Application Of Confidence Range Algorithm In Recognizing User Behavior Through EPSB in Cloud Computing

Within the security scope, Authentication is considered as a core model to control accessing any system. Password is one of the most significant mechanisms which diagnose the authorized user from others. However, it is facing many problems such as spoofing and man in the middle attack(MitMA). When unauthorized user has got the correct password. Then, this user would be able to access into the data and change previous password which causes significant loss in efforts and cost. Similarly, the hacker "who don't have a password" is also trying to penetrate the system through predicted a set of words. In fact, both of authorized and hacker users work to input a wrong password, but authorized user may have only one or two wrong characters while the hacker inputs a whole wrong password. The aim of this paper, established an algorithm under the name of "Confidence Range ". The main tasks of this algorithm are monitoring all the activities which associated with the password on time, error, and style to the authorized user to recognize any suspicious activity. For that reason, a unique EPSB,” Electronic Personal Synthesis Behavior”, has been generated to the authorized user by the application of confidence range algorithm

A New Cryptographic Encryption Approach for Cloud Environment

Cloud security and trust management are an important issue in the cloud environment. Cloud computing is the result of the evolution of virtualization, service-oriented design, and the widespread adoption of involuntary and utility computing. Today, cloud computing is the fastest growing technical term and captures a global service-oriented market, so cloud computing service providers and cloud computing consumers need to maintain trust between them. In cloud security, if you discuss the security procedures of traditional IT information systems, designing security into cloud software during the software development life cycle can greatly reduce the cloud attack surface. With cloud computing providing Security as a Service (SAAS), security software is an important issue. From a cloud customer perspective, the use of security services in the cloud reduces the need for security software development. The requirements for security software development are transferred to the cloud provider. This work proposes a new cloud environment security and trust management algorithm, which uses the cryptosystem method to improve the single alphabet based on the concept of multi-letter cipher. Encryption and decryption is applied to plain text to encrypt text and cipher text for plain text conversion. In this work, the algorithm's power consumption, encryption and decryption throughput, and security analysis are also presented

Analysing Trust Issues in Cloud Identity Environments

Trust acts as a facilitator for decision making in environments, where decisions are subject to risk and uncertainty. Security is one of the factors contributing to the trust model that is a requirement for service users. In this paper we ask, What can be done to improve end user trust in choosing a cloud identity provider? Security and privacy are central issues in a cloud identity environment and it is the end user who determines the amount of trust they have in any identity system. This paper is an in-depth literature survey that evaluates identity service delivery in a cloud environment from the perspective of the service user

A trust computing mechanism for cloud computing

Cloud computing has been considered as the 5th utility as computing resources including computing power, storage, development platform and applications will be available as services and consumers will pay only for what consumed.This is in contrast to the current practice of outright purchase or leasing of computing resources. When the cloud computing becomes popular, there will be multiple vendor offering different services at different Quality of Services and at different prices.The customers will need a scheme to select the right service provider based on their requirements.A trust management system will match the service providers and the customers based on the requirements and offerings.In this paper, the authors propose a trust formulation and evolution mechanism that can be used to measure the performance of cloud systems. The proposed mechanism formulates trust scores for different service level requirements, hence is suitable for managing multiple service levels against single trust score. Also the proposed mechanism is an adaptive one that takes the dynamics of performance variation along with cloud attributes such as number of virtual servers into computations. Finally the proposed mechanism has been tested under a simulated environment and the results have been presented

