Machine Learning Techniques and Analytics for Cloud Security. Группа авторов

Machine Learning Techniques and Analytics for Cloud Security - Группа авторов


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changing nowadays. Earlier distinction between private and public clouds can be done on the location and ownership information, but currently, public clouds are running in on-premise data centers of customer and private clouds are constructed on off premise rented, vendor-owned data centers as well. So, the architecture is becoming complex. Hybrid cloud reduces the potential exposure of sensitive or crucial data from the public while keeping non-sensitive data into the cloud. Thus, secure access to data while enjoying attractive services of the public cloud is the key factor in hybrid cloud. Here, we have done a survey on hybrid cloud as it is one of the most promising areas in cloud computing, discuss all insight details. Security issues and measures in hybrid cloud are also discussed along with the use of artificial intelligence. We do not intend to propose any new findings rather we will figure out some of future research directions.

      Keywords: PaaS, SaaS, IaaS, SLA, agility, encryption, middleware, AI

      1.1 Introduction

       Scalability: IT services are not restricted to offline resources anymore, online cloud services can do a wonder. Any business can be extended based on the market need through the use of cloud computing services. A client needs almost nothing but a computer with internet connection, rest of the services can be borrowed from cloud vendors. Business can grow according to the requirement. Scalability is the key factor in adoption of any new paradigm. An organization meant for 100 people can be easily scaled up to 1,000 (ideally any number) people with the help of the cloud computing services.

       Cost: Since cloud provides services pay as you use basis, cost of setting up a business has reduced manifolds. Capital expense in buying server, software, and experts for managing infrastructure is not mandatory anymore; vendors can provide all these services. Cost saving is one of the most lucrative features of cloud computing. Any startup company can afford the cost of the setup price required for the orchestration of public cloud; thus, they can engage their selves exclusively for the development of their business.

       Speed: Cloud computing helps to speed up the overall functioning of any organization. Several lucrative easy-to-use options are just one click away, so designers and programmers can freely think about their innovations, and as a result, the speed and performance can be enhanced. Moreover, since most of the background hazards are handled by the cloud service providers as a result implementation of any advanced thinking can be made possible quickly and effortlessly.

       Reliability: Reliability is a key factor where huge data need to handle all the time. Periodic data backup and use of disaster recovery methods helps to increase the data reliability in cloud computing. Also, since space is not a constraint anymore, clients can keep mirrored data. A reliable system often leads to a secure system. Any organizations need to handle huge user centric sensitive data as well as business related data. Maintaining the reliability in the data need several rules and regulations to be enforced.

       Performance: Improved operation, better customer support, and flexible workplace aid companies to perform better than conventional on-premise system. Amazon helps Car company Toyota to build cloud-based data centers. The company is going to use the behavioral data of the user of the car, and based on that, they will send service and insurance related data [1]. User can also use Facebook or Twitter in their car dashboard. This is only an example; there is lot more. Adaptation of advanced technology excels the performance of existing system as cloud plays a crucial role here.

       Security: Cloud service providers use many security mechanisms like encryption, authentication of user, authorization, and use of some Artificial Intelligence (AI)–based method to secure their app, data, and infrastructure from possible threats.

      A combination of secure open source technologies along with integrated network may be used for secure hybrid cloud deployment like it does in HCDM [16]. But, before deployment, the customer need to determine what type of cloud computing architecture is best suitable. There are three different ways to organize cloud: private, public, and hybrid. Here, we will discuss about hybrid cloud, its benefits, and security aspects.

      Thus, motivation of this review is to provide a broad details of hybrid cloud computing, why it is gaining popularity, how business is going to be affected through the use of cloud adaption in near future, what security aspects need to dealt by vendors, and how AI can help in this regard. The following sections deal with all this topics.

      1.2 Hybrid Cloud

      If we go by the definition of National Institute of Standards and Technology [3], hybrid cloud is a “composition of two or more different types of cloud infrastructure that are bind together with the help of proprietary and standardized technology for the purpose of data and application portability. So, Simple amalgamation of cloud and on-premise data should not misinterpret as hybrid cloud. It should also provide the following facilities [2]:

       Workload distribution by portability.

       Networking between system and devices, by the use of LAN, WAN, or VPN.

       Use of a comprehensive unified automation tool.

       A complex powerful middleware for abstracting the background details.

       Incorporating availability and scalability of resources.

       Integrating disaster management and recovery strategies.

      1.2.1 Architecture

      In case of hybrid cloud architecture, the following


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