Volume-7 , Issue-2 , Apr 2019, ISSN 2321-3256 (Electronic Version) Go Back

• Open Access   Article

  Analysis of Various Techniques for Audio Steganography in Data Security

  Manisha Verma, Hardeep Singh Saini

  Research Paper | Journal (IJSRNSC)

  Vol.7 , Issue.2 , pp.1-5, Apr-2019

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  Abstract
  In today’s digital world one is concerned with the secrecy of data and focused on copyright-dependent individuals and organizations, specifically in the domain of the entertainment industry. The variations in the human voice lead to the difficulties to generate the watermark to the audio signals in order to preserve them from unauthenticated access. The major objective of the steganography process is to enhance the security of the transmitted data. The unauthorized user can not access or misuse the steganographic file. Audio steganography is also applicable to the non-technical fields in order to keep the privacy and security of the data. This paper presents a review of recent research on audio steganography. The major focus of the study is to address various types of audio steganographic techniques along with their pros and cons. There is a need to find technique so that the data hiding is done more securely and it is not possible for the third parties to detect the data in bits.

  Key-Words / Index Term
  Audio Steganography, Bit, LSB, Security, Watermarking

  References
  [1] N. Gupta, N. Sharma, “Hiding Image in Audio Using DWT and LSB”, International Journal of Computer Applications, Vol.81, No.2, pp. 11-14, 2013.
  [2] R. Kaur, J. Bhatia, H.S. Saini, R. Kumar, “Multilevel Technique to Improve PSNR and MSE in Audio Steganography”, International Journal of Computer Applications. Vol.103. pp.1-4, 2014.
  10.5120/18067-9008
  [3] R. Kaur, A. Thakur, H.S. Saini, R. Kumar, "Enhanced Steganographic Method Preserving Base Quality of Information Using LSB, Parity and Spread Spectrum Technique", 2015 Fifth International Conference on Advanced Computing & Communication Technologies IEEE, pp.148 – 152, ISBN:978-1-4799-8487-9, 2015. DOI: 10.1109/ACCT.2015.139
  [4] M. Nosrati, R. Karimi, M. Hariri, “Audio Steganography: A Survey on Recent Approaches”, World Applied Programming, Vol.2, No.3, pp.202-205, 2012.
  [5] Sheelu, “Enhancement of Data Hiding Capacity in Audio Steganography”, IOSR Journal of Computer Engineering (IOSR- JCE), Vol.13, No.3, pp.30-35, 2013.
  [6] N. Cvejic, T. Seppanen, “ Digital Audio Watermarking Technique and Technologies: Applications and Benchmarks”, Book 2007.
  doi: 10.4018/978-1-59904-513-9
  [7] F. E. M. Al-Obaid, A.J.M. Ali, “Which Bit is Better in the least Significant Bit”, Journal of information security (Scientific research publishing), Vol.6, No.3, pp.161-165, 2015.
  doi: 10.4236/jis.2015.63017
  [8] A. Singh, “ Self Study Seminar Report Steganography”, Department of Computer Technology, Delhi Technological University, Delhi
  [9] C. R. Nagrecha, P. B. Swadas, “Audio Steganography with Various Compression Algorithms to Improve Robustness and Capacity”, International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE), Vol. 4, Issue 5, 243-247, 2014.
  [10] T.H. Hiralal, N. Gopal, V.V. Sasikumar, “Audio Steganographic Approaches: A Review”, International Journal of Engineering and Innovative Technology (IJEIT), Vol. 4, Issue 11, pp.199-203, 2015
  [11] P. Dutta, D. Bhattacharyya, T. H. Kim, “Data Hiding in Audio Signal: A Review”, International Journal of Database Theory and Applications, Vol.2, No.2, 2009.
  [12] G. Nehru, P. Dhar, “A Detailed Look of Audio Steganography Techniques Using LSB and Genetic Algorithm Approach”, IJCSI International Journal of Computer Science Issues, Vol.9, No.2, pp. 402-406, 2012.
  [13] P. Jayaram, H. R. Ranganatha, H.S. Anupama, “Information Hiding Using Audio Steganography –A Survey”, International Journal of Multimedia & Its Application, Vol.3, No.3, pp.86-96, 2011.
  [14] S. Kumar, “LSB Modification and phase encoding technique of audio steganography revisited”, International Journal of Advanced Research in Computer and Communication Engineering, Vol.1, No.4, pp.1-4, 2012.
  [15] A.Binny, M. Koilakuntla, “Hiding secret information using LSB based audio steganography”, IEEE International Conference on Soft Computing & Machine Intelligence, pp.56-59, 2014.
  doi: 10.1109/ISCMI.2014.24
  [16] K. Kaur, D. Verma, “Multi-Level steganographic algorithm for audio steganography using LSB, parity coding and phase coding technique”, International Journal of Advanced Research In Computer Science and Software Engineering, Vol.4, No.1, 2014.
  [17] P. Chandrakar, M. Choudhary, C. Badgaiyan, "Enhancement in the security of LSB based audio steganography using multiple files", International Journal of Computer Applications, Vol.73, No.7, pp.21-24, 2013.
  [18] S. Divya, M. R. M. Reddy, “Hiding text in audio using multiple LSB steganography and provide security using cryptography”, International Journal of Science and Technology Research, Vol.1, No.6, 2012.
  [19] A. Nagarajan, K.Alagarsamy, “An Enhanced Approach in Run Length Encoding Scheme (EARLE)”, International Journal of Engineering Trends and Technology, pp.43-48, 2011.
  [20] S. Joseph , N. Srikanth , J. E. N. Abhilash, “A Novel Approach of Modified Run Length Encoding Scheme for High Speed Data Communication Application”, International Journal of Science and Research (IJSR), Vol.2, No.12, 2013.
  [21] A. Ramachandran, A. K. Rajamohan, “Integrating Run Length Encoding and Column oriented database execution using Binary Search Tree”, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 2, Issue 9, 2013.
  

