in. The primary constraint in a WSN is energy. Since the sensor nodes are battery operated, collecting and transmitting data will cost a lot of energy resources. Therefore, to maximize the lifetime of sensor networks, aggressive energy optimization techniques have to be used for ensuring that energy is conserved for the sensor nodes. This paper discusses about wireless sensor network, its architecture, data aggregation or fusion related algorithms.

  Key-Words / Index Term
  

  References
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  [9]Chi-Tsun Cheng, Henry Leung, Member, IEEE, and Patrick Maupin, “A Delay-Aware Network Structure for Wireless Sensor Networks With In-Network Data Fusion”, IEEE Sensors Journal, , May 2013, Vol. 13, No. 5, pp. 1622-1630.
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  [13] Maen Takruri, and Subhash Challa “Data Fusion Approach for Error Correction in Wireless Sensor Networks” Published in InTech December 2010, Chapter-1 of the book Wireless Sensor Networks: Application-Centric Design, pp. 1-17.
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  [16]Xiangbin Zhu,Wenjuan Zhang, “A Mobile Agent-based Clustering Data Fusion Algorithm in WSN”, in Proc. of International Science Index, Mathematical and Computational Sciences ,Vol. 4, No.8, 2010, pp. 1167-1170.
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  Citation
  Ishita Chakraborty, Prodipto Das, "Data Fusion in Wireless Sensor Network-A Survey," International Journal of Scientific Research in Network Security and Communication, Vol.5, Issue.6, pp.9-15, 2017

• Open Access   Article

  Comparison of various Anonymization Technique

  G. Pannu, S. Verma, U. Arora and A. K. Singh 4

  Review Paper | Journal (IJSRNSC)

  Vol.5 , Issue.6 , pp.16-20, Dec-2017

  CrossRef-DOI:   https://doi.org/10.26438/ijsrnsc/v5i6.1620

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  Abstract
  Cloud based service is in trend for storing the database. Thus, exposing the data of the individual to the outside world is at the risk. Our major concern is to maintain privacy so that the data of the individual is not exposed to the adversary. In this paper, various techniques, how they have implemented, its new ideas and the models in order to implement privacy have been discussed. Few such techniques discussed are k-anonymity, l-diversity, t-closeness, (X, Y) anonymity, δ-Presence. All these techniques have its own approaches to secure data but in future, further new approaches having less time and space complexity can be thought of.

  Key-Words / Index Term
  Anonymization, Generalization, Supperession, Privacy

  References
  [1] JHS Tomar, JS Kumar, "A Review on Big Data Mining Methods", International Journal of Scientific Research in Network Security and Communication, Vol.4, Issue.3, pp.7-14, 2016.
  [2] X. Wu, X. Zhu, G. Q. Wu and W. Ding, "Data mining with big data," in IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 1, pp. 97-107, Jan. 2014.
  [3] H. Taneja, Kapil and A. K. Singh, “Preserving Privacy of Patients based on Re-identification Risk,” 4th International Conference on Eco-friendly Computing and Communication Systems (ICECCS), vol. 70, pp. 448-454, 2015,.
  [4] B. Zhou, J. Pei. And W. Luk,”A brief survey on anonymization technique for privacy preserving publishing of social network data,” ACM SIGKDD Explorations Newsletter, ACM New York, NY, USA, vol. 10, no. 2, pp. 12-22, Dec. 2008.
  [5] T. Li and N. Li, "Injector: Mining Background Knowledge for Data Anonymization," 2008 IEEE 24th International Conference on Data Engineering, Cancun, pp. 446-455, 2008.
  [6] R. Mahesh and T. Meyyappan, "Anonymization technique through record elimination to preserve privacy of published data," 2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering, Salem, pp. 328-332, 2013.
  [7] M. Balusamy and S. Muthusundari, "Data anonymization through generalization using map reduce on cloud," Proceedings of IEEE International Conference on Computer Communication and Systems ICCCS14, Chennai, pp. 039-042, 2014.
  [8] P. Deivanai, J. J. V. Nayahi and V. Kavitha, "A hybrid data anonymization integrated with suppression for preserving privacy in mining multi party data," 2011 International Conference on Recent Trends in Information Technology (ICRTIT), Chennai, Tamil Nadu, pp. 732-736, 2011.
  [9] L. Sweeney, “k-anonymity: A model for protecting privacy,” International journal on uncertainty, fuzziness and knowledge-based systems, vol. 10 no. 5, pp. 557-570, 2002.
  [10] A. Machanavajjhala, J. Gehrke, D. Kifer and M. Venkitasubramaniam, "L-diversity: privacy beyond k-anonymity," 22nd International Conference on Data Engineering (ICDE’06), Atlanta, GA, USA, pp. 24-24, 2006.
  [11] K. Wang and B. C. M. Fung, “Anonymizing Sequential Realease,” KDD’06, Philadellphia, Pennsylvania, USA, August 20-23, pp. 1-10, 2006.
  [12] N. Li, T. Li and S. Venkatasubramanian, "t-Closeness: Privacy Beyond k-Anonymity and l-Diversity," 2007 IEEE 23rd International Conference on Data Engineering, Istanbul, pp. 106-115, 2007.
  [13] K. LeFevre, D. J. DeWitt and R. Ramakrishnan, “Incognito: Efficient Full-Domain K-Anonimity,” Proc. 2005 ACM Sigmod Int. Conf. Management of data, Maryland, June14-16, pp. 49-60, 2005.
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  [15] M. E. Nergiz and C. Clifton, "δ-Presence without Complete World Knowledge," in IEEE Transactions on Knowledge and Data Engineering, vol. 22, no. 6, pp. 868-883, June 2010.
  

