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In secure web application development, the role of web services will not continue if it is not trustworthy. Retaining customers with applications is one of the major challenges if the services are not reliable and trustworthy. This article proposes a trust evaluation and decision model where the authors have defined indirect attribute, trust, calculated based on available direct attributes in quality web service (QWS) data sets. After getting training of such evaluation and decision strategies, developers and customers, both will use the knowledge and improve the QoS. This research provides web-based learning about web service quality which will be utilized for prediction, recommendation and the selection of trusted web services in the pool of web services available globally. In this research, the authors include designs to make decisions about the trustworthy web services based on classification, correlation, and curve fitting to improve trust in web service prediction. In order to empower the web services life cycle, they have developed a quality assessment model to incorporate a security and performance policy.

In today’s internet era, the increased rate of using cloud services has been one of the most burning issue. Even though the various server available with high encryptesd cloud services as it is almost used by popular platform such as Yahoo, Gmail, Microsoft Outlook Express. However, Due to distributed and centralised data repository of information in the cloud services are more lean for attackers. And they are more vulnerabke to attack if cloud based system is not perfectly configured. User perosonal data and shared information is not secured on centralised locations which results in lack of security mecanism.. If an attack targeting a server is successful, information for all users on that server may be compromised. The flow of this research paper is to be introduced with a cloud based communication paradigm which also referred to enhanced cloudsim architecture at different layers with the scope of providing end to end security architecture. We have performed simulation and include results in support of end to end security with various protocol analysis for communication in between cloud based web services. Here we analyse security in the client and cloud server as FTP, HTTP for Remote server uploading and downloading time response and size specifications.

Due to increase in the Service provider and related companies, Cloud plays vital role in service industries by providing cloud based web services, so there is an emerging need to wisely choose the cloud service providers. The classified variety of administration services a cloud offers makes it crucial for clients to assess the administration dimensions of various cloud suppliers in such a way with the goal that required quality, unwavering quality or security of an application can be guaranteed. This paper deal with the issues and show the comparison of AWS and IBM cloud. Both Platforms are tested in comparable situations using their respective instances. Performance is precised by the compilation based on standard program through Phoronix Test Suite 3.

Security testing of a web service is the most integral part of its existence in Web service life cycle monitoring. Through testing, this system can monitor the possibility of attacks and redesign the services using the considerations provided by monitoring system. There is a never ending need to produce cyber safe web services which can be trusted. Penetration Testing is a professional testing where the test engineer is responsible for auditing the web service for its ability to withstand security attacks. The present work provides a monitoring system which includes penetration testing for vulnerability/malware detection. We introduced the survey done for vulnerabilities found in WSLC phases, include sample testing methodologies and propose the monitoring framework to identify vulnerabilities in requests for accessing phases of web services launched by worlds wide users. The system architecture is a cost-effective solution to provide security from malware. This system introduces a perimeter defence strategy.

Today, number of research works are under process using computing resources delivered as a service over the network. This paper focuses in the field of cloud computing and proposes the model for service clustering of cab services using k-means clustering. This paper proposes a highly competent and efficient methodology. Our research includes the web service development using AWS, real time data collection and its analysis based on clustering. The web services are designed to provide approximate time and distance as per client inputs and then produces the output in terms of cost of different cab services provided by the cab service providers. Through our clustering approach, we are proposing the better approach for selecting the best service using data analysis of web service quality dataset over AWS based developed model.

Today as we can see the population of the country is increasing at a very fast rate, despite our various efforts. The hospitals and medical services available for the rising population is very low. There are still many areas in our country which do not have proper medical help available. But, during these past years, there has been a huge rise in the data service providers, which has provided a huge support for Internet of Things. Hence from the support of the IoT technology, remote and rural areas can also be provided with proper health services. In most of the researches which are done on the topic, there are many loopholes like, no machine learning is implemented, sensors are not secured over the network, etc. Some of these issues have been addressed in this paper with results output of the system. Further, the paper proposes a model based on the integration of machine learning with the current system to predict future diseases in the patient or that remote area.

