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The fusion of multiple biometric traits helps to increase accuracy in terms of genuine acceptance ratio (GAR). Here Iris and Palmprint fusion at Matching Score level is performed. The feature extraction in spatial domain using Thepade’s sorted ternary block truncation coding is taken here to reduce the feature vector size of image. Iris and Palmprint are together taken here for identification. The test beds of 60 pairs of Iris and Palmprint samples of 10 persons (6 per person of iris as well as Palmprint) are used as test bed for experimentation. Experimental result in matching score proportion of Iris: Palmprint (1:4) using TSTBTC given better performance as indicated by higher GAR values than all other scores for matching score level fusion of proposed multimodal biometric identification using TSTBTC.

Multimodal Biometric, Matching Score level fusion, GAR, TSTBTC

[1] H.B.Kekre, Sudeep D. Thepade, “Image Retrieval using
Augmented Block Truncation Coding Techniques”, ACM
International Conference on Advances in Computing,
Communication and Control (ICAC3- 2009), pp. 384
23-24 Jan 2009, Fr. Conceicao Rodrigous College of Engg.,
Mumbai.Uploaded on online ACM portal.
[2] H. B. Kekre, Sudeep Thepade, Rik Kamal Kumar Das,
Saurav Ghosh,” Performance Boost of Block Truncation
Coding based Image Classification using Bit Plane Slicing
International Journal of Computer Applications Volume 47
No.15, June 2012.
[3] Dr.Sudeep D.Thepade, Rupali K.Bhondave,”
Multimodal Identification Technique using Iris & Palmprint
traits with Various Matching Score Level Proporti
BTC of Bit Plane Slices”.2015
Pervasive Computing(ICPC),Jan 9
[4] Dr.Sudeep D.Thepade, Pritam H. Patil
Content Summarization in Videos using
Extraction with Thepade's Sorted Ternary
Coding and Assorted Similarity
International Conference on Communication, Information &
Computing Technology (ICCICT), Jan. 16
India.
[5] Dr.Sudeep D.Thepade, Nalini B.Yadav,” Assessment of
Similarity Measurement Cri
Ternary Block Truncation Coding(TSTBTC) for Content
Based Video Retrieval”.2015
Communication, Information & Computing Technology
(ICCICT), Jan. 16-17, Mumbai, India.
[6] Dr.H.B.Kekre, Ms. Swapna Borde, “Co
Retrieval,”National Conference on Applications of Digital
Signal Processing, January19-
[7] Dr.Sudeep D.Thepade, Rupali K.Bhondave,”
Weighted Score Level Fusion in Multimodal Biometric
Identification using Iris & Palmprint Trai
Conference on Futuristic Trendsin Computational Analysis
and Knowledge Management Feb 25
[8] The Hong Kong Polytechnic University (PolyU) FKP
Database:www4.comp.polyu.edu.hk~biometrics/2D_3D_Pal
m print.html.
[9] Palacky university iris database:
"http://www.advancedsourcecode.com

Rupali K Bhondave and Sudeep Thepade, "Thepade’s Sorted Ternary Block Truncation Coding with Score level fusion for Multimodal Biometric Identification using Iris &Palmprint," International Journal of Computer Sciences and Engineering, Vol.3, Issue.5, pp.113-116, 2015.

Advanced technology has resulted in drastic growth of multimedia data. In day to day life huge amount of multimedia data is generated an uploaded over web. Storing this multimedia data has become a challenging task. Storing the data in video format efficiently and retrieving it accurately has become important. If the data is appropriately classified under different categories and then stored, it can be retrieved faster. In this paper a novel video classification techniques has been proposed to classify the videos. Transform domain has the property of energy compaction that helps to figure out the important data in the video and neglect the least important data. Thus the proposed techniques uses the Fourier transformed video content as the attributes for classification process. Twelve different classification algorithms are used and six fractional portions of transformed content forming the feature vectors of six different sizes are experimented. With the proposed technique highest classification accuracy of 89.16% is obtained.

