Security Issues and Solutions in Cloud Computing

Infrastructure as a Service (IaaS) provides logical separation between data, network, applications and machines from the physical constrains of real machines. IaaS is one of the basis of cloud virtualization. Recently, security issues are also gradually emerging with virtualization of cloud computing. Different security aspects of cloud virtualization will be explored in this research paper, security recognizing potential threats or attacks that exploit these vulnerabilities, and what security measures are used to alleviate such threats. In addition, a discussion of general security requirements and the existing security schemes is also provided. As shown in this paper, different components of virtualization environment are targets to various attacks that in turn leads to security issues compromising the whole cloud infrastructure. In this paper an overview of various cloud security aspects is also provided. Different attack scenarios of virtualization environments and security solutions to cater these attacks have been discussed in the paper. We then proceed to discuss API security concerns, data security, hijacking of user account and other security concerns. The aforementioned discussions can be used in the future to propose assessment criteria, which could be useful in analyzing the efficiency of security solutions of virtualization environment in the face of various virtual environment attacks.

Cloud computing is evolving web based technology. Which provide various service to physical IT infrastructure which is managed and hosted by third party. Features due to which cloud find its application in E-learning, cloud based ERP and E-governance are flexibility, availability, scalability, efficiency and reliability. As large number of computing technology is involved in cloud computing it is an object of security issues. In this research, we have discussed about basics of cloud computing, features, models, application, security issue, basics of digital forensics and cloud forensic as well as the challenges faced during the cloud investigation. Keywords :Cloud computing, E-governance, cloud ERP, E-learning, Forensic, Cloud Forensics

With the rapid development of national economy, our demand for power resources has also increased rapidly. The traditional power grid can not be achieved operational status of equipment for effective monitoring and control, we will not be able to ensure the quality and quality of electricity service. Cloudbased build smart grid information platform enables gathering the parameter of grid operation state, greatly increasing the economic efficiency of power enterprises. Firstly, cloud computing and smart grid briefly described, and then pointed out that cloud computing applications in the smart grid information platform, and specialized of cloud-based smart grid information platform, in order for the power grid enterprises to enhance their level of service and provide effective reference. KEYWORD: cloud computing; smart power grids; information platform; Application 4th International Conference on Mechanical Materials and Manufacturing Engineering (MMME 2016) © 2016. The authors Published by Atlantis Press 202 3 THE MAIN PROBLEM IS STILL THE SMART GRID INFORMATION PLATFORM FACING The transition to a cloud computing data center. Our data center because of the different regions and the degree of information presents different characteristics, some data centers already have a basic cloud computing capabilities, but most data centers still remain in the initial level, to ensure the normal operation of the existing data center power under the premise, gradual transition to cloud computing data center in order to meet future requirements of the development of smart grid. Restricting data transmission problem. State Grid Corporation between provincial branches and there are a lot of data needs to be transmitted, will bring massive data transmission efficiency decreases, taking into account the load balancing device between the cloud node, thus building a wide area network channels to resolve data transmission problem. Security of data transmission. Data Center for Cloud Computing power companies to build internal private cloud, capable of self-maintenance and management, system wide area network data transmission services, according to the third security zone defined security partition, and install proprietary equipment production area and external public network isolation . 4 CLOUD COMPUTING APPLICATIONS IN THE SMART GRID INFORMATION POLICY PLATFORM Integrate and optimize the management of heterogeneous resources. Among the smart grid systems, data resources, information systems between various platforms and mutually dispersed, severe heterogeneity, thus leading to the integration of the quality of information sharing to increase difficulty, unable to effectively improve network management efficiency for the power distribution system electrical work quality management and marketing operations system maintenance upgrade will not be able to effectively meet demand (Jie Yang, 2014). Cloud computing technology enables the power system to effectively integrate the various business data and computing resources on the basis of information for business collaboration platform built on effective, able to satisfy the huge demand for smart grid information resource sharing. Cloud computing network virtualization and application virtualization technology, the server virtualization technology and other resources to achieve each service abstraction, and then realize the difference between the system and the software effectively eliminated by the appropriate method to achieve the effective integration of information resources, and then to optimize the management, greatly improving the efficiency of heterogeneous resources management applications. Distributed storage and management of large volume of data. After application of smart grid information platform construction, customer service requests varied, huge data volume information brought it to the storage and management of data provides a great challenge. Cloud computing technology in general face amount of data each smart grid system and unit collected using forms distributed storage of data to achieve the effective storage, greatly to ensure the security and reliability of data storage. GFS effective use of technology with each node, the master server is responsible for the effective management of the whole file system, the file system and complete the work of the metadata stored in the data block is the main server for data storage block sliced, and by saving three or more redundant backup storage. At the same time, client access and complete access to the main block server information. Fast Power System Parallel Computation and Treatment. Smart grids and information platform for the large volume of data to provide stable operation of the power grid data base, but more critical is the analysis and design of each system operating data, planning and decision-making, and even failures and transient stability, state estimation and intelligent a variety of computing and content analysis and decision-making process, its huge computing needs, general computing system can not reach its goal (Wang, Mengxue, 2015). Cloud computing technology through parallel computing technology has greatly enhanced parallel processing capability of the power system, which provides parallel programming model makes more simple and efficient parallel algorithms. MapReduce as Google made an important parallel programming model, and its role in large data sets in parallel computing plays a very prominent. Parallel processing job results by the client to achieve effective user submitted, via decomposition automated master role, the corresponding task scheduling to working nodes and nodes work completed by the specific calculations and perform the appropriate task. 5 SMART GRID INFORMATION PLATFORM CLOUD COMPUTING ANALYSIS Cloud Computing Smart Grid Information Platform Architecture. Smart grid technology information platform architecture cloud computing include the following several levels and aspects (Yan Cui, 2015): First, that the platform infrastructure layer is the integration of the various hardware resources and related management capabilities of virtualized using virtual technology to achieve the corresponding hardware devices such as computers and network storage devices abstraction, and then complete the automation and optimization of resource data and load management; secondly, the main platform for the integration of the various layers of software