Now a days, there are number of cab services providers which are confusing the client with number of similar kind of service options. That's why there is a need of selecting a quality service from a set of given services. It motivates us to design an approach which is efficient in providing the effective service after the data analysis of real time data developed and collected through Amazon Web Services. This paper aims at analyzing a mathematical model that is used to predict the most efficient output of a dataset of a model using Artificial Neural Network. The proposed mathematical model is made and applied on a database of real time cab services developed using Amazon Web Services to predict the effective web service. We have analyzed the real time dataset using Rapidminer. The Analysis is done on the bases of the threshold and root mean square error values obtained. We are proposing the methodology which is highly competent and accurate in obtaining the results.

Healthcare Automation is an area, which involves various services, such as the housekeeping & patient management system. There is a incredible quantity of consideration and focusing to improve health. Big healthcare survey organizations illustrate that sickness and death rate, to a great extent rely on accessing of suitable healthcare systems, which is not accessible to an enormous preponderance of the worldwide inhabitants. This research paper introduce automating healthcare functions such as monitoring, accessing of information of patients by doctors using effective grid search technology, interactive user interface assistance for the doctors and junior doctors for any queries & cache management technology based web application for efficient performance. We elucidate our thoughts on how technology can aid in this vital and crucial life sustaining goings-on. We provide insight hooked on our effort on automating medical sector by means of text mining techniques, Natural Language Processing, Elastic Search, PHP-MVC, Web Services and Cache and include some initial results.

is an explosion in the volume of data in the world. The amount of data is increasing by leaps and bounds. The sources are individuals, social media, organizations, etc. The data may be structured, semi-structured or unstructured. Gaining knowledge from this data and using it for competitive advantage is the primary focus of all the organizations. In the last few years Big Data has found its way in almost every field, from government to private sectors, industry to academia. The major challenges associated with Big Data are data organization, modeling, data analysis and retrieval. Hadoop is a widely used software framework used for the large scale management and analysis of data. The main components of Hadoop: HDFS and MapReduce, enable the distributed storage and processing of data over a large number of commodity servers. This paper provides an overview of MapReduce and its capabilities and discusses the related issues.

Regression testing, testing is done on the changes made in existing software to check whether the existing software is working properly or not after the changes has been done. Therefore, retesting is performed to detect the new faults found. This type of testing is performed again and again after the changes have been made in the pre-existing software. Various methods are used for test case reduction and optimization for a web service. Regression testing creates a large number of test suites which consumes a lot of time in testing and many other problems are faced. Therefore, some technique or method should be used so that number of test cases are reduced and also test cases can be prioritized keeping in mind the time and budget constraints. The test case reduction and prioritization need to be achieved depending on various parameters such as branch coverage and also on basis of fault coverage etc. Therefore, this paper discusses about the analysis of the code of a web service and the technique used to analyze a web service based on branch or code coverage and also the fault detection for test case reduction and prioritization is bacteriologic algorithm (BA). The test cases generated and also other requirements are mapped with the branch coverage and fault coverage of the code of the web service.

Today's Classical cryptographic algorithms will fail against the quantum cryptosystems. In this paper, Security protocols are reviewed with analysis of intercept-resend, faked-state and light pulse attacks and eavesdropper strategies to gain the information transferred in between communication channel. The quantum cryptography is providing absolute security against the above stated attacking environment. That is the reason for using the concepts of quantum mechanics with cryptographic algorithms to achieve the utmost security. This paper is focusing on review to the key distribution techniques used for protecting the communication. We found that the communication is successfulif we use privacy amplification, authentication, and Bell's inequalities.

The present work provides a system and method for malware detection wherein the system stores malicious files and replicates only safe files to the main server by the use of containerized scanners. This architecture is a cost-effective solution to provide security from malware. This system introduces a perimeter defense strategy. This works outside of main servers to maintain the confidentiality, integrity, and authenticity of already in place servers.

WS Recommendation is challenging job due to its dynamic behavior in QoS. This document explains the various web services that are provided on the internet, how they are implemented, the protocols used in order to invoke these ws, the architecture & lifecycle of ws. The document also elucidates the various Quality analysis parameters and states the quality metrics that are available in order to evaluate the QoS. The evaluation of QoS is very important for the recommendation of web services. In this document, grading or ranking of QoS is done in order to recommend web services. The formulas for computation of rank of QoS has been analyzed and deduced in this documentation. The order in which QoS is ranked, WS is recommended to the user or clients accordingly. The formulas computed in this document are more efficient and clear in terms of factors included.

