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Data hiding is a process of embedding information into the host medium and is an important process in security. Video data hiding is a very important research topic due to the design complexities involved. In general, due to the wide presence and the tolerance of human perceptual systems involved visual and aural media are preferred. The methods vary depending on the nature of such media and the general structure of data hiding process does not depend on the host media type. However, most of the video data hiding methods utilize uncompressed video data. Recent video data hiding techniques are focused on the characteristics generated by video compressing standards. The main objective of this research work is to propose a new video data hiding method that makes use of correction capability of repeat accumulate codes and superiority of forbidden zone data hiding (FZDH). FZDH is used for no alteration is allowed while data hiding process. The framework is tested by all kinds of videos such as .mp4, .3gp, .avi etc., and gets successful output for all video data hiding process. The proposed scheme is hiding the video data to provide security by encryption and decryption process. The simulation results show that the process of hiding the video data enforce security in higher level.

FZDH, data hiding, encrypt process, decrypt process, superiority

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Dr.K.Vanaja, D. Thilagavathi, C. Rukmani, L.Gandhi, "A Novel Block-Based Selective Embedding Type Video Data Hiding using Encryption Algorithms," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.647-653, 2018.

Big Data opens big opportunities in every corner of the world in almost every companies and industries, viz. banking, stock, agriculture, telecommunications, healthcare and education. With this big opportunity comes with big challenges and issues. Opportunities are increasing as the volume of Big Data is also increasing and predicted to grow enormously because of the technological revolution, which includes but not limited to various mobile devices. The nature of big data using use cases, real-time analysis, data integration, eventually turns big data into a big value. Pressing issues identified in this paper are privacy, processing and analysis and storage. In this paper, we explored various usages of Big Data, methodologies in Big Data and a Learning Analytics Model based on Big Data, as educational entities have sensitive data which are scattered across departments in various formats and need to be processed to gain insight and to make future predictions. Prediction models may be prepared by analyzing the trends from the available historical data. These data models are helpful for data-driven decisions by the authorities.

Big Data, Learning Analytics, Hadoop, MapReduce, Big Data Analytics

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Sadiq Hussain, Mehmet Akif ÇİFÇİ, Josan D. Tamayo, Aleeza Safdar, "Big Data and Learning Analytics Model," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.654-663, 2018.

steganography is becoming popular, especially for adding undetectable identifying marks, such as author or copyright information. Existing stegography systems for video stegnography used simple techniques to hide the images into videos which can be easily decoded by using some decoding algorithms. Hence a novel video stegnography system must be made that can hide the image in the video in the more secure way so that attacker cannot decode the hidden message from the video. In the proposed work, Least Significant Bit (LSB) will be used to hide the image message into a video. Proposed system hide the image into each of the LSB of each color of each pixel of the input video frame. In the proposed system, from the input video a fame with maximum motion and intensity is extracted which is treated as the target frame for hiding message. In this target frame image will be hide using Least Significant approach. The resultant video becomes the stegno video. Reverse process is performed on the stegno video to extract the image file from that video file. The proposed system is tested on various input videos and various input images are used as message to hide in these videos. It is evaluated that the results of the proposed system are very satisfactory. Performance of the proposed system is also compared with the performance of the existing system and it is evaluated that the proposed system generates the better results in terms of PSNR and MSE than that of existing system.

Steganography, LSB, Image Hiding, Message Security, Video Stegnography.

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Shaminder Kaur, Paramjeet Singh, Shaveta Rani, "Hiding data in video using maximum motion detection and intensity technique," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.664-667, 2018.

Image processing is an important aspect of medical science to visualize the different anatomical structures of human body. Sometimes it becomes very difficult or impossible to detect or visualize such hidden abnormal structures by using simple imaging. Brain tumor is one of the major causes for mortality among children and adults. Extensive research is being carried out to develop automatic algorithms for detection of Tumor from Brain images captured using MR imaging. Still there are challenges like time requirements, inaccuracy, need of human intervention and complexity of images in detecting region of interest. In this study, an algorithm is proposed for detection of Tumor from MR Brain images, which is based upon thresholding, region growing and genetic algorithm. Performance evaluation of proposed algorithm and studied state-of-the-art algorithms suggests that proposed algorithm gives best results for Tumor detection from MR brain images.

Brain tumor detection, medical image, segmentation, magnetic resonance imaging (MRI).

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A. Kaur and N. Sohi, "A Novel Method for Automatic Detection of Brain Tumor from MR Image," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.668-673, 2018.

This paper provides the use of three terminologies and gives the best results with the details of methods implemented while applying applications of Genetic Algorithm for the Big Data which is mined from the plain text using Text Mining concept. The focus of this paper is to build up an algorithm that can extract or mine the details from plain text resumes & generates the method to provide the optimum solution. The method which is presented in this paper will help the organizations analyze that weather employee will work with them so long. Our main observation is that the system gives the results on the basis of details mined from the text resumes and based on these results, we can find the result that will helpful for the organizations.

