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Classification of Data to Enhance Data Security in Cloud Computing

Kumar Pal Singh Assistant Professor Department of IT

Institute of Technology & Science Ghaziabad, UP, India

[email protected]

Dr. Vinay Rishiwal Assistant Professor Department of IT

MJP Rohilkhand University Bareilly, UP, India

[email protected]

Prof.(Dr.) Pramod Kumar Professor & Director

Tula’s Institute The Engg. & Management College

Dehradun, Uttarakhand, India [email protected]

Abstract—The cloud computing model has revolutionized the computing world for more than a decade. The cloud computing has enormous advantages over the traditional computing. The cloud computing encompasses several benefits like, cost effectiveness, faster speed, takes lesser set up time, works on pay per use, has resilient service, round the clock availability, service availability on the go and may more. Along with all these advantages there are some issues and challenges with cloud computing. The one of the major issue in cloud computing is security of data or information shared in virtual environment of cloud. As the cloud model is based on the virtual machines which provide a virtual environment. Hence the data shared on the cloud becomes vulnerable for security breach. There is requirement to protect the data from every stake holders including cloud service providers. Various data security mechanism is used in the cloud computing to secure the data. One of the important ways is encryption methods. The encryption methods varies in terms of its efficiency, speed, effectiveness and costing. The security level of data does not always remain same. Rather it varies as per the type of data or some time as per demand of owner of data. Thus a base for classification of data, which is to be shared on cloud, needs to be identified. So that a suitable encryption method can be applied dynamically, to make the data encryption optimum and cost effective.

In this article the efforts are being put to analyze the foundation of data classification in cloud computing and to propose a data classification based on some important parameters which are responsible for security level of data shared in cloud environment.

Keywords—Cloud Computing, Data security, data classification, data classification index, data classification parameters, cloud data security, CIA Triad, Confidentiality, Integrity, Availability

I. INTRODUCTION

The cloud computing has revolutionized the information technology as well as business world for last several years. It has inimitable features like round the clock service availability at low cost, rapid elasticity, resilient computing, massive scale, ubiquity etc. The main idea in the cloud is to hiring a service rather owning it. There is a virtual world that provides the service in the cloud environment. The cloud computing provides a model of its services which are managed and controlled by a third party. The users who

share their data over cloud have no control for its transmission and storage. Hence the cloud is an open and heterogeneous environment which makes it vulnerable for data security aspects. And it becomes important concern to develop a trust among cloud users that their data is safe and secure in the cloud. As of now, an effective and efficient security model for cloud at various security levels like network, host, application and data is under research. Among all these cloud security aspects the data security in cloud becomes more important and essential. There is a scope and requirement of a dynamic and optimized data security model for cloud.

This is understood that level of data security can not be single or static rather it depends on the requirement and situation. Some of the data do not required to be secured while stored and transit like multimedia contents. Some of the data require low level or medium level security like data pertaining to businesses, proposals, orders, MOU etc. Some of the crucial and most secrete data require high level security like data pertaining to financial transactions, military services, secrete missions and data used by intelligent agencies etc. Hence security levels of data can vary from low level to high level. Thus single or static type of security mechanism can not serve the purpose for cloud data security. The level of security mechanism matters in terms of important parameters like speed, efficiency, effectiveness and costing. If there is low level security mechanism is applied, it may be cost effective but will be vulnerable for crucial data and will be prone for hackers. On the other side, if high level security mechanism is applied, it will be effective and useful for crucial data but will not be worth for low level or no security demanding data.

II. CIA TRIAD

To secure any information system like computer network, software system, cloud computing etc. the holding of three parameters, confidentiality, integrity and availability has to be promised. Than the security of data or information in the system can be assured. It is referred as CIA Triad, where CIA stands for Confidentiality, Integrity and Availability Fig.1 [5].

A. Confidentiality Confidentiality means protection of access of information from unauthorized user. The information is allowed to access by intended users if it is confidential.