Data Mining is a computational process of discovering a certain pattern in huge datasets. It is an essential process where technical processes are applied to get patterns. Alzheimer's disease should be detected very early so that preventive measures can be taken. Alzheimer's disease is a chronic disorder that worsens over time. AD is a disease which progresses slowly and is characterized by loss of neurons. The symptoms of dementia keep on worsening over a number of years. It leads to loss of memory which disrupts the life of that person. Reasoning skills and thinking ability is also affected. The most spread disease in Western Europe is dementia and it is least spread in Sub-Saharan Africa. On an average rate, two in three people with Alzheimer are women.

The focus of this research effort is to build Web Services based on open standards and monitor their requestresponse exchanges with a ASP.NET based application that stores performance information of the calls made to the web services, built in Microsoft Visual Studio for the purpose of generating performance data in the form of QoS quantifying quantities of Successes (similar to throughput), Failures (Total attemptssuccesses*) , Datasize or length and the Time taken (Response Time) measured from the service calls of web services for usage in research efforts for the selection and/or recommendation of these services to Web Service consumers. An approach for web service selection has been suggested as well as implemented using data mining techniques included in the selection algorithm.

The concept of surveillance drones arises to aid the problem of tracking humans quickly without risking more human lives in desperate times like disasters or terrorist attacks. The design consists of a Quad-Copter with a Wi-Vi sensor, infrared camera and GPS to quickly track humans from distance on areas which are not quickly reachable from land and/or are not safe for a human to reach unknowingly. The key element here is the detection of humans below rubbles in case of disaster and terrorists hidden behind walls.

Due to the increasing complexity of web systems, security testing has become indispensable and critical activity of web application development life cycle. Security testing aims to maintain the confidentiality of the data, to check against any information leakage and to maintain the functionality as intended. It checks whether the security requirements are fulfilled by the web applications when they are subjected to malicious input data. Due to the rising explosion in the security vulnerabilities, there occurs a need to understand its unique challenges and issues which will eventually serve as a useful input for the security testing tool developers and test managers for their relative projects.

Web Services Computing is a growing field with a vast potential for applications of business process management by the implementation of what is known as Service Oriented Architecture (SOA). Business activities can now be independently harvested and grown and later extracted from the “toolkit” of services for composition into large scale applications. This powerful architectural style has translated business logic into useful Web Services or Web APIs across the World Wide Web. This paper delves into the reason for continuously finding and implementing better Quality of Service parameters to define Quality Standards for Web Services. Apart from revisiting research in QoS parameters for Web Services, it is attempted to provide a better understanding of current techniques in Web Service selection, prediction and ranking. A research effort towards a model for Web Service Recommendation is proposed and critically analysed considering the possibility of its implementation in the future.

In current scenario cloud computing is most widely increasing platform for task execution. Lot of research is going on to cut down the cost and execution time. In this paper, we propose an efficient algorithm to have an effective and fast execution of task assigned by the user. We proposed an effective communication framework between broker and virtual machine for assigning the task and fetching the results in optimum time and cost using Broker Virtual Machine Communication Framework (BVCF). We implement it over cloudsim under VM scheduling policies by modification based on Virtual Machine Cost. Scheduling over Virtual Machine as well as over Cloudlets and Retransmission of Cloudlets are the basic building blocks of the proposed work on which the whole architecture is dependent. Execution of cloudlets is being analyzed over Round Robin and FCFS scheduling policy., Comment: 10 pages, 5 figures, International Journal on Cloud Computing: Services and Architecture(IJCCSA),Vol.2, No.3, June 2012

With invention of new tools and technologies, the attackers are designing new methods to evade present security models. One of such security models is Intrusion detections. Intrusion detection systems work on signature based analysis and anomaly based detection, which makes it vulnerable for new evasion techniques. This work describes the mitigation of evasion techniques by implementation of better PCRE based rules approach.IN this paper we are designing improved PCRE based rules to prevent evasion techniques on cloud systems.

