Global Journal of Computer Science and Technology (GJCST)
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1830 research outputs found
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Prediction and Estimation of Fault Detection Process in Software Reliability Assessment
Developing high-quality reliability models is one of the key concerns in the domain of software reliability The enhanced software reliability model ought to give superior predictions of upcoming malfunction manners calculate helpful quantities and be extensively relevant Hence an extremely significant purpose of existing software reliability study is to build up broad prediction models for a software supervisor it is imperative to be capable to foretell the upcoming performance of the fault discovery and rectification procedure The forecast is imperative for the allotment of additional testing assets and for the learning of software release troubles No solitary step only is ample to decide the most excellent constraint assessment technique on a specified dataset In reality software supervisors would have a preference to observe steadily minor proportion of the data forecasted as the more the testing procedure runs the extra costly it becomes In this direction this paper key center is to provide high-quality forecasts to evaluation procedures for software testin
Performance Study of Cryptography based Dynamic Multi-Keyword Searchable Security Algorithm in Cloud Using CRSA /B+ Tree
Today, Cloud computing is a buzz word in IT industry. Cloud, a shared pool of computing resources, allows access to needed resources on demand through internet and web applications. Since data is outsourced to third party, user needs to maintain the accountability of their data in cloud. Hence preserving the confidentiality and securing the sensitive data in cloud is a major concern. Many cryptographic techniques have been proposed by researchers to assure the confidentiality of the user2019;s data in cloud. But, the challenging task is to provide the secure search over this preserved data which has been encrypted so as to retrieve the effective data. Hence, we are proposing a system to have a secure search over the encrypted data on the cloud which preserves its confidentiality. In our system, a noble approach has been made using the Commutative-RSA algorithm, a cryptographic technique where the dual encryption takes place thus reducing the overall computation overhead. The search operation over the encrypted data is based on the tree search algorithm which supports multi-keyword search. Based on the relevance score, the more appropriate data is retrieved on the search operation. Using this approach, the information is not leaked when the encrypted data is searched by users and also the queries are handled in an efficient way. Finally, we demonstrate the effectiveness and efficiency of the proposed schemes through extensive experimental evaluation
Content base Image Retrival using Color Histogram and Global Features
In the world we live in today we can safely say that the internet revolution, digital representation and transportation of data had offered efficient solution for information delivery. But these phenomenal developments brought their own concern and problems in area of searching, security, monitoring and use of information by qualified end users. In early days the information was generally obtained and processed in the form of text but nowadays people are aware of the truth that information can be obtained in the form of graphics, which are a more precise and a more inclusive illustration of information. In this paper a new technique is introduced for fast Content based Image Retrieval with the help of colors and global features. Image retrieval on the base of color histogram is a very useful and common technique but in some cases this technique is not reliable. In proposed technique some new things are added with the color histogram to make it more efficient and reliable for Content based image retrieval
The Implementation of DMA Controller on Navigation Baseband SoC
This article discusses the architecture design of DMA controller on high performance GPS receiver based on RTEMS. We achieve the optimal integration of DMA IP and navigation baseband system. We designed the hardware architecture of DMA IP and make full use of hardware performance with the idea of multiplexing. We use register and FIFO buffer to achieve read-write control. And we design the DMA controller with Verilog HDL. Finally we verify the design on Altera Cyclone4 FPGA. The result demonstrates that DMA controller can ease the CPU2019;s burden and shorten the acquisitio
SecureDBaaS Model for Accessing Encrypted Cloud Databases
Cloud computing has recently emerged being a compelling paradigm that pertains to managing and delivering services over the web. The particular prevalent problem connected with cloud is confidentiality, security, as well as reliability etc., in which how the cloud provider assures. To recognize this, a novel architecture is usually introduced that will integrates cloud database services and as well executing concurrent operations on encrypted information. Also a new homomorphic encryption algorithm will likely be incorporated to offer confidentiality as well as concurrent execution of various SQL operations. This will be the first option supporting quite a few stributed clienteles to access encrypted cloud databases. One of main thing is that it eliminates advanced proxies in between cloud user and provider. The performance on the architecture is usually lculated by means of theoretical and practical results which are subjected to TPC-C benchmark standard tools for a number of clients as well as network latencies
