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As the usage of the Internet of Things (IoT) is increasing, the challenges of providing security for IoT are becoming severe. Every IoT device generates and shares the data, which plays a key role in IoT applications. To understand the IoT security, one should observe many approaches like data, communications, and applications. Among these, a view from the data side may be of much help. This paper analyses various issues in IoT security from the data approach. Authors propose a Three Perspective Model consists of Exclusive, Inclusive and End-Users Perspectives to provide IoT Security by integrating IoT architecture and Data Transmission. The Exclusive Perspective focuses on individual IoT devices, the Inclusive Perspective focus on collective IoT devices and the end-users perspective focus on IoT applications. The three perspectives focus on the secure transmission of data, authentication, privacy and the challenges against IoT applications. This paper analyses the data perspective of IoT security discusses the challenges and suggests some possible solutions for IoT security.

Internet of Things, Safety, Security, Privacy

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Raviteja Gaddam, M. Nandhini, "An Analysis of the Internet of Things Security From Data Perception," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.427-433, 2019.

Online video search and play is an aspect of that is used for innumerable purposes which comprise infotainment, video-logs, advertisement, endorsement, etc. It is one of the most resource intensive processes. Using up-to-date technologies to create an application to improve both user experience and application performance is important so as to adapt with the changes like hardware capability, bandwidth speeds and software platforms. To attract users from conventionally used platforms to newer ones we utilize the latest Angular v6 framework for creating a cross platform single page application (load once and refresh dynamically mechanism) which can be developed on a component and service driven model using any popular programming language along with the features like voice enabled search through integration of open source web speech API for real time voice recognition and content filtering based on trend, geographic location and other statistics. To create such application the primary need is to avail it with vast amount of organised data that can be easily accessed; a suitable data API like YouTube API can seamlessly be used with the application. This web application is highly responsive with support for mobile devices like tablets and smartphones. It can be easily morphed as the technologies advances, newer versions Angular provides facility to extend older versions with features introduced with them. The proposed application has the potential to be extended by adding other APIs to suit user’s need and expand our application’s database by adding more than one source for videos through integration of multiple data API.

Angular v6, Single page application, video player, web speech API, voice recognition, location based search, YouTube API

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Amol K. Kadam, T.B. Patil, Yash Kesharwani, Harsh Garg, Akash Gupta, "A Location specific and Trends based Video Streaming Platform with integrated Web Speech API through Angular 6," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.434-438, 2019.

As a personal or business cloud computing user can processing their accumulated information on the `cloud`, via an Internet connection. The main attitude following this form is for providing, processing, storing “as a service.” Technologies such as cluster have all aimed at providing permission to accessing huge amount of information on entirely implicit way by combine the resources and recommending distinct sight of the structure. Network security is goings-on which were modelled for preventing our data while used on the network. It was included on both the technologies of hardware as well as software. Network security technology achieved variety of its targets such as coercions and prevents them from stabbing or extending on the network in this paper SSL handled the data in private cloud computing.

SSL, Cryptography, Privatecloud computing

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D. Meenakshi, V. Karthika Devi, "SSL Based Cryptography Data Management in Private Cloud Computing," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.439-442, 2019.

Stock market prediction is an attractive research problem to be investigated in the field of computational finance. News contents are one of the most important factors that have influence on market. Considering the news impact in analyzing the stock market behaviour, leads to more precise predictions and as a result more profitable trades. Text mining , or the pragmatic research perspective of computational linguistics, has become increasingly powerful due to data availability and various techniques developed in the past decade. However, no detailed comparison of the systems and their performances is available thus far. This paper tries to describe the main systems developed and presents a survey work for comparing the approaches.

Text mining, Natural language processing (NLP), sentimental analysis, stock market prediction

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A. Sahoo, J.K. Mantri, "Stock Market Prediction Using Text Mining Approaches: A Survey," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.443-450, 2019.

Big data is an expression for a data set. Big data sets are those that exceed the straightforward sort of database and data taking care of models that were utilized in before times, when big data was progressively costly and less achievable. Experts also initiate the distinctiveness and function of several popular running platforms. In this paper, we elaborate to identify the challenges and issues of big data and data Ming with closed relationship. We recognized quite a lot of factors from the big data and data Ming perspective and we also decorated the data Ming issue that justify considerable additional research and development. However, database and data taking care of models issues there a crucial difficulty for user to get used to into data Mining.

Mining, Architecture, Challenges, Big Data, Research Issues

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Kavita Srivastava, "A Study on Relationship between Data Mining and Big Data," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.451-452, 2019.

In this era, Machine Learning (ML) is persistently releasing its power in extensive variety of applications. It has been observed in previous years partly owing from advert of massive data. Huge information empowers machine learning calculations to reveal all the designs and make more precise predictions than ever before. In another way, machine learning presents challenges in field of data mining and big data. In this paper, we discussed what machine learning is and how it is related with big data. Here, we have introduced some phases of ML and the tools used to perform accurate prediction and how it is helpful in future tasks. This paper also has been discussed the opportunities and challenges associated with ML.

Machine Learning, Big Data, Data Mining, Knowledge Discovery

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Anamica Tejpal, Kamaljit Kaur, "Machine Learning : Survey," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.453-457, 2019.

The detection of leaf is a very important factor to prevent serious outbreak. Automatic detection of plant disease is essential. Most plant diseases are caused by fungi, bacteria, and viruses. Fungi are identified primarily from their morphology, with emphasis placed on their reproductive structures. Bacteria are considered more primitive than fungi and generally have simpler life cycles. With few exceptions, bacteria exist as single cells and increase in numbers by dividing into two cells during a process called binary fission. Viruses are extremely tiny particles consisting of protein and genetic material with no associated protein. The term disease is usually used only for the destruction of live plants. The developed processing scheme consists of four main steps, first a color transformation structure for the input RGB image is created, and this RGB is converted to HSI because RGB is for color generation and for color descriptor. Then green pixels are masked and removed using specific threshold value, then the image is segmented and the useful segments are extracted. Finally the presence of diseases on the plant leaf is evaluated.