Content based video classification, Fourier transform, Fractional energy, data mining classifiers

[1] Ambika Ashirvad Mohanty, Bipul Vaibhav, “A Frame-based Decision Pooling Method for Video Classification “, Annual IEEE India Conference (INDICON), 2013
[2] Mahmood Karimian, Mostafa Tavassolipour, “Exploiting Multiview Properties In Semi-Supervised Video Classification”, 6'th International Symposium on Telecommunications (IST'2012)
[3] Dr. Sudeep D. Thepade, Rik Das,” Performance Comparison of Feature Vector Extraction Techniques in RGB Color Space using Block Truncation Coding for Content Based Image Classification with Discrete classifiers” INDICON 2014.
[4] Dr. Sudeep D. Thepade, Madhura M. Kalbhor, Video Classification using Sine, Cosine, and Walsh Transform with Bayes, Function, Lazy, Rule and Tree Data Mining Classifier. International Journal of Computer Applications (0975 –8887) Volume 110 –No. 3, January 2015.
[5] Dr. Sudeep D. Thepade, Madhura M. Kalbhor,Video classification with fractional energy of Haar, Hartley, Slant and Kekre transforms using Function , Bayes, Tree, Lazy and Rule classifiers. A-Blaze, Nodia, 2015
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[9] Ian H.Witten and Elbe Frank, (2005) "Datamining Practical Machine Learning Tools and Techniques," Second Edition, Morgan Kaufmann, San Fransisco.

Madhura M. Kalbhor and Sudeep D. Thepade, "Video Classification using Fractional Fourier Transformed Content of Video," International Journal of Computer Sciences and Engineering, Vol.3, Issue.5, pp.117-121, 2015.

Wireless Sensor Networks are emerging as the latest tier for data monitoring in many applications like commercial, industrial, military etc. Security in WSN’s is one of the major challenges in order to provide protected and authenticated communication between sensor nodes. However providing secure routing in WSN is a matter of fundamental concern. Although a wide variety of routing protocols have been proposed for WSN’s but most of them do not take security into account as a main goal. Routing attacks can have devastating effects on WSNs .Hence it is the major challenge when designing robust security mechanism for WSNs. In this paper ,we examine some of the most common routing attacks, routing protocols and security schemes in WSNs. It is suggested that in order to overcome the challenges of routing attacks in WSNs , some new routing protocols or strategy must be carefully designed so that attacks can be rendered meaningless .

