International Journal on Future Revolution in Computer Science & Communication Engineering
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Implementation of Multivariate Authentication Protocol (MAP) for Side Channel Attack Detection
Get PDFCloud Computing offers an extensive variety of resources like computational power, computational storage and applications to clients by means of internet. Cloud Computing is empowering IT administrators to deliver resources to the users quicker in a great flexible way and at a cost effective model without having to restructuring or updating the basic infrastructure. With the expanding number of organizations falling back on utilize resources in the Cloud, there is a need for ensuring the security of the data of the clients using the cloud resources. The major challenged faced by cloud data centers to ensure security to its clients. According to the side channel attack the data privacy of the user is violated by observing the operation of the deduplication in the storage server of cloud, so this attack will easily allow the malicious user to access the data. The major contribution of this paper is to address the serious security issues related to side channel attacks. This paper proposes the design of a Multivariate Authentication Protocol (MAP) protocol against side channel attacks
Supply Chain Management and Big Data Analytics (SCMBDA): Perception to SCM Business
Get PDFThe standards of big data and analytics are being very much buildup with the aid of commercial enterprise executives, media, software program providers and consultant executive. But it is not simply buildup, as some groups are genuinely utilizing big data and analytics in real life experience. Big data and analytics in Supply Chain Management (SCM) has found discovered becoming alluring because of its unpredictability and the extraordinary part. This research proposal highlighting how ?Big Data analytics can be used most productively in managing the supply chain.? They can be utilized to evaluate ?what happened, why it happened, and to develop a plan for change. Based on pre-defined business rules, they can identify where an action is needed, they can help to prepare more accurate forecasts,? and, primarily, they are able to help to determine the best course of motion with WHAT-IF analysis. Materials and Methods used in research proposal describe the promising field of big data analytics in SCM, discusses the benefits, outlines an architectural framework and methodology, describes examples reported in the literature, briefly discusses the research problem. Possible outcome covered in research proposal how the SCM area can be affected by these new propensities and advancements
Analysis of Drop Out and Load Current for on Chip Voltage Regulators
Get PDFLDO (Low Drop-Out) Voltage regulators are commonly used in electronics power supply circuit. DC linear voltage regulator is a LDO regulator that can regulate the output voltage even when the power supply voltage is very near to the output voltage. This paper present a comparison between two of the most admired voltage regulator structures such as feed forward ripple cancellation technique and MOS capacitor compensation technique.The comparison has been carried out considering the output voltage, power consumption, drop-out voltage, load current, quiescent current, line regulation and load regulation. The discussion is supported by practical analysis of both the voltage regulator. The two LDO voltage regulators are taken with power supply voltage, reference voltage, error amplifier, pass transistor. The object of this paper is to compare the all the parameter of the voltage regulator to found best LDO voltage regulator structure. The comparison showed that the voltage regulator circuit with MOS capacitor compensation technique (MCC) is best rather than feed forward ripple cancellation technique (FFRC).All simula-tion and result of LDO voltage regulator is done at tanner tool 14.1
Security Issues in Cloud based e-Learning Part 2(Architectural Aspects)
Get PDFIn this exploratory paper (2nd Part), we revealed Cloud computing Architecture, Public & Hybrid Cloud, PLE et
Feature Extraction Techniques for Marathi Character Classification using Neural Networks Models
Get PDFHand written Marathi Character Recognition is challenges to the researchers due to the complex structure. This paper presents a novel approach for recognition of unconstrained handwritten Marathi characters. The recognition is carried out using multiple feature extraction methods and classification scheme. The initial stages of feature extraction are based upon the pixel value features and the classification of the characters is done according to the structural parameters into 44 classes. The final stage of feature extraction makes use of the zoning features. First Pixel values are used as features and these values are further modified as another set of features. All these features are then applied to neural network for recognition. A separate neural network is built for each type of feature. The average recognition rate is found to be 67.96% , 82.67%,63,46% and 76.46% respectively for feed forward , radial basis , elman and pattern recognition neural networks for handwritten marathi characters
Retrieving Data from Encrypted file by using Cosine Similarity
Get PDFNowadays every user who uses Internet wants to search for anything and everything using Search Engines. This is the need for everyone. To engineer a search engine is a challenging task. Search engines index tens to hundreds of millions of files involving a comparable number of distinct terms. They answer tens of millions of queries every day. Due to rapid advance in technology and need for information security, creating a web search engine today is very different from three years ago. The overall goal of this project is to develop a scalable, high performance search engine which searches the encrypted data without decryption. The main focus is on the algorithmic challenges and encryption while supporting fast searches on it. To develop this project, an applied ranking algorithm to give better results to the user and also used other algorithms to encrypt the data stored. To ease for searching of various information over the data by giving search keywords requires software. The search engine software ensures the end user to get the information by accessing the data specified in the database
Design and Implementation an RFID Customer Shopping Behaviour Mining System
Get PDFShopping behavior data is of great an importance in understanding the effectiveness of marketing and merchandising campaigns. Online clothing stores are capable of the capturing customer shopping behavior by analyzing the click streams and customer shopping carts. Retailers within physical clothing stores, however, still lack effective methods to comprehensively identify shopping behaviors. In this study, we show that backscatter signals of passive RFID tags can be exploited to detect and record how customers browse stores, which garments they pay attention to, and which garments they usually pair up. The intuition is that phase readings of tags attached to items will demonstrate distinct yet stable patterns in a time-series when customers look at, pick out, or turn over desired items. We design Shop Miner, a framework that harnesses these unique spatial-temporal correlations of time-series phase readings to detect comprehensive shopping behaviors. We have implemented a prototype of Shop Miner with a COTS RFID reader and four antennas, and tested its effectiveness in two typical indoor environments. Empirical studies from two-week shopping-like data show that Shop Miner is able to identify customer shopping behaviors with high accuracy and low overhead, and is robust to interference
A Survey of Website Phishing Detection Techniques
Get PDFThis article surveys the literature on website phishing detection. Web Phishing lures the user to interact with the fake website. The main objective of this attack is to steal the sensitive information from the user. The attacker creates similar website that looks like original website. It allows attacker to obtain sensitive information such as username, password, credit card details etc. This paper aims to survey many of the recently proposed website phishing detection techniques. A high-level overview of various types of phishing detection techniques is also presented