A secure cloud storage system combining time-based one-time password and automatic blocker protocol
© The Author(s). 2016
Received: 25 January 2016
Accepted: 25 May 2016
Published: 11 June 2016
Cloud storages in cloud data centers can be used for enterprises and individuals to store and access their data remotely anywhere anytime without any additional burden. By data outsourcing, users can be relieved from the burden of local data storage and maintenance. However, the major problem of cloud data storage is security. Moreover, cloud users must be able to use the cloud storage just like the local storage, without worrying about the need to verify the data integrity and data consistency. Some researchers have been conducted with the aid of a third party auditor (TPA) to verify the data stored in the cloud and be sure that it is not tampered. However, the TPA is leased by the provider, and after a time, a cloud service provider may contract with the TPA to conceal the loss of data from the user to prevent the defamation. This paper presents a novel secure cloud storage system to ensure the protection of organizations’ data from the cloud provider, the third party auditor, and some users who may use their old accounts to access the data stored on the cloud. The proposed system enhances the authentication level of security by using two authentication techniques; time-based one-time password (TOTP) for cloud users verification and automatic blocker protocol (ABP) to fully protect the system from unauthorized third party auditor. The experimental results demonstrate the effectiveness and efficiency of the proposed system when auditing shared data integrity.
KeywordsCloud computing Privacy preserving Public auditability Third party auditor (TPA) One-time password (OTP) Automatic blocker protocol (ABP)
Cloud computing has been envisioned as the next-generation of distributed/utility computing . It is defined as a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction . The National Institute of Standards and Technology (NIST) defines cloud computing by five essential characteristics, three service models, and four deployment models . The essential characteristics are on-demand self-service, location-independent resource pooling, broad network access, rapid resource elasticity, and measured service. The main three service models are software as a service (SAAS), platform as a service (PAAS), and infrastructure as a service (IAAS). The deployment models include private cloud, public cloud, community cloud, and hybrid cloud.
Nowadays, cloud-computing paradigm can offer any conceivable form of services, such as computational resources for high performance computing applications, web services, social networking, and telecommunications services. In addition, cloud storage in data centers can be useful for users to store and access their data remotely anywhere anytime without any additional burden . However, the major problem of cloud data storage is security. Therefore, cloud data centers should have some mechanisms able to specify storage correctness and integrity of data stored on a cloud.
Several methods have been put forward to tackle the issue of privacy preserving. Some researchers have been conducted with the aid of third party auditor (TPA) to verify the data stored in the cloud and be sure that it is not tampered [4–7]. The TPA can perform the auditing on behalf of a user and provide the audit report to the user. This technique is also useful for cloud service providers (CSP) to maintain its reputation by getting higher reliability, consistency, and data integrity ratings or certificates from TPA to improve their business on commercial point of view. However, the major problem that arises with this approach is that the TPA was leased by the provider, and after a time, the cloud service provider may contract with the TPA to conceal the loss of data from the user to prevent the defamation. As a result, the correctness of the data in the cloud storage is being put at risk.
This paper presents a novel secure cloud storage system to ensure high level of information confidentiality, availability, and integrity and to protect organizations’ data from the cloud provider, the third party auditor, and some users who take advantage of their old accounts to access the data stored on the cloud. The proposed system increases the authentication level of security by using two authentication techniques; time-based one-time password (TOTP) for cloud users verification and automatic blocker protocol (ABP) to fully protect the system from unauthorized third party auditor. The experimental results demonstrate the effectiveness and efficiency of the proposed system when auditing shared data integrity.
The rest of this paper is organized as follows. Section 2 presents an overview of the related work. Section 3 introduces the general architecture of the privacy preserving public auditing system while Section 4 describes the TOTP algorithm. Section 5 describes the proposed system while Section 6 presents the system evaluation and implementation. Finally, Section 7 lists the concluding remarks.