WSN, Security, Attack, Routing. Survey

[1] Chris Karlof, David Wagner, “Secure Routing in Wireless Sensor Networks", Attacks and Countermeasures”, Ad Hoc Networks (elsevier), Page: 299-302, 2003.
[2] Santi, P. “Topology control in wireless ad hoc and sensor networks” Chichester, England: John Wiley & Sons, 2005.
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[4] Clement Ogugua Asogwa, Xiaoming Zhang, Degui Xiao, Ahmed Hamed, “Experimental Analysis of AODV, DSR and DSDV Protocols Based on Wireless Body Area Network” Communications in Computer and Information Science,Springer-VerlagBerlin Heidelberg,Volume 312, pp 183-191, 2012.
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[1] Nasrin Hakim Mithila, “Performance analysis of DSDV, AODV and DSR in Wireless Sensor Network” International Journal of Advanced Research in Computer Science and Electronics Engineering (IJARCSEE) Volume 2, Issue 4, pp.395-404, April 2013
[2] Ipsita Panda “A Survey on Routing Protocols of MANETs by Using QoS Metrics” International Journal of Advanced Research in Computer Science and Software Engineering, Volume 2, Issue 10, pp. 121-129, 2012.
[6] Jamal Al-Karaki, and Ahmed E. Kamal, “Routing Techniques in Wireless Sensor Networks: A Survey“, IEEE Communications Magazine, vol 11, no. 6, pp. 6-28, Dec. 2004.
[7] 13. Kemal Akkaya and Mohamed Younis, “A Survey on Routing Protocols for Wireless Sensor Networks”, Ad hoc Networks, vol. 3, no. 3, pp. 325-349, May 2005.
[8] 5.C. Karlof and D. Wagner, Secure Routing in Sensor Networks: Attacks and Countermeasures, In Proc. of First IEEE International Workshop on Sensor Network Protocols and Applications, 2003.
[9] N. Bulusu, J. Heidemann, and D. Estrin, “GPS-less Low Cost Outdoor Localization for Very Small Devices”, IEEE Personal Communication Magazine, vol. 7, no. 5, pp. 28-34, Oct. 2000
[10] A.Babu Karuppiah, T.Meenakshi, T.I.Mano Ranjitha & S.Vivitha, " False Misbehaviour Elimination in Watchdog Monitoring System Using Change Point in a Wireless Sensor Network", An International Journal on Graduate Research in Engineering and Technology (GRET), pp. 31-35, 2013
[11] S. Nishanthi, "Intrusion Detection in Wireless Sensor Networks Using Watchdog Based Clonal Selection Algorithm", IJREAT International Journal of Research in Engineering & Advanced Technology, Volume 1, Issue 1, March, 2013
[12] Silva, A.P.R.D., M.H.T. Martins, B.P.S. Rocha, A.A.F.Loureiro and L.B. Ruiz, "Decentralized Intrusion Detection In Wireless Sensor Networks" Proceedings of the 1st ACM International Workshop on Quality of Service and Security in Wireless and Mobile Networks, (QSSWMN; 25), pp: 16-23, 2005
[13] Xie, M., S. Han, B. Tian and S. Parvin, "Anomaly detection in wireless sensor networks: A survey" Journal of Network and Computer Application, pp.1302-1325, 2011
[14] Pires, W.R., T.H. De Paula Figueiredo, H.C. Wong and A.A.F. Loureiro, "Malicious node detection in wireless sensor networks", Proceedings. 18th International, Parallel and Distributed Processing Symposium, (PDS’ 04), pp: 1-7, 2004.
[15] Onat, I. and A. Miri, "An Intrusion Detection System For Wireless Sensor Networks", Proceedings of the IEEE International Conference on, Wireless And Mobile Computing, Networking And Communications, IEEE Xplore Press, pp: 253-259, Aug. 22-24, 2005.
[16] Krontiris, I., T. Dimitriou and F.C. Freiling, "Towards Intrusion Detection In Wireless Sensor Networks", Proceeding of the 13th European Wireless Conference, CiteSeer, 2007.
[17] Krontiris, I., T. Dimitriou, T. Giannetsos and M. Mpasoukos, "Intrusion Detection Of Sinkhole Attacks In Wireless Sensor Networks" Proceedings of the 3rd International Conference on Algorithmic Aspects of Wireless Sensor Networks, (AAWSN’ 28), Springer-Verlag Berlin, Heidelberg, pp: 150- 161, 2008.
[18] Stetsko, A., L. Folkman and V. Matyáš, "Neighbor-Based Intrusion Detection For Wireless Sensor Networks". Proceedings of the 6th International Conference on Wireless and Mobile Communications (ICWMC), IEEE Xplore Press, Valencia, pp: 420-425, Sept. 20-25, 2010.
[19] Lemos, M.V.D.S., L.B. Leal and R.H. Filho, "A New Collaborative Approach for Intrusion Detection System on Wireless Sensor Networks", Novel Algorithms Techniques Telecommunication Network, pp. 239-244, 2010.
[20] Shio Kumar Singh, M P Singh, and D K Singh“A Survey on Network Security and Attack Defense Mechanism For Wireless Sensor Networks” International Journal of Computer Trends and Technology (IJCTT) pp. 1-9, May to June 2011.

Sonam Jai, Deepak Singh Tomar and Rachana Kamble, "Survey of Attacks and Security Schemes in Wireless Sensor Network," International Journal of Computer Sciences and Engineering, Vol.3, Issue.5, pp.122-128, 2015.