An adaptive trust based service quality monitoring mechanism for cloud computing

Cloud computing is the newest paradigm in distributed computing that delivers computing resources over the Internet as services. Due to the attractiveness of cloud computing, the market is currently flooded with many service providers. This has necessitated the customers to identify the right one meeting their requirements in terms of service quality. The existing monitoring of service quality has been limited only to quantification in cloud computing. On the other hand, the continuous improvement and distribution of service quality scores have been implemented in other distributed computing paradigms but not specifically for cloud computing. This research investigates the methods and proposes mechanisms for quantifying and ranking the service quality of service providers. The solution proposed in this thesis consists of three mechanisms, namely service quality modeling mechanism, adaptive trust computing mechanism and trust distribution mechanism for cloud computing. The Design Research Methodology (DRM) has been modified by adding phases, means and methods, and probable outcomes. This modified DRM is used throughout this study. The mechanisms were developed and tested gradually until the expected outcome has been achieved. A comprehensive set of experiments were carried out in a simulated environment to validate their effectiveness. The evaluation has been carried out by comparing their performance against the combined trust model and QoS trust model for cloud computing along with the adapted fuzzy theory based trust computing mechanism and super-agent based trust distribution mechanism, which were developed for other distributed systems. The results show that the mechanisms are faster and more stable than the existing solutions in terms of reaching the final trust scores on all three parameters tested. The results presented in this thesis are significant in terms of making cloud computing acceptable to users in verifying the performance of the service providers before making the selection

Survey on Security Issues in Cloud Computing and Associated Mitigation Techniques

Cloud Computing holds the potential to eliminate the requirements for setting up of high-cost computing infrastructure for IT-based solutions and services that the industry uses. It promises to provide a flexible IT architecture, accessible through internet for lightweight portable devices. This would allow multi-fold increase in the capacity or capabilities of the existing and new software. In a cloud computing environment, the entire data reside over a set of networked resources, enabling the data to be accessed through virtual machines. Since these data-centers may lie in any corner of the world beyond the reach and control of users, there are multifarious security and privacy challenges that need to be understood and taken care of. Also, one can never deny the possibility of a server breakdown that has been witnessed, rather quite often in the recent times. There are various issues that need to be dealt with respect to security and privacy in a cloud computing scenario. This extensive survey paper aims to elaborate and analyze the numerous unresolved issues threatening the cloud computing adoption and diffusion affecting the various stake-holders linked to it.Comment: 20 pages, 2 Figures, 1 Table. arXiv admin note: substantial text overlap with arXiv:1109.538

Trust management in cloud computing: A critical review

Cloud computing has been attracting the attention of several researchers both in the academia and the industry as it provides many opportunities for organizations by offering a range of computing services.For cloud computing to become widely adopted by both the enterprises and individuals, several issues have to be solved.A key issue that needs special attention is security of clouds, and trust management is an important component of cloud security.In this paper, the authors look at what trust is and how trust has been applied in distributed computing. Trust models proposed for various distributed system has then been summarized.The trust management systems proposed for cloud computing have been investigated with special emphasis on their capability, applicability in practical heterogonous cloud environment and implementabilty. Finally, the proposed models/systems have been compared with each other based on a selected set of cloud computing parameters in a table

Performance Evaluation of three Data Access Control Schemes for Cloud Computing

Cloud services are flourishing recently, both among computer users and business enterprises. They deliver remote, on-demand, convenient services for data storage, access and processing. While embracing the benefits brought by various cloud services, the consumers are faced with data disclosure, privacy leaks and malicious attacks. Therefore, it is important to use strong access control policies to maintain the security and confidentiality of the data stored in the cloud. This thesis studies the performance of three existing security schemes proposed for cloud data access control on the basis of trust and reputation. We implement the three schemes and conduct computation complexity analysis, security analysis and performance evaluation. This thesis introduces the implementation of a number of cryptographic algorithms applied in the above data access control schemes, including Proxy Re-encryption (PRE) and Ciphertext-Policy Attribute Based Encryption (CP-ABE), reputation generation and secure data transmission over Secure Socket Layer (SSL). We summarize the evaluation results and compare the performances in the aspects of computation and communication costs, flexibility, scalability and feasibility of practical usage. Pros and cons, as well as suitable application scenarios of the three schemes are further discussed

Trust enhanced security in SaaS cloud computing

Trust problem in Software as a Service Cloud Computing is a broad range of a Data Owner’s concerns about the data in the Cloud. The Data Owner’s concerns about the data arise from the way the data is handled in locations and machines that are unknown to the Data Owner