Volume-7 , Issue-2 , Feb - 2019 Go Back

The research on stock market is considered as an important issue from recent years. The investment in stock market is performed based on prediction and analysis. The current market economy has numerous variables which need to be considered before doing a transaction in stock market. So, the analysis of the variables manually is a tough task. In order to predict the variables in the stock market and analyse the affecting factors machine learning approach is best suited. The machine learning can provide prediction of different aspects such as index value, higher stock price, exchange rate etc. Different machine learning approaches like naive Bayes classifier, support vector machine, Artificial neural networks are reviewed which helps in stock price prediction and the market prediction. stock market prediction helps the investors and traders make better and quick decisions and ensure profits. Furthermore, advantages and limitations are discussed based on the prediction accuracy and performance.

Stock market, Prediction, Big data, Machine learning

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T. P Sameerapallavi, B. Manjula, "An Efficient Approach on Big Data for Stock Prediction with the Aid of Optimal Machine Learning Approach," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.482-486, 2019.

Communication innovations supply the blood for shrewd city applications. In perspective of the consistently expanding remote traffic produced in brilliant urban communities and our effectively clogged Radio Access Systems (RANs), we have as of late planned an information transportation arrange, the Vehicular Cerebral Ability ReapingSystem (V-CARS), which misuses the collected range opportunity and the versatility opportunity offered by the gigantic number of vehicles venturing out in the city to not just offload delay-tolerant information from blocked RANs yet additionally bolster delay-tolerant information transportation for different savvy city applications. To make information transportation productive, in this paper, we build up a range aware(SA) information transportation conspire dependent on Markov choice procedures. Through broad reproductions, we show that, with the created information transportation conspire; the V-CARS is compelling in offering information transportation administrations notwithstanding its reliance on powerful assets, for example, vehicles and reaped range assets. The reenactment results additionally show the prevalence of the SA plot over existing plans. We expect the V-CARS to well supplement existing media transmission arranges in dealing with the exponentially expanding remote information traffic.

Smart cities, data transportation, data offloading, vehicular networks, cerebral radios.

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Maddali M. V. M. Kumar, Shaik Farjana, "Emerging Data Transportation Scheme for V-CARS Architecture by Formulating the Data Delivery Process," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.487-491, 2019.

The Internet of Things (IoT’s) fast growth is affected by resource use and fears regarding privacy and security. An answer put together addressing security, efficiency, privacy, and measurability is required to support continued growth. We have a tendency to propose an answer shapely on human use of context and data, lever-aging cloud resources to facilitate IoT on affected devices. We have a tendency to applying method information to provide security through abstraction and privacy through remote data fusion. We have a tendency to define the components and contemplate the key ideas of the “data proxy” and the “cognitive layer.” The information proxy uses system models to digitally mirror objects with lowest input information, whereas the cognitive layer applies these models to monitor the system’s evolution and to simulate the impact of commands before execution. The data proxy permits a system’s sensors to be sampled to fulfill a such quality of information target with lowest resource use.

Emerging technologies, Internet of Things (IoT), networking architecture

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S. Sabeena, M. Jaganathan, "A Vision of Internet of Things," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.492-497, 2019.

These days, Space info Network (SIN) has been broadly speaking used, in fact, on account of its favorable circumstances of conveyancing anywhere whenever. This part is prompting another pattern that customary remote purchasers can wander to SIN to induce a superior administration. Be that because it could, the highlights of uncovered connections and better flag dormancy in SIN build it arduous to structure a protected and fast wandering verification plot for this new pattern. Albeit some current investigates are focused around designing secure validation conventions for SIN or giving rambling confirmation conventions to customary remote systems, these plans cannot offer adequate stipulations to the wandering correspondence in SIN and find basic problems, for instance, protection spillage or deplorable verification delay. looking at these problems haven`t been all around attended, we have a tendency to structure a mysterious and fast wandering confirmation conspire for SIN. In our arrange, we have a tendency to use the gathering mark to offer the secrecy to wandering purchasers, and expect that the satellites have restricted process limit and influence them to possess the characterised validation capability to keep up a strategic distance from the constant contribution of the house system management focus (HNCC) whereas confirming the rambling purchasers. the results of security and execution examination demonstrate that the projected arrange will offer the specified security highlights, whereas giving a touch validation delay.

Access validation, secrecy, meandering, and space data organize

[24] I. Memon, M. R. Mohammed, R. Akhtar, H. Memon, M. H. Memon, and R. A. Shaikh, “Design and implementation to authentication over a GSM system using certificate-less public key cryptography (CL-PKC),” Wireless personal communications, vol. 79, no. 1, pp. 661–686, 2014.