2 Related work
The notion of public auditability has been proposed in the context of ensuring remotely stored data integrity under different system and security models. In , a public auditability model called provable data possession (PDP) is presented for ensuring possession of files on untrusted storages. The PDP model employees the RSA-based homomorphic authenticators for data auditing. By using the PDP model, public auditing is achieved, but that model only supports static data. In subsequent work, the authors in  present partially dynamic version of the PDP model. But, the system imposes a priori bound on the number of queries and does not support fully dynamic data operations, that is, it only allows very basic block operations with limited functionality, and block insertions cannot be supported. The PDP model presented in  is extended in  to support provable updates to stored data files using rank-based authenticated skip lists. The scheme is essentially a fully dynamic version of the PDP solution. To support updates, especially for block insertion, the extended PDP eliminates the index information in the tag computation in the PDP model and employ authenticated skip list data structure to authenticate the tag information of challenged or updated blocks first before the verification procedure. However, the efficiency of the extended PDP scheme remains unclear.
In , Wang et al. Consider dynamic data storage in a distributed scenario. They proposed a protocol able to determine both the data correctness and locate possible errors. But, like , the authors only consider partial support for dynamic data operation. So, in their subsequent work , they proposed a system based on a combination between BLS-based homomorphic authenticator and MHT. That combination would support public auditability for fully dynamic data. In , a new scheme called proof of retrievability (PoR) is proposed. In this scheme, both spot-checking and error correcting codes are used to ensure both possession and retrievability of data files on the cloud storage system. However, like , the number of queries a client can perform is also a fixed priori, and the introduction of precomputed sentinels prevents the development of realizing dynamic data updates. In , an improved PoR scheme is designed using publicly verifiable homomorphic authenticators built from BLS signatures. Full proofs of security in the security model defined in  are doing. The proofs can be aggregated into a small authenticator value, and public retrievability is achieved. Although the enhancement achieves the purpose, still, the authors only consider static data files. In , the authors introduce the concept of TPA to reduce online burden and keeps data integrity and privacy preserve. An improved technique of verifying data integrity on cloud by utilizing the concept of TPA is introduced in . In , the authors approved that involving the TPA may associate additional risk to the confidentiality of data.
3 Privacy preserving public auditing
Cloud server (CS): an entity has significant storage space and computation resources. The cloud server is managed by cloud service provider (CSP) to provide data storage service to anyone wants to store data in the cloud.
Cloud user (CU): a person who has huge amount of data files to be stored in the cloud server.
Third party auditor (TPA): the one who has expertise and capabilities that users may not have and is trusted to assess and expose risk of cloud storage services on behalf of the users upon request.
The cloud users initialize the connection by generating the keys and metadata
Sending these keys to the CSP
Sending the key and metadata to the TPA to audit the outsourced data on the CS
Although the privacy preserving public auditing system achieves a good level of data security, the problem arises with such a system is that the cloud service provider may contract with the third party auditor to conceal the loss of data from the user to prevent the defamation. In this case, the user might lose his data because he did not know anything about the deal between the TPA and the CSP. In fact, this problem appears recently and most of the data owners suffer from it.
4 Time-based one-time passward algorithm
TOTP algorithm is an algorithm that computes a one-time password from a shared secret key and the current time. It has been adopted as Internet Engineering Task Force standard RFC 6238 . The TOTP combines a secret key with the current timestamp using a cryptographic hash function to generate a one-time password. In a typical two-factor authentication application, user authentication proceeds as follows: a user will enter username and password into a website or other server, generate a one-time password for the server using TOTP running locally on a smartphone or other device, and type that password into the server as well. The server will then verify the entered one-time password. Both the server and the data owner compute the token, then the server checks if the token supplied by the data owner matches the locally generated token. Then the session between them is opened and securely the users can access the system.
K is a secret key.
C is a counter.
HMAC (K, C) = SHA1 (K ⊕ 0x5c5c … ‖SHA1 (K ⊕ 0x3636 … ‖C)) is a HMAC calculated with SHA cryptographic technique.
HOTP (K, C) = Truncate (HMAC (K, C)) & 0x7FFFFFFF.
Where, d is the desired number of digits of the one-time password, according to RFC6238  reference implementation.