Knowledge bases are an important resource for easily accessible, systematic relational knowledge. They provide applications with the benefit of question answering and other tasks but often suffer from their incompleteness, lack of knowledge and ability to purpose over new entities and relations. Much work has done to build and extend the relationship in knowledge base. This paper mainly focuses on completing a knowledge base by reasoning over entities relationship with Neural Tensor Network (NTN). New relationships can be predicted with Neural Tensor Network that can be added to the database. We make evident that the model is improved by making entities represented with vectors learned from unsupervised large corpora.

Neural Tensor Network, Knowledge Base, Entity Vector, Bilinear Tensors, Unsupervised Text

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Sagarika Sahoo and Avani Jadeja, "Obtaining New Facts from Knowledge Bases using Neural Tensor Networks," International Journal of Computer Sciences and Engineering, Vol.3, Issue.5, pp.129-132, 2015.

This paper proposes a survey of Web Page Prediction Methods. Prefetching of Web pages has been mostly used to reduce the access latency problem of the WWW users. However, if Prefetching of Web page is not accurate and Prefetched web pages are not visited by the users in their accesses, the limited bandwidth of network and services of Data Center and Cloud will not be used efficiently and may face the problem of access delay. Therefore, it is critical that we need an effective prediction method during prefetching of Services. The Markov models have been widely used to predict and analyze users navigational behavior. All the activities of web users have been saved in web log files. The stored users session is used to extract popular web navigation paths traverse and predict current users next web page Action in domain.

Clustering,Classification,Recommender,N-Grams, User Sessions, Web Usage Mining

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Yogesh Bhalerao and P. P. Rokade, "A Survey on User Navigation Pattern Prediction from Web Log Data," International Journal of Computer Sciences and Engineering, Vol.3, Issue.5, pp.133-137, 2015.

The Storage of digital information is increasing day by day and at the same time new multimedia broadcasting services has also been developed. This development motivated research on copyright-protection and authentication schemes to be applied to these services. One Possible solution is to apply labelling which is a low level system that works upon the bit-stream. Another one is a high level, graphically inlaid, non-deletable system i.e. watermarking. This paper focuses on authentication and watermarking and presents methods that are proposed for the particular cases of still images. The effects of these methods to JPEG and other image formats are to be analyzed, as well as its sensitivity to image manipulations, are expounded and evaluated.

Image Integrity, Image Cropping, Watermarking

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[19 ]Vinita Gupta, “A Review on Image Watermarking and Its Techniques” International Journal of Advanced Research in Computer Science and Software Engineering ,Volume 4, Issue 1, January 2014.
[20] Prabhishek Singh “A Survey of Digital Watermarking Techniques, Applications and Attacks” ,International Journal of Engineering and Innovative Technology (IJEIT) Volume 2, Issue 9, March 2013
[21]Xiao Jun Kang Li Jun Dong, “Study of the Robustness of Watermarking Based on Image Segmentation and DFT”, IEEE International Conference on Information Engineering and Computer Science, ICIECS, 2009, pp1-4.

Amit Bhagat and Rajshree Dubey, "An Extensive Survey of Image Integrity Approaches and Its Perspectives," International Journal of Computer Sciences and Engineering, Vol.3, Issue.5, pp.138-142, 2015.

Magnetic resonance imaging (MRI) is a medical imaging technique used to investigate the anatomy and physiology of the body is widely used in hospitals for medical diagnosis and staging of diseases. The research efforts have been devoted to processing and analyzing medical images to extract meaningful information to detect abnormalities. MRI segmentation aims at extraction of object boundary features which plays a fundamental role in understanding image content. A challenging problem is to segment regions are boundary insufficiencies, blur edges, lack of texture contrast between regions of interest and background. To address this problem two categories of approaches are used on medical image segmentation: (i) enhancement technique i.e. histogram equalizer technique is implemented on selected image to enhance the contrast of image. Brightness preserving Bi Histogram Equalization (BBHE) technique is used for enhancing the image because previous technique perverse contrast but only BBHE consider Brightness of an image. (ii) Apply fuzzy-C mean (FCM) clustering segmentation algorithm on enhanced image. Fuzzy C mean algorithm helps to compute clusters from the image and calculate the centers of clusters. Examples of medical data segmentation and general conclusions from the methods are described and we give future directions for solving challenging and open problems in medical image segmentation.

uzzy-C Means Clustering; Magnetic Resonance Imaging; Histogram Equalization Technique; Segmentation

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Karanbir singh and Ashima Kalra, "Improving MRI Segmentation by Fuzzy C Mean Clustering Algorithm Using BBHE Techniques," International Journal of Computer Sciences and Engineering, Vol.3, Issue.5, pp.143-147, 2015.