R. Murugadoss, Sanka Mounika, "Anonymous and Fast Roaming Authentication Process in Space Information Networks," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.498-502, 2019.

With the advancement in information technology, use of cloud has gained rapid acceptance. The usage of such public infrastructures not only increase the risk of data theft but also raise concerns for providing better security to data and resources. One aspect of security deals with authentication method that is used to gain access to the resources over these shared platforms. Strong authentication technique lays foundation for data protection. Simple username-password schemes (single factor) have been proved to be insecure and insufficient in providing secured access thereby urging the need for multifactor authentication (MFA) schemes. Multifactor authentication schemes not only provide an extra layer of security but are also robust against various types of network attacks. The objective of this paper is to review the various multifactor authentication schemes and models that are used to verify the identity of users. This paper highlights the technique, multi-layer cybersecurity strategy, strengths and weaknesses of various schemes with the view to enhance security.

Authentication, Multifactor, Security, Passwords, Attack

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Charanjeet Singh, Tripat Deep Singh, "A Systemic Review of Various Multifactor Authentication Schemes," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.503-510, 2019.

Internet has become a vital source of communication through that data is transmit, receive and share in style of emails, text, speech, images, videos, audios etc. currently a day’s JPEG pictures are wide utilized in our everyday life.. Communication between end user can be secure by using Cryptography. Such kind of communication can be embedded by using Steganography. However Steganography will use in digital carries like text, image, audio or video document for hide secrets documents. Now a day Steganalysis is a new approach to find and analyse the important information which is hiding using the steganography method. The steganalysis for JPEG kind pictures becomes important and important. Steganalysis in pictures supported DCT remodelled region, able to acknowledge the foremost widespread steganography algorithms occurring on the net. However performance of any algorithmic program depending on sensitivity of options and quantity of information hidden in a picture. This paper is provides an overview about steganography techniques and steganalysis techniques for digital images to find cue against to where to look for hidden data in images, discussion about different steganalysis algorithmic programs, steganalysis classification methods, limitation and characteristics of different steganalysis method.

Steganography, Universal Steganalysis, Steganalysis, Multimedia documents, Cryptography, Cover Image, Stego Image, Classification, DCT

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[20] K. Nandhini1, B. Gomathi” Implementation of LSB Based Steganography Algorithms in FPGA”, IJSRNSC, Volume-6, Issue-5, June 2017.
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Sindhav Bhumika A, N. M. Patel, U. K. Jaliya , "Blind Image Steganalysis: A Review," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.511-514, 2019.

The latest favorable technology which delivers to the customer end data facilities at a high speed is the Worldwide Interoperability for Microwaves Access (WiMAX). By observing the foundation of the WiMAX physical layer an understanding has been superlatively attained regarding the system of WiMAX. The foundation of the WiMAX physical layer is discussed in this paper. The studies and research of the students and scholars are based on the meadow of WiMAX can use this model as a helpful reserve. By using some kind of channel coding the performance can be augmented. Coded-OFDM (COFDM) is scheme this form of implementation is termed as. The reimbursements of using COFDM in a WiMAX system have also conversed in this paper

WiMAX (Worldwide Interoperability for Microwaves Access), Coded-OFDM (COFDM), Orthogonal Frequency Division Multiplexing (OFDM)

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[12] Al-Majdi, K., Al-Moussawy, R.S. and Hasan, L.A, “ Reed Solomon Coding in Orthogonal Frequency Division Multiplexing (OFDM) Communication Systems”, Journal of Engineering and Sustainable Development, pp.162-174, 2012.
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[15] I G.Astawa, Y. Moegiharto, A. Zainudin, I. Salim, N. Anggraeni, “Performance Analysis of MIMO-OFDM Using Convolution Codes with QAM Modulation”, International Journal of Electronics and Communication Engineering, pp. 1744-1747, 2013.
[16] A. Joshi, D. S. Saini, “Coded-OFDM in various Multipath Fading Environments”, In Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on IEEE, pp. 127-131, 2010.
[17] J. Stott, “Explaining some of the magic of COFDM,” Proceedings of 20th International Television Symposium, pp. 341-350, 1997.
[18] J. Kataria, P. Kumar, T. Raj, “A Study and Survey of OFDM versus COFDM,” International Journal of Science and Modern Engineering (IJISME), pp. 64-67, 2013.

Garima Behl, H.P.S. Rishi, Dalveer Kaur, "A Bloc of CODED-OFDM and WiMAX overshadowing OFDM: A Survey," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.515-518, 2019.