In the era of data explosion, one of the crowd pleasing words is Big Data. For large scale data handling and processing, Hadoop is in the mainstream. The Hadoop Distributed File Storage deals with the issue of data availability by replicating the data over multiple servers. When the data has to be written over multiple remote locations, the write performance is a major consideration. The objective of this paper is to evaluate the HDFS write performance using both the replication schemes, i.e., the default Pipelined Replication and Parallel Replication. The TestDFSIO Benchmark is used for benchmarking the Hadoop cluster with both replication schemes. It is observed that the write throughput of the Hadoop cluster using the parallel replication is 8% more than that of pipeline replication. It is also observed that the performance of RDMA based HDFS is far better than HDFS RPC.

T Cloud computing is facing several issues regarding security. To provide security major companies are using Advance Encryption Standard (AES) encryption technology. AES is using mainly 3 types of encryption keys: 128bit key encryption, 192bit key encryption and 256bit key encryption which are using 10, 12 and 14 iterations respectively. All these are using the plain text block of size 128bit. In proposed architecture, the cloud user will be facilitated with all the 3 encryption techniques 128, 192 and 256bits to choose and based on the size of the data the encryption process can be done. By that they can make easy to store their data by using this three encryption techniques.

Cloud computing has recently appear as a promising hosting platform that performs an smart usage of a collection of services, applications, information and infrastructure composed of pools of computer resources for storage with the ability to provide users dynamically scalable, shared resources over the Internet and avoid large forthright fixed costs. However along with these advantages, that is storing of data on the clouds including invaluable information which attracts highly skilled blackhat-hackers thus creating a need for the security to be considered for improving client's trust over the information and services in cloud computing as one of the critical issues. In this survey paper, we have reviewed trust and security relation and proposed an Distributed Trust Model as per actors and their role which help us for managing trust over the services provided by any cloud. In our study, we found that as in distributed approach is implemented in our mechanism; it brings better quality of service and client response.

Number of users, now a days tries to access the data in different type of online services like shopping, gaming, learning etc., which tends to increase the computing as well as storing/fetching load if we use single server. Increase of load on a server results in reduction of throughput and it leads to a strong need of developing and maintaining an efficient system with an appropriate load balancing algorithm that will be used to retrieve the important information with a reasonable response time. The main objective of our study is to propose an new approach for load balancing which can balance the incoming requests from global users which reside in different geographical locations to retrieve the information from a distributed data sources using effective scheduling and virtualization techniques. We are utilizing the combination of Batch Mode Heuristic Priority and Round Robin Scheduling for reducing the load on server. This paper provide good results as we compare Batch mode and Online Mode priority, and conclude with suggestion to use Batch Mode in place of Online mode for better load balancing.

Cloud Network is very broad and unreliable due to its property of elasticity in number of VM and physical nodes in its Virtual Cloud Network (VCN). Nodes can join and withdraw the network at any time. Elasticity is the advantage of cloud computing but it comes with lots of security issues in routing and data forwarding in between packets. VCN working is very much similar to Mobile Ad-Hoc Networks (MANETs) which rely on the cooperation of all participating nodes to provide the fundamental operations. Due to non centralized security in VCN and MANET, lots of security attacks and threats are all in the way to exploit security of data routing. Malicious node may intervene and can exploit the data during wireless communication. Different protocols have different impact of such attacks of malicious nodes. In this paper Comparative analysis of Black Hole attack for both Proactive and Reactive protocol is taken into account. The impact of Black Hole attack on the performance of VCN as well as MANET is evaluated and finding out which protocol is more vulnerable to the attack and how much is the impact of the attack on both protocols.

Optimal resource utilization for executing tasks within the cloud is one of the biggest challenges. In executing the task over a cloud, the resource provisioner is responsible for providing the resources to create virtual machines. To utilize the resources optimally, the resource provisioner has to take care of the process of allocating resources to Virtual Machine Manager (VMM). In this paper, an efficient way to utilize the resources, within the cloud, to create virtual machines has been proposed considering optimum cost based on performance factor. This performance factor depends upon the overall cost of the resource, communication channel cost, reliability and popularity factor. We have proposed a framework for communication between resource owner and cloud using Resource Cloud Communication Paradigm (RCCP). We extend the CloudSim[2] adding provisioner policies and Efficient Resource Allocation (ERA) algorithm in VMM allocation policy as a decision support for resource provisioner., 8 pages, 4 Figures, International Journal on Cloud Computing: Services and Architecture(IJCCSA),Vol.2, No.3, June 2012