  Citation
  Manisha Verma, Hardeep Singh Saini, "Analysis of Various Techniques for Audio Steganography in Data Security," International Journal of Scientific Research in Network Security and Communication, Vol.7, Issue.2, pp.1-5, 2019

• Open Access   Article

  Data Mining: A Distinctive Approach to CRM

  Latika Kharb

  Review Paper | Journal (IJSRNSC)

  Vol.7 , Issue.2 , pp.6-10, Apr-2019

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  Abstract
  Customer delight is prerequisite for the existence and growth of any company. Marketing concept in present form is not focusing on the sales but understanding and serving the customers in such a way that the customers find themselves delighted. In such cases only such companies will be able to survive and grow which has the correct accessibility to correct data at opportune time. In current technologically advanced world, there is no dearth of data but the companies still fail as actual benefits were not extracted from the available data. Data Mining tools provide solution by helping in segmentation of market, and at the same time by helping in different aspects of marketing as for example in customer relationship management (CRM).The objective of the present paper is to put light on the application of data mining in field of CRM for the customer delight.

  Key-Words / Index Term
  Customer delight, Data Mining, Marketing, CRM.

  References
  [1] Mittal R.K et al., E-CRM in Indian Banks- An Overview, Delhi Business Review
  [2] Vasudevan A. Report of the Committee on Technology Up gradation in Banking Sector(July,1999),Constituted by Reserve Bank of India, Chairman of Committee.
  [3] Kargupta Hillol et al., Data Mining: Next Generation Challenges and Future Directions, Publishers: Prentice-Hall of India, Private Limited, 2005.
  [4] Kaptan, S. S. et al, Edition 2002- Indian Banking in Electronic Era.
  [5] Deshpande S. P. et al, Data Mining System And Applications: A Review.
  [6] Michael Chung H. et al, "Current Issues in Data Mining," Journal of Management Data Systems.
  [7] Bharati M. et al, Data Mining Techniques And Applications- International Journal of Computer Science and Engineering.
  [8] Goplan N. P. et al, Edition 2009.- Data Mining Techniques and Trends.
  