Confidentiality

Integrity Availability

Fig. 1. Outline of CIA Triad Moreover, the implementation of confidentiality on data can vary with case to case. It depends on type and impact of the information if it is accessed by unauthorized users.

B. Integrity Integrity of data is concerned with trustworthiness of it when either it is transmitted from one place to other or it is stored somewhere. The integrity of data is lost if the content is altered or damaged by an unauthorized entity. Hence the recipient will not receive an original content sent by the sender.

C. Availability Availability of information is concerned with accessibility of it by the authorized person or by the entity or by the device as and when required. The impact of the non availability of certain information can vary as per its importance. In general there is a tradeoff between critical data and its availability.

III. RELATED WORK

Sandeep K. Sood [2], discussed about security of data in cloud either at storage or in transit mode. The author proposed framework having two phases. First phase focuses on data security when it is in storage stage and transit stage in the cloud environment. The second phase focuses on the retrieval of data from the cloud. In the second phase request initiation of data is visualized which is originated for access of data, two layer authentication, verification of digital signature and data integrity. Prasad et al. (2011) [18] talked about various security aspects applied in computing. In this article the authors have highlighted some new ways of authentication in three dimensional authentication techniques. The article highlights many issues of data availability by overcoming several existing issues such as denial of services (DoS) and data

leakage etc. Moreover, the article also discusses about the growing demand of present network structure which is heterogeneous and complex in nature, hence it demands more sophisticated and capable protocols. The authors mentioned about the weak point of the model that the data is stored in encrypted form. So if the security is compromised than the data can be accessed by unauthorized user and can easily be misused. Kamara and Lauter (2010) [19] put their efforts to maintain the integrity of data and proposed a model for public cloud environment to maintain the integrity of data by implementation of cryptographic techniques. In the suggested model the authors highlighted a technique that the sender uses a master key to encrypt their data to be sent. In continuation of further step of proposed model the decryption is made available at receivers end to decrypt the received message. In the proposed model the secrete key is used to generate the index encryption and tokens. The authors highlighted that the searching technique used is not so effective, which is used data encryption. The authors also talked about symmetric searchable encryption (SSE) and asymmetric searchable encryption (ASE). The techniques as mentioned above, SSE and ASE are suitable for encryption but it makes the system complex and bulky. Wang et al. (2010) [20] highlighted some negative points of simple encryption system. The authors mentioned that simple encryption techniques are less suitable for the cloud environment as the user require prior knowledge of encrypted data in cloud, which is not so easy. The base of proposed model is symmetric searchable encryption. The authors suggested the design of secure system, which is based on existing cryptographic primitive and also on order preserving symmetric encryption (OPSE). In the article, it is shown that success rate depends on ranked keyword search and one to many mapping. The proposed model does not highlight any information about confidentiality, integrity, availability and attacks. Therefore the model is not so suitable to make the system secure Popa et al. (2010) [21] discussed about a storage system in cloud environment with enhanced security. The authors proposed a model to make the system proactive in terms of security in which the users are able detect violations of confidentiality; integrity of data and users can check the freshness of data as well. Simar Preet Singh and Raman Maini [12] put their efforts to compare four well known encryption techniques: DES, 3- DES, Blowfish algorithm and AES algorithm. These algorithms are compared based on its performances. The comparison of these algorithms is made by taking varied sizes of data blocks. The algorithms are compared in terms of its speed and effectiveness by applying varied encryption parameters. Moreover in comparison the data loads were also varied to observe the variations in the performances of the algorithms.

