Volume 6 | Issue 1 |

 Abstract

Online shopping payment scheme is one of the popular in recent years. During payment process the attackers aim to stealing the customer data by targeting the Point of Sale (PoS) system. perused by the gadget. In that capacity, in situations where client and merchant are relentlessly or irregularly separated from the system and there is no safe amid on-line installment. We proposed work is to give secure completely disconnected work is intelligence between various customer - server. This server is recognized from legitimate to unlawful control is given to client key approach. When gather the points of interest at client side are client record is debilitate consequently by erasable PUFs . It incorporate that restricted movement is guaranteed alluded as server to customer exchange is secured. Promote, a comprehensive examination of FRODO utilitarian and security properties is given, showing its feasibility and credibility.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Secure payments, PoS system, erasable PUFs , fraud resilience, cybercrime

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Honey Structure, Honey Cipher Structure, ASCII Values, ASCII Character Representation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Now a day, all people are very familiar with mobiles. To make them free from work tensions, they will keep their mobile in silent. When they keep their mobiles in silent they may miss some important calls. Which will make them regret in future? So, to avoid this situation we came up with MODE CONVERTOR. By using this, if a mobile is in silent and a same mobile number is calling continuously 5 times then at the 6-time call of the same mobile number will automatically convert into ring mode. By this a person will not lose their valuable information. Mobile learning management systems are very important for training purpose. But considering the present scenario, the learners are equipped with a number of mobile devices that run by different operating systems with diverse device features. Therefore, developing a mobile application for different platforms is a cumbersome task if appropriate tools and techniques are not practiced. There are three categories of mobile application namely native, web based and hybrid. For mobile learning system, hybrid is an appropriate choice. In order to avoid re-implementation of the same hybrid application for different platform separately, several tools are proposed for example: Phone Gap, Adobe Air, Sencha Touch and QT, each with their own strength. With proper use of the strength of individual framework or the combination of frameworks, more compatible and more stable, cross-platform mobile learning application specifically for quizzes and assignments can be developed

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

cross-platform; mobile devices; framework; mobile learning; hybrid mobile app

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

privacy policies, authentication, A3P, Social network, policy prediction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In a Human Life Span Heart disorder is a significant reason for spitefulness also, humanity in the advanced society. Beneficial study is a critical yet complicated responsibility that must to be performed precisely and productively and its robotization would be extremely helpful. All specialists are shockingly not similarly able in each sub declare to fame and they are in many spots a rare benefit. A framework for computerized medicinal determination would improve beneficial mind and reduce costs. This paper expects a study of current procedures of information disclosure in databases utilizing information mining procedures that are being used in the present therapeutic seem into especially in Heart Disease Prediction. The human services industry gathers massive measures of social assurance information, which are not mined to find profitable data for effective basic leadership. The medicinal services segment is still data prosperous yet learning poor. Although, there is an absence of productive examination tools to find hidden examples and patterns in medicinal dataset. In the medical services industry, the information mining Procedures is principally utilized for grouping and anticipating the difficulties from medicinal datasets.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Heart disease prediction system

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

An increasing number of uses need the productive execution of nearest neighbor (NN) queries thankful by the properties of the spatial objects. Because of the significance of key-word hunt, mainly at the Internet, a widespread lot of these applications permit the purchaser to give a rundown of key phrases that the spatial objects (from this time forward alluded to simply as items) must include, in their portrayal or other pleasant. We targeted on multi-dimensional dataset in which each information factor has set of key phrases in function space allows for the development of latest gear to question and explore these multidimensional dataset. Here we observe nearest key-word set Queries on textual content rich multidimensional dataset. We recommend a brand new approach known as ProMiSH (Projection and Multi scale Hashing) that uses random projection and hash-primarily based index shape. Our experimental result shows that ProMiSH has Speedup over nation-of-art-tree-primarily based techniques

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

multi-dimensional dataset, ProMiSH

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nowadays the field of Big Data plays a vital role in various spheres. Big data is a term for massive data sets having a huge volume of data from different organizations, enterprises, and other businesses; healthcare data is continued data which has more varied and complex structure with the difficulties of data privacy, security, transformation, storing, analyzing, knowledge extraction, and visualization. In this paper our proposed work focuses on big data analytics to evaluate the quality of the research evidence on the smarter healthcare system using an augmented big data analytics with Outsmart-FGAC Cloud framework, which addresses the challenges with smart health care system and proves that how such information impacts the quality of attention on the smarter health care system.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Big Data Analytics, Smarter healthcare, Outsmart FGAC Cloud Framework, Cloud Computing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Broadcast encryption; Group key agreement; Public key broadcast encryption (PKBE)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The major aim of Location Based Services (LSB) is based on the location, it is used to provide services like food ordering system, Google map and some kind of e-shopping websites are completely based on locations. Based on the user location LSB provide continuous report to the un trusted server to obtain the services which can avoid privacy risks.LBS have existing privacy-preserving techniques as requiring a fully-trusted third party, it offers limited privacy guarantees and incurring high communication overhead. In this paper, we propose a user-defined privacy grid system which is called as dynamic grid system (DGS). Privacy-preserving snapshot and continuous LBS have four effective requirements. . (1) A semi-trusted third party is responsible for matching operations correctly and it does not have any information about a user's location. (2) Secure snapshot and continuous location privacy is guaranteed to defined adversary models. (3) The communication cost for the user does not depend on the user's desired privacy level; it depends on the number of relevant points of interest in the domain of the user. (4) The system can be easily enlarged to support other spatial queries without changing the algorithms run by the semi-trusted third party and the database server. Experimental results show that the DGS is more efficient than the state-of-the-art privacy-preserving technique for continuous LBS.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Grid system, Location Based services (LBS), Location privacy, Dynamic Grid system

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this paper suggesting a functional processing frame work nominated Image Cloud processing (ICP) to powerfully subsist with the data in Image processing field. The image processing algorithms to increase greater proficiency, it focuses on giving a general structure to the algorithms that can be executed in parallel to achieve the goal The ICP framework consist of two processing systems i.e.; Static ICP (SICP) and Dynamic ICP (DICP). SICP is handling the image information pre-stored in the distributed system; DICP is initiate for dynamic information. To Manage SICP, two new data representations named as P-Image and Big-Image are implemented to coordinate with Map Reduce to attain more optimized marshalling and higher coherence. DICP is enact into a parallel processing schedule working with the standard technique of the proper framework. Image Net dataset are used to authorize the capacity of ICP framework over the traditional state-of-the-art methods, both in time efficiency and quality of results.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Big data, Image processing, MapReduce, Distributed system, Cloud computing

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Creative Commons Attribution 4.0 and The Open Definition