  Citation
  Latika Kharb, "Data Mining: A Distinctive Approach to CRM," International Journal of Scientific Research in Network Security and Communication, Vol.7, Issue.2, pp.6-10, 2019

• Open Access   Article

  Data Mining tools and challenges for current market trends-A Review

  Rakesh Kumar Saini

  Review Paper | Journal (IJSRNSC)

  Vol.7 , Issue.2 , pp.11-14, Apr-2019

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  Abstract
  Data mining is a promising and relatively new technology. Data mining is defined as a process of discovering hidden valuable knowledge by analyzing large amounts of data, which is stored in databases or data warehouse, using various data mining techniques such as machine learning, artificial intelligence (AI) and statistical. Data mining is used regularly in a variety of industries and is continuing to gain in both popularity and acceptance. However, applying data mining methods to complex real-world tasks is far from straight forward and many pitfalls face data mining practitioners. Data mining tools can analyze massive databases to deliver answers to questions such as, which clients most likely to respond to my next promotional mailing, and why? However, most research in the field tends to focus on the algorithmic issues that arise in data mining and ignores the human element and process issues that are often the cause of these pitfalls. Data mining have many advantages but still data mining systems face lot of problems and pitfalls. In this paper approximately 23 research papers were collected concerning various fields in data mining and discussed each and categorized them under the few areas and the trends was interpreted based on the area of research and applications.

  Key-Words / Index Term
  Data mining tools, Database, Data warehouse, Knowledge Discovery in Database

  References
  [1] Raj Sharma, Kaur Daljeet, A. Manju, "A Review on Data Mining: Its Challenges Issues and Applications." International Journal of Current Engineering and Technology, Vol.3, Issue. 2, 2013.
  [2] R. Agrawal. R Shrikant, “Fast algorithms for mining association rule”, In the proceeding of 20th international conference on VLDB, pp.487-499, 1994.
  [3] W. Yanthy, T. Sekiya., K .Yamaguchi.,,“Mining Interesting Rules by Association and Classification Algorithms”, In the proceeding of International Conference on Frontier of Computer Science and Technology, pp. 177-182,2009.
  [4] Bansal, Rashi, Akansha Mishra, and Shailendra Narayana Singh. "Mining of educational data for analysing students` overall performance." 2017 7th International Conference on Cloud Computing, Data Science & Engineering-Confluence. IEEE, 2017.
  [5] Priyanka, L. T., and Neethu Baby. "Classification approach based Customer Prediction Analysis for Loan Preferences of Customers." International Journal of Computer Applications 67.8 (2013).
  [6] Filipova, Biljana Teohareva, and Cveta Martinovska. "Analysing customer profiles using data mining techniques." In Proceedings of the ITI 2012 34th International Conference on Information Technology Interfaces, pp. 1-6. IEEE, 2012.
  [7] Ping, Zhao Li, and Shu Qi Liang. "Data mining application in banking-customer relationship management." In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010), vol. 6, pp. V6-124. IEEE, 2010.
  [8] Rachburee, Nachirat, Jedsada Arunrerk, and Wattana Punlumjeak. "Failure Part Mining Using an Association Rules Mining by FP-Growth and Apriori Algorithms: Case of ATM Maintenance in Thailand." In IT Convergence and Security 2017, pp. 19-26. Springer, Singapore, 2018.
  [9] Simha, Jay B., and S. S. Iyengar. "Fuzzy data mining for customer loyalty analysis." In 9th International Conference on Information Technology (ICIT`06), pp. 245-246. IEEE, 2006.
  [10] Mishra, Sushruta, Pamela Chaudhury, Brojo Kishore Mishra, and Hrudaya Kumar Tripathy. "An implementation of Feature ranking using Machine learning techniques for Diabetes disease prediction." In Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies, p. 42. ACM, 2016.
  [11] Meena, Deepak, and Hitesh Gupta. "A Review: Data Mining over Multi-Relations." International Journal of Computer Applications 62, no. 8, 2013.
  [12] Jain, Nikita, and Vishal Srivastava. "Data mining techniques: a survey paper." IJRET: International Journal of Research in Engineering and Technology 2, no. 11 (2013): 2319-1163.
  [13] Sharma, Aarti, Rahul Sharma, Vivek Kr Sharma, and Vishal Shrivatava. "Application of Data Mining–A Survey Paper." International Journal of Computer Science and Information Technologies 5, no. 2 (2014): 2023-2025.
  [14] Raval, Kalyani M. "Data mining techniques." International Journal of Advanced Research in Computer Science and Software Engineering 2, no. 10, 2012.
  