As an outcome of work done by the authors the Blowfish algorithm was found to be is better in terms of its performance. It was observed that AES algorithm is more processing power consuming algorithm and its performance is poor. Gurjeevan Singh et. al [13] worked in area of wireless network and its security threats. The authors highlighted that the encryption techniques are one of the main solution for information security but at the same time these algorithms increase CPU load and consume power as well. In this article the authors compared some well known encryption algorithms such as DES, 3DES, AES, Blowfish, RC2, and RC6. The findings of the works are that the Blowfish encryption algorithm is better in terms of performance followed by RC6. Seven et al [15] talked about data security issues in cloud environment while stored. The authors suggested some steps to make the system secure. The suggested steps in the article are: (1) there should be displacement strategies for new data, (2) there should be service level agreement among the cloud users and the cloud service providers and (3) quality of service should be verified. Sharon et al. [16] discussed about some threats and the vulnerabilities faced in cloud storage environment. The authors highlighted the characteristics of cloud storage domain which affects other models of cloud including services model of cloud

IV. CLASSIFICATON OF DATA

As highlighted in introduction section of this article, the security level of data varies as per its types and requirement of the owner of data. The application of encryption algorithms also varies in terms of efficiency, speed, energy consumption and costing. Therefore the application of single encryption technique is not appropriate. In order to achieve an optimum data security mechanism in cloud environment there is need of classifying data to be shared in cloud as per its security level. Primarily the data can be classified into three main categories based on impact caused by loss or hacking of data in the cloud. Some kind of data causes lower impact if lost, called lower impact data, the loss of some data can cause medium impact and some type of data can be more crucial, the loss of such type of data causes higher impact to the owner, organization, client or employees [1]. A. Low Iimpact The loss of confidentiality, integrity, or availability of data in the cloud or in the information system, causes to have no or a lower adverse effect on owners or stake holders of data. A lower adverse effect means that, if confidentiality, integrity or availability are compromised, it does not impact the flow

of process, the order of task or financial loss. B. Moderate Impact The loss of confidentiality, integrity, or availability of data in the cloud or in the information system, causes to have moderate effect on owners or stake holders of data. A moderate adverse effect means, if confidentiality, integrity or availability compromised, it impacts the flow of process, order of task at moderate level. The financial loss cannot be considered to be moderate impact. C. High Impact The loss of confidentiality, integrity, or availability of data in the cloud computing or in the information system, causes to have moderate effect on owners or stake holders of data A high or severe adverse effect means if confidentiality, integrity or availability compromised it can cause a big financial loss or it may lead to severe damage to data owner or other stake holders that could involve loss of money, life, or a life threatening conditions.

V. PROPOSED DATA CLASSIFICATION MODEL

As it has been observed that there can be three types of impacts of data loss or hacking of data, named as low impact, moderate impact and high impact. If the impacts of data lost is correlated with security level of data than it can be indexed in three respective indices, public data, private data and data with limited access.

The data named as public index has low impact and it required lower level of security mechanism or may be it does not requires a secure mechanism while shared on cloud. In this case a lower or more economics encryption techniques can be applied.

The data with moderate impact is named as private index in terms of security level. The data with private index required moderate level of security mechanism. In this case a medium level of encryption techniques can be applied.

The data with high impact is named as most secrete data or limited access index. In this case most effective encryption techniques are required to be applied.

A. Foundation for data classifications To classify a data based on the three parameters of CIA Triad: Confidentiality, Integrity and Availability, the following flow chart (Fig.2) can be considered. The flow chart for data gives a foundation for classification of data to be shared in the cloud environment. The process has to follow yes or no the appropriate decisions as per the situation will clearly help to reach to a certain type of data, which can be public, private or restricted one.

The table 1 demonstrates the three criteria that are considered to classify the data classes for an information system. These three criteria are correlated with CIA parameters Confidentiality, Integrity, and Availability. A positive consideration to the highest value of criteria in any of the row is adequate to classify the data into that particular class. The specification of any data listed in table 1 can be a considerable class level for any of the following data security categories of confidentiality, integrity, and availability.