5 Proposed system
Organization admin: an entity, who has huge amount of data to be stored in the cloud, can be either enterprise or individual customers. The admin has all the privileges over the users and the third party auditors.
Cloud user (CU): the user that can access (update or retrieve) the data on the cloud under supervision of the organization admin.
Third party auditor (TPA): the one who may rent upon the request from the admin to audit the data stored on the cloud.
Cloud service provider (CSP): the one who can manage the cloud servers that have a large storage space available for any organization wants to store their data.
5.1 Methodology of the proposed system
The CSP replies to the request from the admin, by using the SINGEN [11, 12] algorithm, to accept the set up scheme. So, a connection initializes between the admin and the CSP. However, before outsourcing data to the CS, data is encrypted by a powerful encryption technique called advanced encryption system (AES).
To achieve the information confidentiality, integrity, and availability, according to the CIA triad for the information security, the user must have an account (emails and password) to access stored data. In this system, more restrictions upon these accounts are done by the admin to avoid data access by pre-activated accounts, where, the admin is the only one that can activate or not the accounts.
The activated users’ accounts can login by using the two stages authentication technique; username with password and the TOTP that is permitted for one session between the user and the cloud server.
If the organization admin wants to audit the outsourced data on the cloud server, he resorts to the TPA who has the expertise to audit the data. However, the TPA must have an account in the system. This account must also activate from the organization admin. If the TPA account is activated from the organization admin, then the secret key and metadata would send to the TPA to audit the outsourced data on the CS; otherwise, the TPA cannot access the system.
TPA with the secret key and metadata sends the auditing request to the CSP to initialize the auditing process.
The CSP sends a query about the auditing process to the organization admin to authorize that query and TPA metadata by using the APB.
If the APB is true, the admin sends the approval to the cloud service provider with the metadata; otherwise, the TPA cannot access the system.
The TPA has a report about the data auditing.
The TPA sends the report about the auditing process to the organization admin with the metadata, then the admin deactivates the TPA account, to prevent any deal may be happen between the CSP and the TPA to hide the data losses from the admin.
Briefly, the proposed public auditing system is constructed in three phases: setup, data access and audit.
The proposed system can serve any organization (i.e., trading companies and banking, commercial companies) to store their data on the cloud storage that set with the providers. The organization can rent a TPA for auditing process to prevent the contract between the TPA and the CSP for hiding data losses. The auditing process may be done any times upon the organization need. In addition, the proposed system can serve the organization to authenticate the users to access their system many times upon their registration in the system.
6 System implementation and evaluation
System implementation:The proposed system is implemented by using the Java enterprise edition web application with tomcat server. In the proposed system, every organization has an admin to guarantee the data confidentiality, integrity, and availability. The admin generates the keys and metadata, initializes connection with the CS, and then stores the data at the cloud server. However, before outsourcing data to the CS, data is encrypted by using the advanced encryption system (AES). To access the data on the CS, the admin activates the users’ accounts, as shown in Fig. 6. Then, the TOTP authenticates the users with the approval from the cloud service provider, as shown in Fig. 7. To audit the outsourced data, the admin delegates the TPA for the auditing process and uses the ABP to permit the activated TPA to audit the outsourced data, as shown in Fig. 8 and Fig. 9. If the TPA is permitted by the APB, the admin sends the metadata with the secret key to the TPA for auditing process. After auditing, the TPA sends the auditing report to the admin, then the admin deactivates the TPA account to ensure that the TPA cannot login the system again. These restrictions upon TPA enhance the secrecy of the system.
Since the proposed system is developed to enhance the level of information confidentiality, availability, and integrity, therefore, to evaluate the proposed system, it should be tested against hacking the user credential ties, and the TPA auditing credential ties, and hacking the data transmitted between the cloud entities.