Improved Interoperability in Heterogeneous Nodes for MANETs
By using the power aware heterogeneous routing protocol to establish routes between heterogeneous nodes. Protocol used to analyze the nodes residual energy and power cost. The existence of multiple routes between nodes, selecting the node with less power consumption is used to select the appropriate route to maintain interoperability between nodes. The source to destination communication can be done by the intermediate nodes. Multi-interfaced node with low energy could continue to fall on optimal routes and such a node could offer a link between heterogeneous nodes where no other link is possible. Thus such a node could suffer energy shortage and fade out from the network. This approach is to integrate update messages to the proposed messages which allow a node to transmit from source to neighbouring nodes with its residual energy status and enforce the modification of power cost associated with routes
Two-Party Threshold Key Agreement Protocol for MANETs using Pairings
In MANET environment, the nodes are mobile i.e., nodes move in and out dynamically. This causes difficulty in maintaining a central trusted authority say Certification Authority CA or Key Generation Centre KCG. In addition most of cryptographic techniques need a key to be shared between the two communicating entities. So to introduce security in MANET environment, there is a basic need of sharing a key between the two communicating entities without the use of central trusted authority. So we present a decentralized two-party key agreement protocol using pairings and threshold cryptography ideas. Our model is based on Joux2019;s three-party key agreement protocol which does not authenticate the users and hence is vulnerable to man-in-the-middle attack. This model protects from man-in-the-middle attack using threshold cryptography
Extracting Android Applications Data for Anomaly-based Malware Detection
In order to apply any machine learning algorithm or classifier, it is fundamentally important to first and foremost collect relevant features. This is most important in the field of dynamic analysis approach to anomaly malware detection systems. In this approach, the behaviour patterns of applications while in execution are analysed. The behaviour features that Android as a system allows access permissions to depend on the type of device; either rooted or not. Android is based on the Linux kernel at the bottom layer, all layers on top of the kernel run without privileged mode. Thus, if a behaviour feature vector is created from features of Android (Application Programming Interface) API in unrooted mode, then only system information made available by Android can be used. In this paper, a Device Monitoring system for an unrooted device is developed and used to collect Android application data. The application data is used to build feature vectors that describes the Android application behaviour for Anomaly malware detection. This application is able to collect essential information from Android application such as installed applications and services running within the device before or after the Monitoring application was started, the date/time stamp, calls initiated from the device, calls received by the device, sent short message services (SMSs), SMSs received, and the status of the device as at when the event took place. This information is loggedin a comma separated value (.csv) file format and stored on the SDcard of the device. The .csv file is converted toattribute relation file format (.arff); the format acceptable by WEKA machine learning tool. This.arff file of feature vectors is then used as input to the Classifier in the Android malware detection system
Seamless Heterogeneous Handoff Based on SAP
Contemporarily there has been a number of techniques being suggested and used for heterogeneous handoff hitch. Different types of decision making methods are being implemented for handoff impediment. Mobile terminals progressing in neighbourhood will incur a handoff when its link capacity decreases below the threshold level. Various types of Multiple Attribute Decision Making methods have been exploited for handoff decision making. Here we have used a novel Reliable Seamless Handoff such as Simple Analytical Process method which uses Analytical Hierarchy Process for predicting the criterion weights and employed Simple Additive Weighting method for handoff decision making. Alternatives such as GSM, CDMA and EDGE networks are used. Data Rate, Packet Loss, Velocity, Bandwidth, Dwell time and Jitter are the parameters applied
Simulation for Optimizing Repository of COTS
Sufficient warehousing management is critical for procurement, storage and delivery of software component. Therefore it is important to find and implement the optimized warehousing system. In Component based software Engineering, it is considered a two-level multi product warehousing control system which controls the requirement of user and fast development of system in the age of hard competition of days. For delivering the software, it is assumed that the client and the developer want their product by minimizing the total cost in mind by reducing the cost of reorder, holding and losses of customer from unavailability of the software in time. The demand of customer for the particular service or component as well as the time of delivering the software component from the vendor are random values with known probability of distribution. Multi location warehousing models are one of the most widely faced real time problem in mathematical warehousing theory, but the analytically models suffer from various restrictive assumptions and solutions