Volume 6 | Issue 1

 Abstract

Steganography is the hiding of a secret message within an ordinary message and the extraction of it at its destination. Steganography is the word derived from Greek. Stego means hiding, graphy means writing. It is the science of embedding information into the cover image viz., text, video and image without causing statistically significant modification to the cover image. If the selected image is color image, then convert the image into pixels and the pixels into cells. Read each pixel and generate the color code for that pixel. Here we use LSB(least significant bit) technique to hide the message into the image. LSB data hiding technique does not affect the visible properties of the image. For using LSB technique, we first convert the color code into binary language. Now by using LSB technique, we change the least significant bit value for the binary code generated before. So after changing the least significant bit value whatever value we get, for that number we see the color code and then we hide our text in that pixel which will contain that particular color code. Repeat this process until we hide our full message.

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 Keywords

Steganography, Cover image, Pixels, Cells, LSBTechnique, Binary code

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the present years, Text mining is a developing examination issue in Data Mining. Stemming is to discover stop of specific word. Stemming method is utilized to reduce words length to their resource structure, by expelling derivational and inflectional suffix. Various analysts have proposed the procedures for evaluating the quality and closeness of stemming calculations in various ways. This information the measure of the content quantity reduces by the stemming procedure however couldn't be valuable to numeral the exactness of the stemmer. In this paper, we have utilized one of them to evaluate the quality and proposed one basis for measuring the strength(WSF) and two criteria for measuring the accuracy(CSF and AWCF) of stemming calculation. The examination assesses the quality and exactness of four distinctive closes migration stemming calculations what's more, discovered that every one of the calculations allowed. in this paper are solid and heavier, yet are less precise. In any case, the precision of accurately stemmed words and conflating variation expressions of same gathering to medication source word is great, yet not edible, in Paice/Husk stemmer than alternate stemmers

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 Keywords

Data Mining, stemming

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 Abstract

The usage of buffer cache improves the system performance and throughput when buffer cache utilized very effectively. For effective use of buffer cache having many techniques in those pattern based methodology works very efficiently and enhance the system performance. Future block reference is identified from the detected pattern. Marginal gain functions are used for managing the partitions. This proposed methodology main aim is improve the buffer cache hit ratio used to enhance the performance

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 Keywords

Buffer Cache, Cache Partition, Replacement policies

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 Abstract

This Scheme proposed an upgrade information security system for cloud the use of two Components. In this framework sender sends an encoded message to a recipient with the help of cloud component. The sender requires to catch distinguishing proof of collector however no need of different data which joins declaration or open key. To decode the outline content, recipient wants components. The main information or is an exceptional non-open security device or some tools associated with the tablet framework. Second one is close to home key or discharge key put away inside the PC. Without having those issues outline message in no way, nature or form decoded. The critical part is the security apparatus lost or stolen, at that point form content can't be decoded and equipment device is rejected out to decode outline fictional matter. The execution and security assessment show that the device is secure not resisted for all reasons and purposes connected. The device makes utilization of another equipment tool. This paper proposes Identity Based and characteristic based encryption approach of distributed storage which might be implementable On cloud stage. The record investigations the attainability of the applying encryption set of arrangements for information security and privacy in distributed storage with all sort of present day calculations.

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 Keywords

Two- Factor Data Security Protection

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 Abstract

we explore the security of an outstanding cryptographic primitive, in particular Public Key Encryption with Keyword Search which is exceptionally valuable in numerous uses of distributed storage. Unfortunately, it has been demonstrated that the normal PEKS structure experiences a natural weakness called inside Keyword Guessing Attack forced by the harmful server. Distributed computing, huge scope of clients and measurements administrators are affected to outsource their realities to cloud servers for enormous accommodation and diminished cost required for data administration. In any case, vital actualities should be scrambled sooner than outsourcing for security necessities, which utilizes records use method like catchphrase fundamentally, based record recovery. Accessible encryption is of expanding excitement for ensuring the information insurance in quiet accessible circulated carport. In this paper, we thinks about the security of a remarkable cryptographic primitive, especially, Public Key Encryption with Keyword Search (PEKS) that is very profitable in a few usages of distributed storage. The customary PEKS structure reports an unavoidable precariousness known as inside Brute Force catchword guesses attack moved through the cruel server. To address this security helplessness, we recommend some other PEKS framework named Dual Server PEKS (DS-PEKS). Through this propose framework, we can enhance the security for distributed storage frameworks.