In this paper, we propose a FinFET based 7T and 8T Static Random Access Memory (SRAM) cells. FinFETs also promise to improve challenging performance versus power tradeoffs. Designers can run the transistors more rapidly and use the similar amount of power, compared to the planar CMOS, or run them at the similar performance using less power. The aim of this paper is to reduce the leakage current and leakage power of FinFET based SRAM cells using Self-controllable Voltage Level (SVL) circuit Techniques in 45nm Technology. SVL circuit allows supply voltage for a maximum DC voltage to be applied on active load or can reduce the supplied DC voltage to a load in standby mode. This SVL circuit can reduce standby leakage power of SRAM cell with minimum problem in terms of chip area and speed. High leakage currents in submicron regimes are primary contributors to total power dissipation of bulk CMOS circuits as the threshold voltage, channel length and gate oxide thickness are scaled down. The leakage current in the SRAM cell increases due to reduction in channel length of the MOSFET. Two methods are used; one method in which the supply voltage is reduced and other method in which the ground potential is increased. The Proposed FinFET based 7T and 8T SRAM cells have been designed using Cadence Virtuoso Tool, all the simulation results has been generated by Cadence SPECTRE simulator at 45nm Technology.

FinFET; Leakage Current; Leakage Power; Static random access memory (SRAM); Self-controllable Voltage Level (SVL); Upper SVL; Lower SVL

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Anugrah Narayan Singh and Ravi Koneti, "Leakage Reduction Technique on FinFET Based 7T and 8T SRAM Cells," International Journal of Computer Sciences and Engineering, Vol.3, Issue.5, pp.148-157, 2015.

The Process of reverse engineering allows attackers to understand the behavior of software and extract the proprietary algorithms and key data structures (e.g. cryptographic keys) from it. Code obfuscation is the technique is employed to protect the software from the risk of reverse engineering i.e. to protect software against analysis and unwanted modification. Program obfuscation makes code harder to analyze. In this paper we survey the literature on code obfuscation. we have analyze the different obfuscation techniques in relation to protection of intellectual property. At the last, we are purposing suggestion to provide protection from both the static and dynamic attacks.

Code Obfuscation, Software Protection, Reverse Engineering

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Krishan Kumar and Prabhpreet Kaur, "A Thorough Investigation of Code Obfuscation Techniques for Software Protection," International Journal of Computer Sciences and Engineering, Vol.3, Issue.5, pp.158-164, 2015.

This paper addresses the messaging needs of decomposed multi-tier applications to support high performance. In the transformation exercise, the applications are getting decomposed into multiple logical tiers and get deployed in clusters to take advantage of computing power available in multi-core commodity hardware. In such deployments the communication between the tiers or layers within the deployment is critical for such transformations, as there are millions of small packets moving across these tiers and gets processed at different stages. It is important that a suitable messaging middleware is put to use for the success of such transformation exercise to address the transportation of messages across tiers. This study provides an insight to the developer community on, (a) various communication protocols current and emerging ones that can be used given a problem situation and the deployment nuances of these protocols (b) messaging models and middleware available for such deployment (c) key factors that are to be kept in mind for selection of such commercially available messaging middleware and (d) finally, approach towards deployment of such middleware and key parameters that are available for fine tuning to achieve the desired scalability and latency.

Messagin middleware; Messaging for high performance; Messaging models; Ultra-low latency messaging; ; Thin stream

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Muralidaran Natarajan, Nandlal L. Sarda and Sharad C. Srivastava, "Implementation insight for High Performance Messaging Solution," International Journal of Computer Sciences and Engineering, Vol.3, Issue.5, pp.165-174, 2015.