Cloud computing and big data: Technologies and applications

In Healthcare big data, data is originated from various heterogeneous sources. Numerous novel base particular healthcare applications offered to handling source of data from electronic health record (EHR) to medical images. Imaging, Electronic Health Report, technology in light of sensor and numerous different procedures created an immense measure of Healthcare data. Cloud computing development was an excellent paradigm to substantiate big data which incited find of imperceptible examples. Cloud computing is a developing new registering design intended to answer different contending administrations on the Web. Fog Computing is a design style in which arrange segments amongst devices and the cloud execute application-particular rationale. We in this paper investigate, characterize, and talk about various application of cloud and fog computing. We talk about the impact of cloud computing and fog computing on healthcare big data. Cloud base framework for Homediagnosis Service, Fog computing architecture and the justification of moving from cloud to Fog presented comprehensively in this paper.

Virtual Machines (VMs) have garnered the attention of businesses in cloud computing as they eliminate the requirements for setting up high-cost computing infrastructures for IT-based services. VMs work by virtualizing entire systems, thereby allowing several virtual systems to run on a single hardware unit. VMs, however, are not infallible. This paper aims to explore the potential scenarios where attacks may be used through virtualization in cloud computing and provide a better understanding of how crucial security is for cloud computing.

The development of cloud computing services is speeding up the rate in which the organizations outsource their computational services or sell their idle computational resources. Even though migrating to the cloud remains a tempting trend from a financial perspective, there are several other aspects that must be taken into account by companies before they decide to do so. One of the most important aspect refers to security: while some cloud computing security issues are inherited from the solutions adopted to create such services, many new security questions that are particular to these solutions also arise, including those related to how the services are organized and which kind of service/data can be placed in the cloud. Aiming to give a better understanding of this complex scenario, in this article we identify and classify the main security concerns and solutions in cloud computing, and propose a taxonomy of security in cloud computing, giving an overview of the current status of security in this emerging technology.

Today’s businesses increasingly rely on cloud computing, which brings both great opportunities and challenges. One of the critical challenges is resiliency: disruptions due to failures (either accidental or because of disasters or attacks) may entail significant revenue losses (e.g., US$ 25.5 billion in 2010 for North America). Such failures may originate at any of the major components in a cloud architecture (and propagate to others): 1) the servers hosting the application; 2) the network interconnecting them (on different scales, inside a data center, up to wide-area connections); or 3) the application itself. We comprehensively survey a large body of work focusing on resilience of cloud computing, in each (or a combination) of the server, network, and application components. First, we present the cloud computing architecture and its key concepts. We highlight both the infrastructure (servers, network) and application components. A key concept is virtualization of infrastructure (i.e., partitioning into logically separate units), and thus we detail the components in both physical and virtual layers. Before moving to the detailed resilience aspects, we provide a qualitative overview of the types of failures that may occur (from the perspective of the layered cloud architecture), and their consequences. The second major part of the paper introduces and categorizes a large number of techniques for cloud computing infrastructure resiliency. This ranges from designing and operating the facilities, servers, networks, to their integration and virtualization (e.g., also including resilience of the middleware infrastructure). The third part focuses on resilience in application design and development. We study how applications are designed, installed, and replicated to survive multiple physical failure scenarios as well as disaster failures.

Cloud computing is a combination of computer technology and internet-based development. Cloud computing uses the term "cloud", or cloud, to describe the internet, which is often depicted on computer network diagrams. Cloud computing capacity is an information technology service that can be accessed via the internet without knowing the infrastructure behind it. This opens up the possibility of accessing and using technology more efficiently and flexibly. The development of information technology, especially cloud computing, has had a significant impact in various fields, including education. Cloud computing changes the way information technology is distributed and accessed, providing opportunities for educational institutions to access data and educational resources more efficiently and flexibly. It also helps educational institutions to focus more on core educational processes without having to manage technology infrastructure directly. Teaching about cloud computing is becoming increasingly important. Because through an introduction to the basic concepts, types, benefits and practical applications of cloud computing, students can understand the importance of this technology in the modern world. Thus, teaching and training measures such as those described in this study are expected to help increase the understanding and application of cloud computing among students, preparing them for the challenges and opportunities in the ever-evolving digital era.