Text Mining, Genetic Algorithm, Big Data

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Deepankar Bharadwaj, Arvind Shukla, "Text Mining Technique on Big Data Using Genetic Algorithm," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.674-681, 2018.

Generally the RGB images are characterised by high degree of inter-correlation. Based on this information the compression algorithms reduce the amount of bits required for coding, by transferring the RGB color space to another colorspace. Images consist of luminance and chrominance components but human eye is sensitive to luminance components. So, more bits are allocated to luminance components. This paper proposes Quadtree decomposition-based image coding. Most of the researchers have proposed several colorization-based image coding techniques, in which, the luma component is encoded by a standard encoder, while the two chroma components encoded by colorization. The proposed method colorizes the luminance image fast and effectively. The simulation results show that the proposed technique gives better results than the existing coding methods derived from classical methods.

Luminance Image, Image coding, Quadtree decomposition

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[9] Yoshitaka Inoue, Takamichi Miyata and Yoshinori Sakai, “Colorization based picture coding through the usage of by local correlation between luminance and chrominance,” IEICE Transactions on Information and Systems, Vol. 95, no. 1, pp. 247–255, Jan 2012.

N. Obulesu, Chandra Mohan Reddy Sivappagari, "An Optimized Color Image Coding using Quadtree Method," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.682-686, 2018.

The internet users are regularly increasing day by day. After the launching of the 4G or IMT-Advanced services, communication over internet increased drastically. People across all the communities like social, economical, business, financial, etc are doing communication or exchanging their valued documents over internet. Hence, the demand of securing these documents or hiding some secret message into another cover is also increased. As, Steganography is the art and science of hiding a secret message in another message, image, or video as cover, in such a way, which hides the existence of the communication. Its goal is to hide messages inside other harmless messages, or image and does not allow any enemy to even detect that there is a second message present. In this paper, we have presented an analysis on LSB based detection methods and current hiding strategies with color images. Many noticeable hiding strategies proposed by researchers are presented here, but more research is required with the objectives of achieving high embedding payload and less detectable against the modern detector SPAM.

Secret Message, Data Hiding, Steganography, Detection Method, Color Images, SPAM

[1] G. Shailender and A.G. Bhushan, “Information Hiding least significant bit steganography and cryptography”, International Journal of Education and Computer Science, vol. 6, 2012, pp. 27-34
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[4] Thien Huynh-The , Cam-Hao Hua , N. Anh Tu , Taeho Hur , J. Bang , D. Kim , M. Bilal Amin, B. Ho Kang , H. Seung , S. Lee, “Selective bit emb e dding scheme for robust blind color image watermarking”, Elsevier, Information Sciences 426 (2018),pp. 1–18
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[10] Daniel Lerch-Hostalot, David Megıas,” LSB matching steganalysis based on patterns of pixel differences and random embedding”, Elsevier, computers & security, vol. 32 (2013), pp. 192-206.
[11] HayatAl-Dmour,AhmedAl-Ani, “A steganography embedding method based on edge identification and XOR coding”, Elsevier, Expert SystemsWithApplications, vol. 46(2016), pp. 293–306
[12] B. Feng, J. Weng, Wei Lu, Bei Pei, “Steganalysis of content-adaptive binary image data hiding”, Elsevier, J. Vis. Commun. Image R. vol. 46 (2017), pp. 119–127
[13] B. B. Haghighi, A. H. Taherinia, A. Harati, “TRLH: Fragile and blind dual watermarking for image tamper detection and self-recovery based on lifting wavelet transform and halftoning technique”, Elsevier, Journal of Visual Communication and Image Representation, vol 50 (2018), pp. 49–64
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[15] N. N. El-Emama, M. Al-Diabat, “A novel algorithm for colour image steganography using a new intelligent technique based on three phases”, Elsevier, Applied Soft Computing, vol. 37 (2015), pp. 830–846
[16] S. Udhayavene, A. T. Dev and K. Chandrasekaran, “New Data Hiding Technique In Encrypted Image: DKL Algorithm (Differing Key Length)”, Elservier, Procedia Computer Science, vol. 54 ( 2015 ), pp. 790 – 798, Eleventh International Multi-Conference on Information Processing-2015 (IMCIP-2015)
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A.K. Chaturvedi, Annu Sharma, Kalpana Sharma, "Analysis on LSB based detection methods and hiding strategies with color images," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.687-692, 2018.