  Citation
  Rakesh Kumar Saini, "Data Mining tools and challenges for current market trends-A Review," International Journal of Scientific Research in Network Security and Communication, Vol.7, Issue.2, pp.11-14, 2019

• Open Access   Article

  Load Forecasting Algorithms with Simulation & Coding

  Amogha A.K.

  Research Paper | Journal (IJSRNSC)

  Vol.7 , Issue.2 , pp.15-20, Apr-2019

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  Abstract
  This paper provides simulations of load forecasting using GMDH Shell software, GNU Octave software and MATLAB software. The analysis made in this paper uses the algorithms like ANN and time- series. Such algorithms help in providing the good accuracy in finding the predictions of the load.

  Key-Words / Index Term
  Load Forecasting, ANN, Time series Algorithm

  References
  [1] Y. P. Wang, D.X. Huang , H.Q. Xiong, and Y. L. Niu, “Using relational analysis and multi-variable grey model for electricity demand forecasting in smart grid environment, ” Power System Protection and Control, vol.40, no.1, pp.96-100, 2012.
  
  [2] Y. Yang and D. Xue ,“ Continuous fractional-order grey model and electricity prediction research based on the observation error feedback,” Energy, vol. 115, pp. 722-733, 2016.
  

  Citation
  Amogha A.K., "Load Forecasting Algorithms with Simulation & Coding," International Journal of Scientific Research in Network Security and Communication, Vol.7, Issue.2, pp.15-20, 2019

• Open Access   Article

  A Critical Analysis on Encryption Techniques used for Data Security in Cloud Computing and IOT (Internet of Things) based Smart cloud storage System: A Survey

  Jignesh Patel, Foram Suthar, Samrat.V.O.Khanna

  Survey Paper | Journal (IJSRNSC)

  Vol.7 , Issue.2 , pp.21-25, Apr-2019

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  Abstract
  Cloud computing is an era of computing to increase the capacity of computing power dynamically without more investing in new infrastructure. It is very flexible in nature that helps to quickly access the resources efficiently from the third party service provider to expand the business with low capitalization cost. A cloud storage system stores large amount of data in its server storage system. Since the data is stored for a long term over the internet in cloud storage system it does not provide the data confidentiality and make the hackers to steal the data from storage system and even when data transition in cloud environment, With the arrival of 4G technologies and the development of 5G technologies, the mobile and wireless devices have changed people’s life. A large numbers of mobile applications produce massive sensitive data such as health, space, defense and location information in IOT based cloud computing system. Data Security in cloud is main issues of this technology. There are many methods to overcome this issue but it can’t give 100% surety about security. Data encryption is one important method to improve security of data in cloud environment. So we have briefly discusses some of the existing cryptographic algorithm approaches that help us to improve the data security in cloud environment. Before outsourcing the data from client to server, it is encrypted by encryption algorithms at client side then it will store in data server in encrypted form for security purpose. There are various encryption algorithms used to encrypt data in cloud storage system.