The merging of Internet of Things (IoT), Wireless Body Area Network (WBAN), and Cloud Computing (CC) has greatly influenced the Electronic Medical (E/M) Healthcare system. As the use of E/M healthcare increases, the chances of privacy and security violation increases. To address this, a Healthcare system framework is designed which collects medical data from WBAN, transmits them through Wireless Sensor Network (WSN) and publish them through Wireless Personal Area Network (WPANs). WSN allows more number of nodes to transmit the packets from source to destination. It involves three techniques 1) Packet Scheduler where there can be multiple source and destination which prevents collision. 2) Multiple selection method based upon monitor node which provides multiple routes. The monitor node optimizes the selected node. 3) Node to Node compression and Load Balancing Technique which compress the packets sent from source to destination and to decrease the delay. The data collected from WBAN will be aggregated and stored in a file. The file is uploaded to cloud and is accessed by Hospital authorities whenever required. Simulation results shows that the proposed system perform better than existing system with respect to Packet delivery ratio, Transmission time and Energy consumption.

Cloud computing, healthcare system, Internet of thing, WBAN, WSN

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[7] Jelena Mirkovic, Haakon Bryhni, Cornelia M. Ruland, “Secure Solutions for Mobile Access to Patients Health Care Record,” in IEEE International Conference on E-health Networking,Application and Services, pp. 296-303, 2011.
[8] Linke Guo, Chi Zhang, Jinyuan Sun, Yuguang Fang, “A Privacy Preserving Attribute Based Authentication system for Mobile Health Network”, IEEE Transactions on Mobile Computing, Vol 13, No. 9, pp. 1927--1941 , 2014.
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[10] El Hadi Cherkaoui, Nazim Agoulmine, “Context Aware Mobility Management with Wifi/3G Offloading for Ehealth WBANs” in IEEE 16th International Conference on e-Health Networking, Applications and Services, pp 472-476, 2014.
[11] Alex Page, Ovunc Kocabas, Scott Ames, Muthuramakrishnan Venkitasubramaniam and Tolga Soyata, “Cloud Based Secure Health Monitoring: Optimizing Fully Homomorphic Encryption for streaming Algorithm”, in IEEE Globecom Workshop-Cloud Computing System. pp. 48-52, 2014.
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[15] Marcos A. Simplicio Jr., Leonardo H. Iwaya, Bruno M. Barros, Tereza C. M. B. Carvalho, and Mats Naslund , “ Secour Health : A Delay Tolerant Security Framework for Mobile Health Data Collection”, in IEEE Journal of Biomedical and Health Informatics, Vol. 19, No. 02, pp. 761--772,2015.
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[19] Di Lin, Fabrice Labeau, Yuanzhe Yao, Athanasios V. Vasilakos, and Yu Tang, “Admission Control over Internet of Vehicles Attached with Medical Sensors for Ubiquitous Health Care Applications” in IEEE Journal of Biomedical and Health Informatics, Vol. 20, No. 4, pp 1195-1204, July 2015.
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Buddesab, Thriveni J, Venugopal K R, "Private and Secure Healthcare Data Transmission and Analysis for Medical Wireless Sensing System," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.519-527, 2019.

Through the proposed method GC content of human DNA sequence have been calculated. The GC content plays a major role in disease prediction. Normally in a human genome the GC content is 35% to 60% , if found less than 35% then it indicates about some deficiency diseases like essential amino acid deficiency disease ( mainly Alanine, proline, glycine); and if this content is found more than 60%, then it can be indication of some chromosomal or genetic diseases. So, based on the report of GC content a human can take some precautions to eradicate the probability of happening these kind of diseases.

Alanine, Cytosine, DNA, Guinine, Glycine, Proline

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Annwesha Banerjee, Anindya Sundar De, Rashbihari Halder, Gopal Basak, Agnish Majumder, "Prediction of Human Genetic Disease based on Guanine - Cytosine Count," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.528-531, 2019.

Recent wireless sensor networks (WSNs) are getting progressively advanced with developing network scale and therefore dynamic nature of wireless communications. Several diagnostic approaches depend upon per-packet routing ways for correct and fine-grained analysis of the advanced network behaviors. Here we analyzed various path inference approaches to reconstruct routing paths. Based on the earlier contribution and recent studies, iPath provides an efficient and optimal routing path and iPath achieves much higher reconstruction ratios under different network settings compared to other state of the art approaches. The main theme of ipath is to construct a long path from the known short paths. This Process starts with primary paths and then conducts path inference repeatedly.

Estimation, way recreation, Wireless sensor systems

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Katta Sindhu Chowdary, Sarika Nyaramneni, "Novel Path Inference in Large Scale Wireless Networks Using Sensors," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.532-539, 2019.