TABLE I. Data Classification based on weights of CIA parameters Data Sensitivity/ CIA Parameters

Low Sensitivity (Public Data)

Moderate Sensitivity (Private Data)

High Sensitivity (Restricted Data)

Call for Confidentiality

Low non- compulsory Public

Moderate Required Non-Public or Internal

High Necessary Restricted

Call for Integrity

Low Risk non- compulsory Easily Reproducible

Moderate Risk Required Internally Trusted

High Risk Necessary Sensitive Data

Call for Availability

Low Impact non- compulsory

Moderate Impact Required Usual Services

High Impact Necessary Decisive Service

Informational or Non- Critical

B. Senstivity Rating (SR) The security of data is ensured by ensuring three parameters of CIA tried, Confidentiality, Integrity and Availability. The security level of data is correlated with range of value of these three parameters pertaining to the data to be secured in cloud. The range of value of these parameters can be raised by the owner or there can an automatic processing system to evaluate the range of value of these parameters based on impact caused by the combination of these parameters on security of data. The combination of these all three parameter is called as Sensitivity Rating (SR). The SR can be formulized as below [2]:-

SR = C* + I* + A* (1)

* The ratio of each parameter is not equal In the above formula the ratio of C, I, and A is not same. Rather the ratio of all these parameters can vary as per impact caused by individual parameters pertaining to security level of data.

C. Calculation of SR a) Inversaly Proposanal Values When one value decreases at the same rate that the other increases are called inversely proportional to each other. For example time and speed are inversely proportional to each other. If speed is fast the object shall take less time reach the destination. And if the speed is slow the object shall take more time to reach the destination. S is inversely proportional to T means T is directly proportional to 1/S This can be written as: T = k/ S (2) Where k is constant of proportionality. b) Confidentiality vs Availability In any information sharing and storing system including cloud environment the confidentiality of data is inversely proportional to its availability. As if confidentiality of data is increased, it means data becomes more secret hence availability of such data decreases respectively.

If the data checked in form of its unit which can be a character or a byte than whole entered data is assigned a value in terms of confidentiality, integrity and availability. The values to these parameters are assigned pertaining to security level of data. The values of all three parameters in the range of 1 to 10 are considered as below:

Input Data

Is the confidentiality of the data important? Does the data have to be available 99.99% of the time? How important is the integrity of the data? Does the fabrication in data impact the owner/stake holder of the data?

Is this data to be shared on public cloud?

The data is too crucial that its disclosure will

significant negative impact on

stake holders?

Do the controls for internal data seem

appropriate for protecting this

asset?

Private Data Restricted Data Public Data

YES NO

NO NO

YES

YESNO

YES

Fig. 2. Data classification flow chart

C[i] = Unit Value of Confidentiality I [i] = Unit Value of Integrity A[i] = Unit Value of Availability

SR [i] = {(C[i] + k/A[i]) / 2 + I[i])} / 2 …… (3)

SR of Whole Data = { SR[i] }/n …… (4) Where the range of i will be from 1 to n (n = maximum number of data elements). And k is constant of proportionality

Furthermore based on the calculated value of SR the data element or whole data can be classified any one the three categories.

i) if value of SR[i] is from 1 to 3, the data is of public type

ii) if value of SR[i] is from 4 to 6, the data is of private type

iii) if value of SR[i] is from 7 to 10, the data is of secrete or limited access type.

VI. CONCLUSION The cloud computing has changed the computing world with it’s with its unique features and benefits over traditional computing. Along with several benefits the cloud computing has one of the main challenge which is data security. To secure data in cloud various encryption algorithms are used. Every encryption technique varies in terms of various important parameters like its speed, efficiency, optimality and costing. The security level of data which is shared in cloud environment also varies. Therefore application of uniform or random encryption technique does not make an optimal and effective security mechanism for data in cloud. There is a scope of research to make a dynamic data security system which will be optimal and effective. The research work is divided into several phases like classification of data based on sensitivity rating (SR), analysis of existing security mechanism in cloud, application of suitable encryption technique as per the SR. In this article the efforts have been put on classification data based on three essential parameters of security, confidentiality, integrity and availability, also known as CIA triad.

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