The proposed system is evaluated by using the penetration test program of the Open Web Application Security Project (OWASP) [20, 21]. The OWASP is an online community dedicated to web application security. This program has 10 tests used to examine the security levels of any web application classifies the vulnerabilities on the web application. The OWASP top 10 tests are named as follows; 1—injection, 2—broken authentication and session management, 3—cross-site scripting (XSS), 4—insecure direct object references, 5—security misconfiguration, 6—sensitive data exposure, 7—missing function level access control, 8—cross-site request forgery (CSRF), 9—using components with known vulnerabilities, and 10—unvalidated redirects and forwards.
Test 1: SQL injection
All the interpreters in the system are examined, including external users, internal users, and administrators.
Test 2: Broken authentication and session management
Anonymous attackers attempt to steal the users’ accounts or spoofing their passwords; this might be handled in our system using TOTP for users’ login that is available for one session for a while between the user and CSP and APB used to authenticate the TPA.
Test 3: Sensitive data exposure
The one who can access our data is very important and dangerous, so we assume that the admin is the only one who allows the other interpreters in the system to access the data, and the data must be encrypted using AES encryption technique before it outsourced to CSP.
Test 4: Cross-site request forgery (CSRF)
If there was a request for our interpreters to steal their credential ties, so the interpreters like users must follow some more precautions after they log in to the system. We solve that problem using TOTP that is OTP which encrypted using SHA technique which considered as good security technique.
Test 5: invalidated redirects and forwards
Examines the web application against HTTP sessions, which examines if there were some vulnerability in our codes and how we manage sessions, if these sessions redirected in a true manner or not to assure the tokens between the interpreters and the server.
Recent system 
Test 1: SQL injection
No SQL injects
No SQL injects
Test 2: Broken authentication
The authentication is broken due to the usage of the static password
The authentication not broken due to usage TOTP at users’ side and APB at TPA side
3, 5 days
Test 3: Sensitive data exposure
The outsourced data encrypted using DES technique
The outsourced data encrypted using AES technique
3, 5 days
Test 4: CSRF
The sessions managed using HTTP
The sessions managed using HTTPS
3, 5 days
Test 5: Invalidated redirects and forwards
The spider found that some token is not assured
The tokens between the users and CSP is assured
3, 5 days
As shown in Figures 10, 11, and 12, the average request response time increases for every increase in number of users requests. In addition, the proposed system performance or throughput (the number of megabits of data per second returned by the server) increases for every increase in the users numbers, as shown in Figures 13, 14, and 15.
This paper tackled the privacy preserving public auditing. A novel secure cloud storage system is proposed to ensure the protection of organizations’ data from both the cloud provider and the third party auditor and from some users who take advantage of the old accounts to access the data stored on the cloud. The proposed system increases the authentication level of security by using two authentication techniques; time-based one-time password (TOTP) and automatic blocker protocol (ABP). In the proposed system, the data owner controls all the privileges to be sure that who can access the outsourced data on cloud storage servers. To increase security, user authentication is verified by two-factor authentication: the first is exercised with a username and password while the second is caused by the implementation of TOTP. The experimental results demonstrate the effectiveness and efficiency of the proposed system when auditing shared data integrity.
The authors extend their thanks to the reviewers for the comments and suggestions that helped in improving the overall quality of this article.