  Citation
  G. Pannu, S. Verma, U. Arora and A. K. Singh 4 , "Comparison of various Anonymization Technique," International Journal of Scientific Research in Network Security and Communication, Vol.5, Issue.6, pp.16-20, 2017

• Open Access   Article

  Study of reflection losses in tuned and EBG power dividers at S, C, X and upper Ku bands

  Suresh Angadi, Karteek Viswanadha, R.Roopa Sree, Sowjanya Madaka

  Research Paper | Journal (IJSRNSC)

  Vol.5 , Issue.6 , pp.21-26, Dec-2017

  CrossRef-DOI:   https://doi.org/10.26438/ijsrnsc/v5i6.2126

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  Abstract
  This paper presents the study of reflection losses in a tuned 8 port power divider with circular and square slotted Electromagnetic Bandgap structures (EBG) by varying the dimensions of the slots as well as the transmission lines. Further, the tuning feature makes the proposed power divider not only compact but also to work at S, C, X and the upper Ku bands by introducing periodic structures and thus enhancing the bandwidth with less reflection losses. Various parameters like reflection coefficient, insertion loss of the tuned EBG power divider are studied by varying the number of slots in the ground plane using Agilent Advanced Design System 2009 and 2016 simulators respectively.

  Key-Words / Index Term
  Power divider , bandwidth, insertion loss, reflective loss, X, Ku-band,ADS

  References
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  [12] Song, K., Fan, Y. ,Zhang, B., “Ku-band multiway rectangular waveguide power divider”, Microwave and Optical Technology Letters, Vol.52, Issue.11, pp. 2560–2563, 2015.
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  Citation
  Suresh Angadi, Karteek Viswanadha, R.Roopa Sree, Sowjanya Madaka, "Study of reflection losses in tuned and EBG power dividers at S, C, X and upper Ku bands," International Journal of Scientific Research in Network Security and Communication, Vol.5, Issue.6, pp.21-26, 2017

• Open Access   Article

  Effective Scheduling in Networks - TRUMP

  A. Caroline Mary, A. V. Senthil Kumar

  Review Paper | Journal (IJSRNSC)

  Vol.5 , Issue.6 , pp.27-30, Dec-2017

  CrossRef-DOI:   https://doi.org/10.26438/ijsrnsc/v5i6.2730

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  Abstract
  Due to the growth of internet, there arises the need for large amount of data transactions in the Network. Making the best uses of resources is the most important thing. Resources like bandwidth should be used effectively to make sure that the packets reaches on time. Issues like loss of packets, packet delay should be addressed. Scheduling and Routing have to be perfect enough so that the data transactions in network takes place at ease. Number of routing and scheduling algorithm do exists and its necessary to choose the best routing path and to schedule it. When there are n number of packets ready to be scheduled, scheduling algorithms like FCFS, Time to live, Priority based , Adaptive double ring scheduling etc can be considered according to the needs. To make effective use of resources backlogs can be considered while Scheduling. Issues like packet loss are expected because of the importance over the larger queue. Solutions are discussed.

  Key-Words / Index Term
  Backlog, Packets, Scheduling

  References
  [1]. Zhenzhen Jiao, Wei Gong, Cheng Li, , Baoxian Zhang. Virtual Gradient based Back-Pressure Scheduling in Wireless Multi-Hop Networks. IEEE ICC 2015 - Mobile and Wireless Networking Symposium. PP. 3281 - 3286
  [2] Loc X. Bui, Associate Member, IEEE, R. Srikant, Fellow, IEEE, and Alexander Stolyar. A Novel Architecture for Reduction of Delay
  and Queueing Structure Complexity
  in the Back-Pressure Algorithm. IEEE/ACM TRANSACTIONS ON NETWORKING, VOL. 19, NO. 6, DECEMBER 2011. PP- 1597 - 1609
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  [5]. Bo Ji, Changhee Joo, and Ness B. Shroff. Exploring the Inefficiency and Instability of Back-Pressure Algorithms. 2013 Proceedings IEEE INFOCOM.PP- 1528 – 1536.
  [6]. Prathap M1 , Antony Selvadoss.Thanamani2Real-time Packet Performances under Socket Application. IJSRNSC, 201784-89
  

  Citation
  A. Caroline Mary, A. V. Senthil Kumar , "Effective Scheduling in Networks - TRUMP," International Journal of Scientific Research in Network Security and Communication, Vol.5, Issue.6, pp.27-30, 2017