Noise removal, Segmentation, clustering, pre-processing

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[3] A. F. Sandesh Raut, "Plant Disease Detection in Image Processing Using MATLAB," International Journal of Innovative Research in Science, Engineering and Technology , vol. 6, no. 6, p. 10373, 2017.
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[5] M. S. Amar Kumar Deya, "Image Processing Based Leaf Rot Disease, Detection of Betel Vine," International Conference on Computational Modeling and Security, vol. 1, no. 1, p. 1, 2016.
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M. Krishnamoorthy, A. Noble Mary Juliet, C. Keerthana, R. Usha Nandhini, "Diseases Identification in Plants Using K-Means Algorithm," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.458-462, 2019.

In the presented work, the flow-field around dropped airfoils was investigated to establish a correlation with transverse flow on a flat plate. This scenario relates to falling maple seeds and developing a fundamental understanding of the how the forces and drag coefficients develop prior to rotation. Understanding the development of these forces will lead to understanding the characteristics of maple seeds (and other auto-rotating seeds) that cause auto-rotation and development of leading-edge vortices. Using CFD, a thin, almost 2D airfoil was placed in a 3D environment and dropped through free space. Flow around the dropped airfoil was accelerated by gravity considerations. The resulting surface forces were evaluated through comparison of coefficient of drag values for transverse flow on a flat plate. The analysis of the forces demonstrated that the drag coefficient values on the lower surface of NACA 0012 and E63 airfoils profile were found to be similar to the flat plate values. The convex NACA 0012 airfoil experienced larger surface forces than flat plate and the concave E63 airfoil experienced smaller surface forces than flat plate. This work also demonstrates that coefficient of drag varies with time.

Transverse Flow, Cross-flow, NACA 0012, Dropped Airfoil, Flat Plate, Perpendicular Flow

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C. Seidel, R.LeBeau, S. Jayaram, "CFD Based Numerical Analysis of Flow-Field Characteristics on Airfoils Experiencing Transverse Flow," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.463-468, 2019.

This research paper proposes a cluster-based framework for Infrastructure-as-a-Service (IAAS) which enables customers effectively hosted intensified performance computing applications and cloud service providers (CSP’s) to use their resources beneficially. The solution incorporates the cluster-based framework which handles the geographical data centers grouped logically in clusters. This cluster-based framework overcomes the challenges of traditional centralized provisioning approaches. A. Efficient on-demand IaaS provisioning. B. Auto-scaling of increasing number of IaaS requests. C. Effectively use of Geographical Data center computing resources. D. Maintain Quality of Service parameter requirements for different IaaS requests. Incorporate Vickrey-Clarke-Groves (VCG) mechanism to solve exaggeration and collusion issues. The solution generated extended to host cloud applications based on mobile and how effectively it will work in a changeable environment. To pace the performance of the distributed IaaS framework vs (RCG-IaaS) regional IaaS provisioning model based on an efficient decomposition technique, Column generation as a large scale optimization tool, I use the additional performance metrics as follows: Basic Performance metric: Speedup (Su): Speed gain of using more processing nodes over a single node, Efficiency (E): Percentage of maximum performance (speedup or utilization) achievable (%), Elasticity (El): Dynamic interval of auto-scaling resources with workload variation & Cloud Productivity: QoS of Cloud (QoS): The satisfaction rate of a cloud service or benchmark testing (%), Service Cost (Cost): The price per cloud service (Compute, Storage etc.) provided ($/hour), Availability (A): Percentage of time the system is up to deliver useful work (%).

Cloud Computing, VCG mechanism, IaaS, Data Centers, Cluster, Auction, Distributed, Geo (Geographically)

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Shashi Kant Gupta, Mohammadi Akheela Khanum, "A Review: Distributed Auction-Based Framework v/s Cluster-Based Framework for Auto Scalable IaaS Provisioning in Geo-Data Centers," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.469-476, 2019.

The need of seamless and ceaseless faster internet connection speed is on the rise. Since, most of us have access to Wireless Fidelity (Wi-Fi) to fulfill this need, which can become our only option. That’s why, in 2011, a new revolutionary technology comes into light, which is known as, Light Fidelity (Li-Fi). But, testify existing Li-Fi system, a detailed study of its behavior with other IEEE standards such as, Low power Bluetooth (BLE), Wi-Fi, ZigBee etc. should done, which can fulfill by Wireless Sensor Network (WSN). This survey paper represents numerous work happened in field of Wireless Sensor Networks (WSNs) from various IEEE standard based protocols like, Wi-Fi and Li-Fi. So, here at first, brief introduction of various IEEE standards and Wireless Sensor Network (WSN) carried out. Then, in next section, a literature review of various research paper presented along with comparison between Li-Fi and Wi-Fi technologies and applications of Li-Fi in Wireless Sensor Network.

WSN, IoT, Wi-Fi, Li-Fi, Smart City

[1] V. G. N. J. Mithileysh Sathiyanarayanan, "Challenges and Opportunities of Integrating Internet Of Things and Li-Fi," in IEEE, Tumkur,India, 2017.
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Karan. A. Parmar, D.M. Patel, D.G. Thakore, "Survey on Improving Wireless Sensor Network (WSN) with Li-Fi and Wi-Fi for Smart City Applications," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.477-481, 2019.