Feedback System is a performance evaluation system which is used by an organization to monitor all the activities happening in the organization. In this paper, we have proposed a feedback system which can be used by many stakeholders of our university such as admin, students, teachers, parents and non-teaching staff. We have provided fully dynamic nature for the system. This feedback system can be used by any non-programmer person such as admin and the feedback form will be available for all the concerned stakeholders of the organization. Some other facilities are also available in this system such as disabling of a specific form after a certain period of time, providing availability of feedback form for other faculties if it was not available initially. Feedback can be seen in the tabular form as well as in graphical form. In our paper, we have shown the result in bar graph so that analysis can be done perfectly and easily. Security is one of the main concerns in our paper as unauthorized users are not allowed to access the feedback system.

Feedback System, Dynamic, Security, Graphical Analysis

[1] Akshay Jedhe, Nitish Prabhu ,Mandar Temkar ,(Prof.)Ankit Sanghavi, “Online Feedback System”, IJRASET, ISSN:2321-9653, Volume – 5, Issue – III, pp. 442-445, 2017.
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[4] Kuang Chen, Harr Chen , Neil Conway, Joseph M. Hellerstein, Tapan S. Parikh, “USHER: Improving Data Quality with Dynamic Forms”, Data Engineering (ICDE), IEEE 26th International Conference , 2010, ISSN: 2375-026X pp.321-332
[5] Yao-Ting Sung , Kuo-En Chang, Shen-Kuan Chiou, Huei-Tse Hou, “The design and application of a web-based self- and peer-assessment system”, Elsevier, doi:10.1016/j.compedu.2004.07.002, 2004.
[6] Andrea Avancini, “Security testing of web applications: A research plan”, ICSE 2012, IEEE International Conference, ISSN: 1558-1225, pp. 1491-1494, 2012.
[7] Ria Nicoletti Morphitou, “The use of smart phones among students in relation to their education and social life”, 2014 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL) IEEE Explore, ISBN: 978-1-4799-4742-3, pp. 315-319, 2015.
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[11] Gaurav, Ritu Sindhu, “Python as a key for data science”, IJCSE, ISSN:2347-2693,Volume 6 Issue 4, pp. 325-328, 2018.
[12] Farrukh Shahzadc, Tarek R. Sheltamia, Elhadi M. Shakshukib, Omar Shaikh, “A Review of Latest Web Tools and Libraries for State-of-the-art Visualization”, Procedia Computer Science 98 ( 2016 ) Elsevier, ISSN: 1877-0509, pp. 100 – 106 , 2016.
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[14] Preeti Garg, Dr. Vineet Sharma , “A Survey on Mobile Cloud Computing”, International Journal of Computer Applications, pp. 1-5. 2012.

Preeti Garg, Gaurav, "Graphical Analysis of Feedback System using Web Technologies," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.693-697, 2018.

Detecting skin cancer at an early age is very crucial for differentiating malignant melanoma from benign one. We presented a novel approach for automatic detection of skin cancer based on modified extended LBP feature. Extended LBP is a generalized form of LBP and we have proposed some modification in its functioning in order to make it more robust. Gabor filter bank is used to segment the lesion area based on the frequency and orientation pattern of the lesion in input image. We have trained and tested our proposed methodology on Support Vector Machine. We have used our own self-created database which consists of 225 images captured from different internet resources. The proposed framework is able to achieve sensitivity, specificity and overall accuracy of about 92.72%, 94.5% and 93.6% respectively.

Extended Local Binary Pattern, Modified Extended LBP Gabor filter, Support Vector Machine, Image Segmentation

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Ritesh Maurya, "Melanoma Detection Using Modified Extended LBP," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.698-703, 2018.

As the IT industry is growing day by day, the need of computing and storage is increasing rapidly. The amount of data exchanged over the network is constantly increasing. These services return the required information in form of text, images, video etc. In Cloud computing, Load Balancing is required in such situations to avoid overload. A load balancer technique mediates client access requests to servers and intelligently decides which server is best placed to fulfil each request. Restful interfaces are mainly used for implementation of web services and are based on the resource-oriented approach. This paper discusses the some existing load balancing algorithms in cloud computing. In this review paper, Restful services are used for data storage and retrieval from Cloud system. Cloud is a storage mechanism in which one can store, process data on demand. Load balancing approach is used to distribute load dynamically among the all the nodes in the cloud. Load balancing avoids the occurrence of such a situation where some virtual machines are heavily loaded or in ideal situation. This approach has reduced the amount of data used for recovery to almost half and also maintains a secure access control mechanism for authenticated user.

REST, HTTP, Load Balance, XOR scheduling,Web Services

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[9]Luo, C., Zheng, Z., Wu, X., Yang, F. and Zhao, Y. (2016). Automated structural semantic annotation for RESTful services. International Journal of Web and Grid Services, 12(1), p.26.
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[8] Microsoft Windows Azure: Developing Applications for Highly Available Storage of Cloud Service. (2015). International Journal of Science and Research (IJSR), 4(12), pp.662-665.
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Tusha Agarwal, Abhishek Saxena, "A Review On Load Balancing Algorithm in Cloud Computing Using Restful Web Services," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.704-707, 2018.