Cloud computing has different meaning to different people, the privacy and security issues also differ between a consumer using a public cloud application, a medium-sized Company using a customized Design of business on a cloud platform, and Some Companies are using Platform on Public level which are Public to Public Network The security requirements in cloud computing environment is to find the Security threats in the Structure of clouds To find the security solutions, and finding basis so that Pre Security Step Should be taken in concerned with security future model. In this paper is to build a trusted computing environment for cloud computing system by Combining the trusted computing platform into cloud computing system Which is free from attacks and threats and system is designed with a model system in which cloud computing system is combined with trusted computing platform and trusted platform models. Keywords: cloud computing, data breaches, Api Attack Deniel Attack, Account high Jacking, Deniel of Services

Cloud computing is the emerging way of computing that is being used by wide range of users. At present 80 % of workload is on cloud. There are many safety risks in cloud computing, “Cloud Security Alliance” (CSA) listed top 7 security threats as Maltreat and Obnoxious utilization of cloud, Uncertain API, Vicious Infiltrators, Distributed mechanism challenges, Information drop, Unidentified Risk Report and Account, Service and Traffic Hijacking. An IT company spends 42 percent of its funds for the security of cloud and 80 percent of the funds will be bounded to attain the solution to security issues. Researchers have proposed no. of solutions to cloud security. Proposed solutions fall under three primary categories, Cryptographic, data storage and data semantics. In this paper we have reviewed the concerns in cloud computing with some of the subsequent proposed models to tackle the security issues in cloud computing.

Execution of workflow application in cloud computing is widely applied, it is to apply heterogeneous resource in cloud for meeting the demand for large computational requirements. To maximize the efficiency of cloud computing, we have to effectively solve resources arrangement problem of workflow application in cloud computing, namely efficient task scheduling is needed. Cloud task scheduling problem is an NP-hard problem; therefore, a modified particle swarm optimization (PSO) is used to solve the task scheduling problem in the cloud, the grid task scheduling problems including how to distribute tasks to cloud resource and how to place a priority of tasks. In this study, two types of PSO are applied to solve these two issues, discrete particle swarm optimization is used to solve problem of distribution tasks in the cloud and a modified conventional PSO, named global topology controlling PSO (GTCPSO), is used in task priority assignments. In order to increase PSO searching efficiency, curve controlling is used to adjust the usage of global topology communication between particles so as to control search behavior of particle swarm. Thus, the swarm can perform global search at the initial stage, and then does fully local search at the last stage. The experiment results indicate that the curve controlling of topology communication between particles based on a designed global topology rate can efficiently solve the task scheduling problem and enhance performance of cloud computing.

Dynamic resource provisioning is a challenging technique to meet the service level agreement (SLA) requirements of multi-tier applications in virtualization-based cloud computing. Prior efforts have addressed this challenge based on either a cost-oblivious approach or a cost-aware approach. However, both approaches may suffer frequent SLA violations under flash crowd conditions. Because they ignore the benefit gained that a multi-tier application continuously guarantees the SLA in the new configuration. In this paper, we propose a benefit-aware approach with feedback control theory to solve this problem. Experimental results based on live workload traces show that our approach can reduce resource provisioning cost by as much as 30% compared with a costoblivious approach, and can effectively reduce SLA violations compared with a cost-aware approach.

Cloud Computing is a way to deal with fabricate the breaking point or incorporate capacities effectively without placing assets into new system, planning new staff, or approving new programming. They have various potential purposes of intrigue and various attempt applications and data are moving to open or half and half cloud. However, regarding some business-fundamental applications, the affiliations, especially considerable attempts, still wouldn't move them to cloud. The market gauge the Cloud Computing shared is as yet far behind the one expected. From the clients' perspective, Cloud Computing security concerns, especially data security and security confirmation issues, remain the basic inhibitor for gathering of Cloud Computing organizations. In this paper, we present a diagram on data security and security protection issues related with Cloud Computing over all periods of data life cycle. Firstly,, we moreover focus a related works and after that we show unpretentious components of Cloud Computing security issues, and a short time later data security and insurance affirmation issues, and a while later we display some present courses of action in cloud. Finally, we look at future work about data security and security affirmation issues in cloud. Keywords: cloud computing; security deployment; privacy protection infrastructure.

"Cloud Computing" is a technique which content software and web-services. We use it on pay-per use demand services. Central to all issues related to Cloud service lies under the establishment of an effective load balancing algorithm in a dynamic session. In this paper, we propose an approach of Round Robin technique in a circular way and by this method we try to clarify the load balancing scenario of a cloud server during its execution. It will help to get an effective and fast execution environment of task assigned by the user which helps in to create an effective communication framework between broker and virtual machine (VM) to optimize the time and minimize the cost. We implement it over CloudSim 3.0 under VM scheduling (Space and Time sharing) policies. Scheduling over Virtual Machine and Cloudlets are being analyzed over Round Robin and FCFS scheduling policy.