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 Keywords

pke, sse

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 Abstract

Now-a-days people are interested in using digital images. There is a great need for developing an efficient technique for finding an image. Image mining is a vital technique which is used to mine knowledge straight forwardly from image. Image segmentation is the primary phase in image mining. It has been a difficult task in computer vision. The role of image segmentation is to decompose an image into parts that are meaningful with respect to the particular applications. The goal of data mining process is to extract information from a data set and transform it into an understandable structure for further use. The pixel discovery is critical issue for any specialists. In this work a strategy to recognize pixels by utilizing picture preparing methods with incorporates picture pre-handling , picture division, extraction, morphological operations and grouping system is used. Abnormal pixels are identified in filtered image by using marker controlled watershed segmentation and gradient magnitude. This present work proposes a technique to identify the pixel point adequately from the filter pictures. It will minimize blunder made by the human exposed eye. MATLAB is broadly utilized programming for the investigation of data mining identification from filtered pictures. We utilized MATLAB 2017b for building up this anticipate.

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 Keywords

picture identification, Gaussian mixture, watershed transform, morphological functions, L*a*b color based, k-means clustering, Thresholding, MATLAB 2017b

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A bug report is typically assigned to a single developer who is then responsible for fixing the bug. Development a new bug firstly is found by developers or users. Then the bug is described as a bug report, which is submitted to a bug repository. Finally the bug trigger checks the bug report and typically assigns a developer to fix the bug. The assignment process is time-consuming and error-prone. Furthermore, a large number of bug reports are tossed (reassigned) to other developers, which increases bug-fix time. In order to quickly identify the fixer to bug reports we present an approach based on the bug tossing history and textual similarities between bug reports. This proposed approach is evaluated on Eclipse and Mozilla. The results show that our approach can significantly improve the efficiency of bug assignment: the bug fixer is often identified with fewer tossing events.

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 Keywords

bug assignment, bug reports, bug tossing, information retrieval, software engineering

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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

Big data, big data architecture, Data mining issues

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The project entitled Audio Steganography is the application developed to embed an audio file in another audio signal. It is concerned with embedding information in an innocuous cover Speech in a secure and robust manner. This system makes the Files more secure by using the concepts Steganography and Cryptography. Steganography, poor cousin of Cryptography is the art of hiding messages inside other messages such that the very existence of the message is unknown to third party. The goal of cryptography is to make data unreadable by a third party, the goal of stenography is to hide the data from a third party Through the use of advanced computer software, authors of images and software can place a hidden trademark in their product, allowing them to keep a check on piracy. This is commonly known as watermarking. Hiding serial numbers or a set of characters that distinguishes an object from a similar object is known as finger printing. Together, these two are intended to fight piracy. The latter is used to detect copyright violators and the former is used to prosecute them. But these are only examples of the much wider field of stenography.The cover data should not be significantly degraded by the embedded data, and the embedded data should be as imperceptible as possible. The embedded data should be as immune as possible to modifications from intelligent attacks or anticipated manipulations .Thus it is necessary that the hidden message should be encrypted.

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 Keywords

Audio Steganography , Padding LSB Techniques

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 Abstract

Content-Based image acts to get back (CBIR) uses the seeing what is in of an image such as color, form, feeling of a material, and spatial general design to represent and list of words in a book the image. action-bound make observations in CBIR is geared in the direction of the development of methodologies for getting at details, interpreting price listing and giving pointer image knowledge-bases. In addition to their development, efforts are also being made to value the operation of image acts to get back systems. The quality of move is heavily dependent on the good quality of the careful way used to produce point gives directions to be taken and likeness measure for comparison of points. In this paper we offered an algorithm which makes into company the more chances of different other algorithms to get well the having no error and doing a play of acts to get back. The having no error of color histogram based matching can be increased by using Color soundness guide (CCV) for coming one after another polish. The rate of motion of form based acts to get back can be gave greater value to by giving thought to as rough form rather than the certain, errorless form. In addition to this a mix of color and form based acts to get back is also included to get well the having no error of the outcome

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 Keywords

CBIR, Shape, Color Coherence Vector, Centroid

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Creative Commons Attribution 4.0 and The Open Definition

 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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 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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 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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 Keywords

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

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 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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 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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 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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 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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 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