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- SUCIU George, HALUNGA Simona, APOSTU Anca, VULPE Alexandru, TODORAN Gyorgy, Cloud computing as evolution of distributed computing—a case study for SlapOS distributed cloud computing platform. Informatica Economică 17(4), 109–122 (2013)Google Scholar
- P Mell, T Grance, “The NIST Definition of Cloud Computing,” National Institute of Standards and Technology, Information Technology Laboratory, October 7, 2009. http://www.nist.gov/itl/cloud/ Google Scholar
- MA Sharkh, M Jammal, A Shami, A Ouda, Resource allocation in a network-based cloud computing environment: design challenges. IEEE Communications Magazine 51(11), 46–52 (2013)View ArticleGoogle Scholar
- C Wang, Q Wang, K Ren, W Lou, Privacy-preserving public auditing for secure cloud storage. IEEE Transactions on Computers 62(2), 1–12 (2013)MathSciNetGoogle Scholar
- M. Venkatesh, M. R. Sumalatha and C. SelvaKumar, “Improving public auditability, data possession in data storage security for cloud computing,” Proc. of the International Conference on Recent Trends in Information Technology (ICRTIT), pp. 463-467, 19-21 April 2012.Google Scholar
- S Bhagyashri, YB Gurave, A survey on privacy preserving techniques for secure cloud storage. International Journal of Computer Science and Mobile Computing (IJCSMC) 3(2), 675–680 (2014)Google Scholar
- T Paigude, TA Chavan, A survey on privacy preserving public auditing for data storage security. International Journal of Computer Trends and Technology (IJCTT) 4(3), 412–418 (2013)Google Scholar
- G. Ateniese, R. Burns, R. Curtmola, J. Herring, L. Kissner, Z. Paterson, and D. Song, “Provable data possession at untrusted stores”, Proc. of the ACM Conference on Computer and Communications Security (CCS’07), pp. 598-610, October 29–November 2, 2007.Google Scholar
- G. Ateniese, R. D. Pietro, L. v. Mancini, and G. Tsudik, “Scalable and efficient provable data possession”, Proceedings of the 4th International Conference on Security and Privacy in Communication Networks, SecureComm, pp. 1–10, 2008.Google Scholar
- C. Erway, A. Kupcu, C. Papamanthou, and R. Tamassia, “Dynamic provable data possession”, Proc. of the 16th ACM conference on Computer and communications security (CCS), pp. 213-222, 2009.Google Scholar
- C Wang, Q Wang, K Ren, W Lou, Privacy preserving public auditing for secure cloud storage. IEEE Transactions on Computers 62(2), 362–375 (2011)MathSciNetView ArticleGoogle Scholar
- C Wang, Q Wang, K Ren, W Lou, Towards secure and dependable storage services in cloud computing. IEEE Trans. on Services Computing 5(2), 220–232 (2012)View ArticleGoogle Scholar
- A. Juels, J. Burton, and S. Kaliski, “Proofs of retrievaliability for large files”, Proceedings of the 14th ACM Conference on Computer and Communications Security (ccs), pp. 584-597, 2007.Google Scholar
- H Shecham, B Wates, Compact proofs of retrievability. Advances in Cryptology-ASIACRYPT 5350, 90–107 (2008)MathSciNetGoogle Scholar
- M. A. Shah, M. Baker, J. C. Mogul, and R. Swaminathan, “Auditing to keep online storage services honest,” Proceedings of the 11th workshop on hot topics in operating systems (HotOS'07), ‘HotOS’, USENIX Association, pp. 1-6, 2007.Google Scholar
- Q. Wang, C. Wang, J. Li, K. Ren and W. Lou, “Enabling public verifiability and data dynamics for storage security in cloud computing”, Proc. 14th European Symp. Research in Computer Security (ESORICS '09), pp. 355-370, 2009.Google Scholar
- P. Prasadreddy, T. Srinivasa and S.Phani, “A threat free architecture for privacy assurance in cloud computing” Proceedings of the IEEE World Congress on Services, pp. 564-568, Jul.4-9, 2011, USA. IEEE Xplore Press, DOI:10.1109/SERVICES.2011.11.
- D. M'Raihi, S. Machani, M. Pei, J. Rydell, “TOTP: time-based one-time password algorithm”, Request for Comments (RFC) 6238, July 13, 2011.Google Scholar
- K. Kiran, K. Padmaj, and P. Radha, “Automatic protocol blocker for privacy-preserving public auditing in cloud computing”, IJCST, Vol. 3, Issue. 1, Jan –March, pp. 33-36, 2012.Google Scholar
- www.owasp.org/index.php/Top_10. Accessed on April 2015.
- OWASP TESTING GUIDE, V4.0, www.owasp.org. Accessed on April 2015.
- S Bhagyashri, YB Gurav, Privacy-preserving public auditing for secure cloud storage. IOSR Journal of Computer Engineering (IOSR-JCE) 16(4), 33–38 (2014)View ArticleGoogle Scholar