  Key-Words / Index Term
  Cloud computing, Encryption, Decryption, AES, DES, RSA, Security, IOT

  References
  [1]. Jignesh Patel, Om Mehta, Roshni Patel-“Theoretical Survey on Research Areas in Cloud Computing Research Issues in Cloud Computing” IJRERE, Volume 2, Issue 2 Feb2015
  [2]. Hanbing yao, Nana xing, Junwei zhou,Zhe xia, “secure index for resource-constraint mobile devices in cloud computing”, 2169-3536 2016 ieee./ volume 4,2016.
  [3]. Guicheng Shen and Bingwu Liu, ”The visions, technologies, applications and security issues of Internet of Things,” in E -Business and E -Government (ICEE), 2011, pp. 1-4
  [4]. R.Kirubakaramoorthi*, D. Arivazhagan and D. Helen “Survey on Encryption Techniques used to Secure Cloud Storage System” 0974-5645 IJST Vol 8, December 2015
  [5]. Yogita Verma and Neerja Dharmale,” A Survey Paper Based On Image Encryption and Decryption Using Modified Advanced Encryption Standard”,International Journal of Science and Research (IJSR) 2013.
  [6]. Gaurav Jain, Vikas sejwar,” A Survey On Security Using Encryption Techniques In Cloud” 2321-9939 Volume 5, Issue 2 IJEDR 2017.
  [7]. Evgeny Milanov, “The RSA Algorithm”, 3 June 2009
  [8]. M. Gobi and R. Sridevi, “An Approach for Secure Data Storage in Cloud Environment”, International Journal of Computer and Communication Engineering, Vol. 2, No. 2, March 2013.
  [9]. Rashmi Singha,Isha Panchbhaiyaa ,Abhishek Pandeya & R H Goudar ,“Hybrid Encryption Scheme (HES): An Approach for Transmitting Secure Data over Internet”, International Conference on Intelligent Computing, Communication & Convergence (ICCC-2014),Elsevier.
  [10]. Viney Pal Bansal, Sandeep Singh, “A Hybrid Data Encryption Technique using RSA and Blowfish for (CC)on FPGAs”, 978-1-4673-8253-3/15/©2015IEEE.
  [11]. Yong Yu, Liang Xue, Man Ho Au, Willy Susilo, Jianbing Ni, Yafang, Zhang, Athanasios V. Vasilakos, Jian Shen, “Cloud data integrity checking with an identity-based auditing mechanism from RSA”, S0167-739X(16)30016-4/January 15, 2016.
  [12]. Syed rizvi, Katie cover, Christopher gates, “A trusted third party(TTP) based encryption scheme for ensuring data confidentiality in cloud environment”, Procedia Computer Science 36 ( 2014 ) 381 – 386, Elsevier.
  [13]. J. Taeho, L. Xiang-Yang, W. Zhiguo and W. Meng, “Privacy preserving cloud data access with multi-authorities”, Paper presented at the INFOCOM, 2013 Proceedings IEEE.
  [14]. Peidong Sha , Zhixiang Zhu, “The modification of RSA algorithm to adapt fully homomorphic encryption algorithm in cloud computing”, 978-1-5090-1256-5/16/2016 IEEE.
  [15]. Mr.V.Biksham, Dr. D.Vasumathi, “Query based computations on encrypted data through homomorphic encryption in (CC)security”, 978-1-4673-9939-5/16©2016 IEEE.
  [16]. Yogita Verma and Neerja Dharmale,” A Survey Paper Based On Image Encryption and Decryption Using Modified Advanced Encryption Standard”,International Journal of Science and Research (IJSR) 2013.
  

  Citation
  Jignesh Patel, Foram Suthar, Samrat.V.O.Khanna, "A Critical Analysis on Encryption Techniques used for Data Security in Cloud Computing and IOT (Internet of Things) based Smart cloud storage System: A Survey," International Journal of Scientific Research in Network Security and Communication, Vol.7, Issue.2, pp.21-25, 2019