International Journal of Emerging Technology & Research

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1 International Journal of Emerging Technology & Research A Novel Approach for Enhancing Security in JOSSO Mechanism in Distributed Computer Networks S. Amudha 1, Abhijeet Das 2, BirajaNalini Rout 3, Saravanan 4 1 PG Scholar, DMI College of Engineering, Chennai, India 2 Assistant Professor, DMI College of Engineering, Chennai, India Abstract In a distributed computer network, for multiple accesses to different distributed services a user have to use a same set or different sets of credentials for each application or service access. Single Sign On[15] mechanism overcomes this particular anomaly by providing the user a single set of credentials as their identities for accessing multiple services. Authorization [16] and Verification is done at the central service provider end. As the number of services grows exponentially both in the Internet and the corporate sector, these leads to insuffiency with the existing structure. This proposed system provides the single sign on using JOSSO [17] along with a more secure layer of biometric [18]. This biometric level implements a face recognition mechanism which authenticates and verifies the client. In this Hierarchical tree structure plays a vital role in this respect which uses a single controller to manage different sub-controller. These sub controller acts as a parent node which contains child nodes that represents the various services provided to the client by the service provider over a distributed network. Keywords AES, SVD, JOSSO, SSO,Hierarchical service access,rijndael's key I. Introduction The Single Sign On mechanism identifies a user distinctly using a single credential or token allowing access to the user s multiple services. It s an advancement of the existing client server network architecture on the distributed networks. A Central Service Provider authenticates the client and verifies whether the user has the required credentials for accessing the services. JOSSO (Java Open Single Sign-on) offers a solution in this respect towards user authentication and authorization. JOSSO exposes Single Sign On services using SOAP over HTTP protocol allowing it to easily integrate with non-java applications. SOAP [19] provides a better way of communication between application over HTTP running on different OS, different technology and programming languages. Currently updated mechanism JOSSO is an all in one solution for end to end delivery of federate single sign on settings, building on a purely model driven approach for lowering the entry barriers and certain timeout. This work completely emphasizes the idea of implementing Biometrics with the single sign on services over the distributed network. A recognition system for identifying members of an audience, the system including an imaging system which generates an image of the audience; a selector module for selecting a portion of the generated image; a detection means which analyses the selected image portion to determine whether an image of a person is present; and a recognition module responsive to the detection means for determining whether a detected image of a person identified by the detection means resembles one of a reference set of images of individuals.this paper suggests two layers of authentication andverification which includes sign as the first level and face recognition of the client,which when authenticated and verified will allow the client to access the services. The first level uses a single sign on mechanism which can be accessed only using token provided by the service provider and the client.the second level deals with biometric mechanism for face recognition which is optional and is based entirely on the user selection. This added level acts as a security measure on the existing single sign on mechanism.existing System has the following drawbacks such assecurity flaw uses the RSA cryptosystem to generate a secure token for each user,it requires additional time synchronized mechanism, So that it will increase the overhead of the system,more existing scheme employ timestamps to avoid relay attacks. II. Josso Back Ground JOSSO is an Open Source Internet SSO solution for rapid and standards-based (SAML) Internet-scale Single Sign-On implementations, allowing secure Internet access to the Webbased applications or services of customers, suppliers, and Copyright reserved by IJETR (Impact Factor: 0.997) 41

2 business partners. The proposed system deals with josso mechanism with biometric application (which uses a standard face recognition system)for more secure sign on to access multiple services within the distributed network. JOSSO applies the AES [20] concept of encryption algorithm for a token to be shared between the client and the service provider.this token provides pipeline to access multiple services over the hierarchical service access tree, bumping off snooping attack.biometric level which use the face recognition deals with the SVD[21] algorithm that original image will converted to the gray scale image which latter on transformed to binary code and stored in database.this added level of security comes as an added advantage to the existing SSO. It is provided as an optional level for a secure accessing. Each time the user sign in considering he has activated the biometric service, match the binary code generated by the current time user image with the existing database binary codes against that particular token shared between the user and the service provider. This biometric level acts as a security feature which overcome any snooping attack on the credentials of the user. III.Related Works In 2000, Lee and Chang [4] proposed a user identification and key distribution scheme to maintain user anonymity in distributed computer networks. Later, Wu and Hsu [8] pointed out that Lee-Chang scheme is insecure against both impersonation attack and identity disclosure attack. Meanwhile, Yang et al. [9] identified a weakness in Wu- Hsu scheme and proposed an improvement. In 2006, however, Mangipudi and Katti [10] pointed out that Yang etal. s scheme suffers from DoS (Deniable of Service) attack and presented a new scheme. In 2009, Hsu and Chuang [11] showed that both Yang et al. and Mangipudi- Katti schemes were insecure under identity disclosure attack, and proposed an RSA-based user identification scheme to overcome the drawbacks. On the other hand, it is usually not practical by asking one user to maintain different pairs of identity and passwords for different service providers, since this could increase the workload of both users and service providers as well as the communication overhead of networks.to tackle this problem, single sign-on (SSO) mechanism [12] has been introduced so that after obtaining a credential from a trusted authority, each legal user can use this single credential to authenticate itself and then access multiple service providers. Intuitively, an SSO scheme should meet at least two basic security requirements, i.e., soundness and credential privacy. Soundness means that an unregistered user without a credential should not be able to access the services offered by service providers. Credential privacy guarantees that colluded dishonest service providers should not be able to fully recover a user s credential and then impersonate the user to log in other service providers. Formal security definitions of SSO schemes were given in [13]. Chang and Lee made a careful study of SSO mechanism. Firstly, they argued that Hsu-Chuang user identification scheme, actually an SSO scheme, has two weaknesses: (a) An outsider can forge a valid credential by mounting a credential forging attack since Hsu-Chang scheme employed naive RSA signature without any hash function to issue a credential for any random identity selected by a user ; and (b) Hsu-Chuang scheme requires clock synchronization since timestamp is used in their scheme.thedrawback is delay in packet delivery andlogin into system which may causes lots of security threats. Hence total network becomes affected. IV.Josso Constranints Pluggable framework: It provides a componentcentric infrastructure that allows to leverage existing user identity repositories and authentication mechanisms. Custom access management plugins can be implemented in an out-of-the-box fashion using the POJO component model and injected using the spring configuration format. Non intrusive 0% development: SSO-enabled web applications don't have to depend on any proprietary Single Sign-On API. JOSSO handles the whole authentication flow transparently, propagating the security context to web and EJB tiers for consumption using the standard JEE interfaces. Wide Application Container Support: End-to-End declarative integration with Tomcat, JBoss, Weblogic and Apache Httpd server. Spring Friendly: Can be deployed on top of the Spring IoC container and leveraged as the default SSO implementation of the Spring Security layer. It can provide fine-grained authorization services to SSO-enabled Spring security applications. Middleware-free Cross-domain: Federated settings between organizations can be implemented without deploying additional hardware nor software middleware such as reverse proxies. Cross-platform: It allows the integration of Java and non-java applications, such as PHP, Microsoft ASP and any server-side scripting application, by leveraging the native SOA architecture of the product. Commitment to open standards: It leverages industry standards such as JEE, Spring, JAAS, web services/soap, EJB, servlet/jsp, JMX and Struts.. V. Proposed Architecture Java open single sign on provides multi-access services with single sign, reducing the overhead over multiple sign on over a Copyright reserved by IJETR (Impact Factor: 0.997) 42

3 distributed network.aes stands for advanced encryption standard currently known as best encryption algorithm for security reducing data breaches and the protection of intellectual property. It is compatible with java environment so platform independency is the added advantage over the existing system. It keeps data from snoopers without compromising systems or storage devices. 5.1 Components As suggested by the paper JOSSO comprises three main components such as SSO Gateway (IdP): It's the SSO server, also known as Identity Provider, responsible of acting as a the web access management authority for SSO-enabled applications and their users. SSO Agent: Handles the single sign-on use-cases and execution environment integration details for SSO-enabled applications. Agents consume Gateway identity services. Partner application (SP): SSO-enabled web application, also known as Service Provider,that relies on the SSO Agent and Gateway components for providing the Single Sign-On experience to users. 2. InitialRound 1. AddRoundKey each byte of the state is combined with a block of the round key using bitwise xor. 3. Rounds 1. SubBytes a non-linear substitution step where each byte is replaced with another according to a lookup table. 2. ShiftRows a transposition step where the last three rows of the state are shifted cyclically a certain number of steps. 3. MixColumns a mixing operation which operates on the columns of the state, combining the four bytes in each column. 4. AddRoundKey 4. Final Round (no MixColumns) 1. SubBytes 2. ShiftRows 3. AddRoundKey. 5.3 Face recognition system 5.2 AES Algorithms Fig 1.0 Proposed Architecture AES basically deals with symmetric key algorithm which supports 128,192,256 bit keys which is stronger and faster than triple DES (data encryption standard) which provided 64 bit data using with 56 bit key.aes algorithm consist of the 4 steps which are 1. KeyExpansion round keys are derived from the cipher key using Rijndael's [22] key schedule. AES requires a separate 128-bit round key block for each round plus one more. This added level of security comes as a optional service to the user in the case of more secured environment is demanded.face recognition system basically deals with the original image is being transformed to gray scale level image and the gray code will be converted to the binary code using a simple XOR function. This includes five steps: Step 1: Frame capture Each time a particular frame will be selected from the user to capture the image in a standard format as defined by the service provider. Step 2: Feature Extraction Then for each face image, we extract blocks. We extract SVD features fromeach block and process the coefficients until the whole face image becomes an observation sequence. Step 3: Hidden Markov Models Observation sequences for each person are used to train models for each person using the supervised learning method. Step 4: Recognition Process Now that we have a model for each person in our dataset we use this model to write a function that recognize an unseen faces. Step 5: Capture Frames from Webcam The program can capture frames from the webcam. Copyright reserved by IJETR (Impact Factor: 0.997) 43

4 5.4 Hierarchical Services Access Tree This new feature added to the existing service provider architecture along with the earlier two layers helps in accessing the services falling under the same set of services with a better time complexity reducing the switching overhead. The service provider system will be basically divided in to a hierarchical tree structure in the child nodes derive the attributes that are defined in the parent nodes which reduce the overall processing time. Example considering the social networking sites like Facebook and twitter both will be grouped under the same parent node named social media. Nowif the user want to access Facebook or Twitter then the token given by the service provider at first will be put in to the query in the centralize controller for accessing the particular parent node to which the particular service belongs. Upon receiving the request from the central controller the parent node will check whether that particular service is accessible by that token or not, if accessible the parent node will redirect the client to the particular service and if not accessible then it will prompt the user that this particular service is not registered yet and inquire whether the client wants to access it or not in future. Fig Proposed Methodologies. where p is the number of processors is the execution time of the sequential algorithm is the execution time of the parallel algorithm with p processors Now from the above formula we can deduce that the speedup increases with decrease in the execution time of the parallel algorithm with p processors since it is nversely proportional to the speedup.as we are using parallel distributed services so the parallel processing time will be less implies the speedup will be maximum with the proposed system. VI. Comparison with Existing Systems 1. Platform independency JOSSO along with the AES algorithm achieve the power of platform independency and thus can be used a across different OS,different programming languages. So the internal compatibility between the services can be achieved. 2. Time complexity In the hierarchical services tree the child node inherit the attributes from the parent node, so each time the services do not need to be dependent upon the central controller and is handled by the parent node. 3.Biometric level This paper proposed a second optional added layer to the existing JOSSO which will acts more secure sign on over the existing architecture. This level uses the SVD mechanism over face recognition overcome the snooping attack. 4. Faster Switching Due to hierarchical tree structure the switching between the services belonging to the same parent node will be much faster as because the parent node subcontroller will be handling the child node request belonging to it reducing the total working overhead on the central controller which is again ready for the next user instruction. VII.Conclusion and Future Work Fig Hierarchical Access Tree Speedup is defined by the following formula: This system does provides single sign on with multiple service access over the distributed services with more secure credentials. The proposed system contains the JOSSO which is platform independence and having the AES algorithm for generating token which is shared between the client and the user and accessed across the different OS with different programming by achieving the internal compatibility. The generated token will be create a session for the user specifically each time when he sign in and the session will be destroyed when the sign of from the Copyright reserved by IJETR (Impact Factor: 0.997) 44

5 central service services. The user can choose the optional credential by using the biometric services for face recognition for more secured sign in. Though out the service the child node service extract the attributes from the parent controller which reduce the overhead upon the central server. The faster switching and process inter compatibility can be achieved by this process.in near future the other biometric appliances can be integrated with the proposed system for the respective recognition of the user accessing the multiple services over the distributed networks. VIII. REFERENCES Data EncryprtionStandard,NIST Std. FIPS PUB 46-2, [17] Biometrics and Face Recognition Techniques. [18] [19] Eric Conard, Advanced Encryption Standard [20] Trucco, Appendix A.6, Singular Value Decomposition (SVD) [21] Niels Ferguson, John Kelsey1,Stefan Lucks, Bruce Schneier1, Mike Stay, David Wagner4 and Doug Whting, Improved Cryptanalysis of Rijndael. [1] Weaver and M. W. Condtry, Distributing Internet services to the network s edge, IEEE Trans. Ind. Electron. 50(3): , Jun [2] L. Barolli and F. Xhafa, JXTA-OVERLAY: A P2P platform for distributed, collaborative and ubiquitous computing, IEEE Trans. Ind.Electron., 58(6): , Oct [3].L. Lamport, Password authentication with insecure communication,commun. ACM, 24(11): , Nov [4] Chin-Chen Chang, A secure single mechanism for distributed computer networks, IEEE Trans. On IndustrialElectronics,vol. 59,no. 1, Jan [5] W. B. Lee and C. C. Chang, User identification and key distribution maintaining anonymity for distributed computer networks, Computer Systems Science and Engineering, 15(4): , [6] W. Juang, S. Chen, and H. Liaw, Robust and efficient password authenticated key agreement using smart cards, IEEE Trans. Ind. Electron.,15(6): , Jun [7] X. Li, W. Qiu, D. Zheng, K. Chen, and J. Li, Anonymity enhancement on robust and efficient password-authenticated key agreement using smart cards, IEEE Trans. Ind. Electron.,57(2): , Feb [8]T.-S. Wu and C.-L. Hsu, Efficient user identification scheme with key distribution preserving anonymity for distributed computer networks, Computers and Security, 23(2): , [9] Y. Yang, S. Wang, F. Bao, J. Wang, and R. H. Deng, New efficient user identification and key distribution scheme providing enhanced security, Computers and Security, 23(8):69-704, [10] K. V. Mangipudi and R. S. Katti, A secure identificationand key agreement protocol with user anonymity (sika), Computers and Security, 25(6): , [11]C.-L. Hsu and Y.-H. Chuang, A novel user identification scheme with key distribution preserving user anonymity for distributed computer networks, Inf. Sci., 179(4): , [12] Data Encryption Standard, NIST Std. FIPS PUB 46-2,1988. [13] