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e-Governance refers to the delivery of government information and services using Information and Communications Technology (ICT) to citizens or businesses or government. Census is a government activity of citizen socio-economic data collection process for the preparation of the citizen database. Census data is used for various activities planning like increasing literacy rate, removal of unemployment and healthcare issues etc. The aim of the paper is to present web based spatial dimensional modeling of the job seekers for assisting in taking high level decisions for government institutions like National Institution for Transforming India (NITI) Aayog and State Governments etc. The proposed system employs Online Analytical Processing (OLAP) and Data mining techniques for finding the job seeker population correlations among multiple fields like gender, the age structure of the population, geographical area and educational qualification in census database. OLAP techniques like roll-up, drill-down, slice and dice are implemented for dimensional modeling of the proposed system. Microsoft Visual Studio is used as an integrated environment for prototype development of a web based application with c# as the programming language. Microsoft SQL server is used as a backend relational database management system. It is concluded that the census database can be effective and efficient in achieving sustainable development goals of government as it can provide accurate and timely information within a reasonable amount of time.

Unemployment, Dimensional modeling, Census, e-Governance

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Ajay Dutta, M. Syamala Devi, Manish Arora, "e-Census Based Decision Making for Employment Planning," International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.596-600, 2018.

Cloud computing is innovative technology that provide various applications and services to users. Cloud services are offered to user on the basis of utility, users have to pay only that amount for which they have used the services. Many challenges are there for cloud computing include virtual machine migration strategy fault tolerance, availability, scalability, load balancing and security. An optimal solution for load balancing is to manage proper resource utilization, minimum consumption of resources, minimum fail over, proper scaling etc[1]. Static load balancing algorithm does not adaptive quality of load balancing at run time while dynamic load balancing work dynamically at run time for better result. All nodes with its details properties are required in advance to handle traffic load balancing. Software requires for operating, handling, and integrating the services of various applications over the cloud. Comparison of static and dynamic load balancing done on various parameters analyzed in this paper that includes overhead incurred, support fault tolerance, proper resource management, scalable property etc.

Cloud computing, Fault tolerance, Virtualization, Static load balancing, Dynamic load balancing

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[12] Bhupesh Kumar Dewangan1* , Amit Agarwal2 , Venkatadri M3 , Ashutosh Pasricha “Resource Scheduling in Cloud: A Comparative Study” International Journal of Computer Sciences and Engineering Open Access Review Paper Vol.-6, Issue-8, Aug 2018
[13] Afsana1, Suman Deswal2* “An Algorithm for Load Balancing in Cloud Computing “, International Journal of Computer Sciences and Engineering Vol.-6, Issue-8, Aug 2018

Sunita Gond, Shailendra Singh, "Comparison of Various Techniques for Load Balancing in Cloud Computing," International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.601-606, 2018.

To minimize the requirement of external power source and maintenance for electric devices such as wireless sensor networks, the energy harvesting technique based on vibrations has been a dynamic field of studying interest over past years. This presents a challenge for the researchers to optimize the energy output of piezoelectric energy harvesters, due to the relatively high elastic moduli of piezoelectric materials used to date. This paper reviews the current state of research on piezoelectric energy harvesting devices for low frequency (0–100Hz) applications. Various key aspects that contribute to the overall performance of a piezoelectric energy harvester are discussed.

Piezoelectric, power sources, optimize energy harvester, Wireless sensor networks

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N. K. Dixit, K. J. Rangra, Y. C Sharma, "Review Study on Piezoelectric Energy Harvesters and Their Applications," International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.607-616, 2018.

Optical fiber communication along with the advanced optical networking technologies and advanced modulation formats is an evolving field of research. The enormous bandwidth and long distance reach of optical networks makes them a suitable candidate to be used in backhaul networks. This paper presents a comprehensive review of various advanced optical networks: Wavelength Division Multiplexing (WDM) based networks, Radio over Fiber (RoF) networks, Passive Optical Networks (PONs) and recently proposed Elastic Optical Networks (EONs) along with recent work reported in literature. A briefs description of optical amplifiers and several architectural advancements in these optical networks is also discussed in a holistic manner .

WDM, RoF, PON, EONs, Orthogonal Frequency Division Multiplexing (OFDM), Bandwidth variable-wavelength cross-connects (BV-WXC).

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Vinita, "A Comprehensive Review of Recent Advancement in Optical Communication Networks," International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.617-626, 2018.

During image acquisition, inadequate brightness may cause poor contrast and noise in many images like medical, satellite images. So it is required to improve the contrast and eliminate the noise to increase image quality. So image enhancement is required in medical image to improvement in quality. In this paper, we describe the overview of medical image enhancement techniques, classification of image enhancement techniques, researches done in the field of medical image enhancement, shortcoming comes after reviews, Parameter used to check the quality of enhanced images, and general needs required in this field of active research.

Medical Image, Spatial Domain, Frequency Domain, Fuzzy Domain

[1] K. Hasikin and N. A. M. Isa, "Enhancement of The Low Contrast Image Using Fuzzy Set Theory", 14th International Conference on Modelling and Simulation, IEEE, 2012.
[2] S. S. Bedil, R. Khandelwal, "Various Image Enhancement Techniques - A Critical Review" International Journal of Advanced Research in Computer and Communication Engineering Vol.2, Issue.3, March 2013.
[3] R. Maini and H. Aggarwal, "A Comprehensive Review of Image Enhancement Techniques", Journal of Computing, Vol.2, Issue.3, 2010.
[4] M. Hanmandlu and D. Jha, "An Optimal Fuzzy System for Color Image Enhancement”, Image Processing, IEEE Transactions on, Vol.15, pp. 2956-2966, 2006.
[5] F. G. Mohammed, H. M. Rada, S. G. Mohammed, "Contrast and Brightness Enhancement for Low Medical X-Ray Images", International Journal of Scientific & Engineering Research, Vol.4, Issue.5, 2013.
[6] P. Rasti, M. Daneshmand, F. Alisinanoglu, C. Ozcinar, and G. Anbarjafari, "Medical Image Illumination Enhancement and Sharpening by Using Stationary Wavelet Transform", 24th IEEE Conference on Signal Processing and Communication Application Conference (SIU), 2016.
[7] I. Isa, S. N. Sulaiman, and M. F. Abdullah, "New Image Enhancement Technique for WMH Segmentation of MRI FLAIR Image", IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE), 2016.
[8] G. D. Licciardo, C. Cappetta, L. D. Benedetto, “New Application Specific Image Processor for HDR Medical Image”, IEEE International Workshop on Advances in Sensors and Interfaces (IWASI), 2017.
[9] P. Pandey, S. Jain, S. K. Khatri “Medical Images enhancement using Kalman Filter”, IEEE international Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), 2017.
[10] E. S. Yelmanova, Y. M. Romanyshyn, “Histogram-Based Methods using the Known No-Reference Contrast Metrics”, IEEE 37th International Conference on Electronics and Nanotechnology, 2017.
[11] Y. Shen and W. Zhu, "Medical Image Processing using A Machine Vision-based Approach", International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.6, No. 3, 2013.
[12] Ritika, S. Kaur, "Contrast Enhancement Techniques for Images – A Visual Analysis", International Journal of Computer Applications, Vol.64 – pp. 17, 2013.
[13] T. K. Agarwal, M. Tiwari, S. S. Lamba, "Modified Histogram Based Contrast Enhancement using Homomorphic Filtering for Medical Images", IEEE Conference 2014.
[14] N. Senthilkumaran and J. Thimmiaraja, "Histogram Equalization for Image Enhancement Using MRI Brain Images", IEEE Conference on World Congress on Computing and Communication Technologies, 2014.
[15] T. Gong, T. Fan, L. Pei and Z. Cai, "Improved Immune Algorithm for Medical Image Enhancement", International Workshop on Artificial Immune Systems (AIS), 2015.
[16] P. Joris, W. Develter, W. V. D. Voorde, P. Suetens, F. Maes, D. Vandermeulen, P. Claes, “Preprocessing of Heteroscedastic Medical Images”, IEEE Access, Vol.6, 2018.
[17] N. S. Lele, "Image Classification Using Convolutional Neural Network", International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.3, pp.22-26, 2018.
[18] G. Pannu, S. Verma, U. Arora and A. K. Singh, "Comparison of various Anonymization Technique", International Journal of Scientific Research in Network Security and Communication, Vol.5, Issue.6, pp.16-20, 2017.

Vijay Panse, Rajendra Gupta, "A Survey of Emerging Trends on Medical Image Enhancement Techniques," International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.627-634, 2018.

In the current world , various sources like sensors, social media, web logs, network monitoring devices, traffic monitoring devices are generating lots of data. This huge data is arriving continuously, with high speed and changing its nature with time. Extracting useful information from the data stream demands enhancement in existing technologies of Data Mining. Clustering is an important part of data mining in which similar data points are merge into one group. Use of genetic algorithm in clustering data stream is an emerging technology. In this paper, we are discussing clustering techniques for data stream using Genetic Algorithm.

Data Stream, Genetic Algorithms, Clustering

[1] Gaber, Mohamed Medhat, Arkady Zaslavsky, and Shonali Krishnaswamy. "Mining data streams: a review." ACM Sigmod Record 34.2 (2005): 18-26.
[2] Mahdiraji, Alireza Rezaei. "Clustering data stream: A survey of algorithms." International Journal of Knowledge-based and Intelligent Engineering Systems 13.2 (2009): 39-44.
[3] Gao, Ming-ming, Chang Tai-hua, and Xiang-xiang Gao. "Application of Gaussian mixture model genetic algorithm in data stream clustering analysis."Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on. Vol. 3. IEEE, 2010.
[4] Zhou, Aoying, et al. "Distributed data stream clustering: A fast EM-based approach." Data Engineering, 2007. ICDE 2007. IEEE 23rd International Conference on. IEEE, 2007.
[5] Heng, Liang. "Fast Clustering Optimization Method of Large-Scale Online Data Flow Based on Evolution Incentive."2014 Fifth International Conference on Intelligent Systems Design and Engineering Applications (ISDEA). IEEE, 2014.
[6] Alsayat, Ahmed, and Hoda El-Sayed. "Social media analysis using optimized K-Means clustering." Software Engineering Research, Management and Applications (SERA), 2016 IEEE 14th International Conference on. IEEE, 2016.

Neha Sharma, Pawan Makhija, "A Review on Optimizing Clustering Technique for Data Stream using Genetic Algorithm," International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.635-637, 2018.

In this research work, we are trying to focus the need of protecting the big amount of data using BOT NET. Here data mining means extracting some important data from the information house. The data mining process results in instances and learning whereas the coal or valuable stone mining result in coal or jewel.

BOT NET, Ad Fraud, Methbot, botmaster

[1] K. Lee, J. Caverlee, S. Webb, "Uncovering social spammers: social honeypots+ machine learning", Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval, pp. 435-442, 2010.
[2] B. Perozzi, R. Al-Rfou, S. Skiena, "Deepwalk: Online learning of social representations", Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 701-710, 2014.
[3] E. Ferrara, O. Varol, C. Davis, F. Menczer, A. Flammini, The rise of social bots, 2014.
[4] M Paul , G Sanyal , Debabrata Samanta, Gia Nhu Nguyen ; Dac-Nhuong Le, Admission Control Algorithm Based-on Effective Bandwidth in V2I Communication, IET Communications, 10 pp.DOI: 10.1049/iet-com.2017.0825 , Online ISSN 1751-8636.
[5] M Paul , Debabrata Samanta, and G Sanyal,” Dynamic job Scheduling in Cloud Computing based on horizontal load balancing”, International Journal of Computer Technology and Applications (IJCTA) , Vol. 2 (5), pp. 1552-1556, 2011, ISSN: 2229-6093.
[6] Manoj Mukherjee, Titan Paul, Debabrata Samanta,” Detection of damaged paddy leaf detection using image processing”, Journal of Global Research in Computer Science (JGRCS), pp.7-10, Volume 3, No. 10, October 2012, ISSN: 2229-371X.
[7] Debabrata Samanta, M Paul and G Sanyal , ”Segmentation Technique of SAR Imagery using Entropy”, International Journal of Computer Technology and Applications (IJCTA) , Vol. 2 (5), pp.1548-1551, 2011,ISSN: 2229-6093.
[8] Debabrata Samanta and G Sanyal, Development of Edge Detection Technique for Images using Adaptive Thresholding, Proc. of Fifth International Conference on Information Processing (ICIP-2011), CCIS 157, pp. 671-676, 5-7 Aug.2011. @ Springer-Verlag Berlin Heidelberg.
[9] Syed K A Khadri,, Debabrata Samanta, and M Paul, "Approach of Message Communication Using Fibonacci Series: In Cryptology", Lecture Notes on Information Theory, Vol. 2, No. 2, pp. 168-171, June 2014. doi: 10.12720/lnit.2.2.168-171.
[10] Debabrata Samanta, Prajna Paramita Chaudhury, Arya Ghosh ,” Scab Diseases Detection of Potato using Image Processing” , International Journal of Computer Trends and Technology (IJCTT) , pp. 109-113 , Jan – 2012 Volume no 3 Issue1. ISSN: 2231-2803.
[11] Anna-senpai. [FREE] world’s largest net:Mirai botnet, client,echo loader, CNC source code release. https://hackforums.net/showthread.php?tid=5420472.
[12] M. Antonakakis, R. Perdisci, D. Dagon, W. Lee, and N. Feamster.Building a dynamic reputation system for DNS. In 19th USENIXSecurity Symposium, 2010.
[13] M. Antonakakis, R. Perdisci, Y. Nadji, N. Vasiloglou, S. AbuNimeh, W. Lee, and D. Dagon. From throw-away traffic to bots:Detecting the rise of DGA-based malware. In 21st USENIX SecuritySymposium, 2012.
[14] Arbor Networks. Worldwide infrastructure security report.https://www.arbornetworks.com/images/documents/WISR2016_EN_Web.pdf.
[15] H. Asghari, M. Ciere, and M. J. G. Van Eeten. Post-mortem ofa zombie: Conficker cleanup after six years. In 24th USENIXSecurity Symposium, 2015.

Nirmala H.G., Dhruv Kumar Thakur, Ananya Kundu, Abhishek Paul, Gurunath R, "An Approach for BOT NET in Data Mining," International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.638-641, 2018.

This paper provides a comprehensive overview of advance wireless communication technology that is known as 5G. In 5G there are more advancement is happening towards the development of World Wide Wireless Web (WWWW), Dynamic Ad-hoc Wireless Networks (DAWN) and Real Time Wireless Communication. The most important technologies for 5G technologies are 802.11 and 802.16, Wireless Personal Area Network. 5G technology will include several standards under a common umbrella, similar to 4G. 5G technology is to make use of mobile phones within very high bandwidth. This paper is also trying to show the future of wireless system to the users of current 4G users.

Wireless generations (1G, 2G, 3G, 4G), 5G network, architecture, strategies for 5G network

Maryam Fizza, Munam Ali Shah, “5G Technology: An Overview of Applications, Prospects, Challenges and Beyond,” Proceedings of the IOARP International Conference on Communication and Networks (ICCN 2015.)
[2]. Asvin Gohil; Hardik Modi; Shobhit K Patel,” 5G technology of mobile communication: A survey” published in 2013 International Conference on Intelligent Systems and Signal Processing (ISSP) , 1-2 March 2013’
[3]. A. Bria, F. Gessler, O. Queseth, R. Stridth, M. Unbehaun, J. Wu, J. Zendler, "4-the Generation Wireless Infrastructures: Scenarios and Research Challenges", IEEE Personal Communications, Vol. 8, No.6, December 2001.
[4]. Toni Janevski, “A System for PLMN-W LAN Internetworking”, Journal of Communications and Networks (JCN), pp. 192-206, Vol 7, No. 2, June 2005.
[5]. Janise McNair, Fang Zhu, “Vertical Handoffs in Fourth-
Generation Multinetwork Environments”, IEEE Wireless
Communications, June 2004.
[6]. Toni Janevski, “Traffic Analysis and Design of Wireless IP Networks”, Artech House Inc., Boston, USA, May 2003.
[7]. Suk Yu Hui, Kai Hau Yeu ng, “Ch allenges in the Migration to 4G Mobile Systems”, IEEE Communications Magazine, December 2003
[8]. Willie W. Lu, “An Open Baseband Processing Architecture for Future Mobile Terminals Design”, IEEE Wireless Communications, April 2008.
[9]. Jivesh Govil, Jivika Govil, “5G : Functionalities development and an Analysis of Mobile Wireless Grid”, First International Conference on Emerging Trends in Engineering and Technology
[10]. Evaluating the Performance of TCP over Routing Protocols in MANETs Using NS2 Anurag Singh, Rajnesh Singh, Sunil Gupta, Research Paper | Journal (IJSRNSC), Vol.6 , Issue.4 , pp.1-4, Aug-2018
[11]. Detection of Node Capture Attack in Wireless Sensor Networks, K. Ravikumar, V. Manikandan, Research Paper | Isroset-Journal (IJSRCSE), Vol.6 , Issue.4 , pp.56-61, Aug-2018.

Vijay Kumar Srivastava, Suman Rav, Nitin Goel, "An overview of Applications, Concepts, Challenges in 5G Technology," International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.642-645, 2018.

Innovation and imagination in string coordinating can play a massive part to get time effective execution in different areas of software engineering. String coordinating calculations are fundamental for arrange gadgets that channel parcels and streams in light of their payload. Applications like interruption discovery/aversion, web sifting, hostile to infection, and against spam all raise the interest for productive calculations managing string coordinating There is expanding sorts and quantities of malevolent assaults that endeavours to bargain the trustworthiness, privacy, accessibility, and other security parts of PCs and systems.

Signature based ids, Pattern matching algorithm, String matching algorithm, finite state automation

[1] A Fast String Searching Algorithm, with R.S. Boyer. Communications of the Association for Computing Machinery, 20(10), 1977, pp. 762-772
[2] Akhtar Rasool Amrita Tiwari et al, String Matching Methodologies: A Comparative Analysis / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 3 (2) , 2012,3394 - 3397 Proceedings of the 6th Colloquium on
Automata, Languages and Programming, pages 118–132, London, UK, 1979 Springer.
[3] An Examination of Pattern Matching Algorithms for Intrusion Detection Systems submitted by James Kelly Dr. Frank Dehne (Director, School of Computer Science) Dr. Paul Van Oorschot (Thesis Supervisor) Carleton University, August 2006. Pages 21-39.
[4] https://brilliant.org/wiki/rabin-karp algorithm/#implementation-of-rabin- karp.
[5] https://www.geeksforgeeks.org/wildcard-pattern-matching/
[6] http://en.wikipedia.org/wiki/Boyer%E2%80%93Moore_string_search_algorithm.
[7] In 2007, Matyas Sustik and I thought of an apparently new variation that gives very good performance on small alphabets and has a small table. The algorithm is described in UTCS Tech Report TR-07-62, ``String Searching over Small Alphabets.``
[8] International Journal of Innovative Research in Computer Science and Engineering (IJIRCSE) www.ioirp.com ISSN: 2394-6364, Volume – 3, Issue – 1. March 2018 a survey on intrusion detection system using anamoly and signature based detectors submitted by Dr.K.Prabha, S.Mohanapriya, and K.Nirmaladevi.
[9] Network intrusion detection system using string matching algorithms submitted by Siddharth Saha and Telugu Praveen Kumar Department of Computer Science & Engineering National Institute of Technology Rourkela 2010. Pages 17-25
[10] Rolling Hash. Retrieved May 28, 2016, fromhttps://en.wikipedia.org/wiki/Rolling_hash.B. Commentz-Walter. A string matching algorithm fast on the average. Technical Report 79.09.007, IBM Heidelberg Scientific Center, 1979.
[11] S. Wu and U. Manber, A fast algorithm for multi-pattern searching, Technical Report TR-94-17, Department of Computer Science, University of Arizona, 1994.
[12] String searching algorithm from Wikipedia :https://en.wikipedia.org/wiki/Stringsearching_algorithm#Algorithms_using_a_finite_set_of_patterns
[13] YU Jianming, XUE Yibo, LI Jun, Memory Efficient String Matching Algorithm for
Network Intrusion Management System, Tsinghua Science and Technology.

S. Mohanapriya, K. Prabha, "A Comparative Study on Signature Based Ids Using Pattern Matching Algorithm," International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.646-649, 2018.

Ethernet Local Area Network (LAN) has become almost omnipresent today. Ethernet has scored over its competitor LAN technologies because of its simplicity, ruggedness and low cost as well as, the advantages it enjoyed owing to its early entry into the LAN market. Despite many research work and development efforts in the area of data communication’s security, the importance of internal local area network LAN security is still underestimated. Ethernet LAN has always been known to be an insecure technology. There is no way in the Ethernet LAN protocol to check the authentication or message integrity. Intruder can hack the IP packet header and create packets with false IP addresses or MAC addresses. In this paper we discuss about the design of a secured packet transport scheme in the IP over Ethernet LAN (IPEL) based on graph anonymization approach. To ensure secure communication, the identity of IP packet source and destination needs to be hidden from intruder. In our proposed scheme each host in the IPEL encrypts the header part of IP packet using graph anonymization algorithm and forwards to the next node. On receiving the packet host performs decryption using graph de-anonymization algorithm to read the packet header. This approach of securing IP packet header offers good scalability, possibly low cost and also promises a reasonable level of security in the IPEL.

Encryption, Decryption, IPEL, IPSec, SSL, Graph Anonymization

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[2] J.F. Kurose ad K.W. Ross, ”Computer Networking: A Top-Down Approach Featuring the Internet”, 3rd Ed., Pearson Education Asea, LPE,2005.
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R. Ganguli, S. Roy, "Designing a Graph Anonymization Framework for Secure Packet Transmission in the IP Over Ethernet LAN," International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.650-654, 2018.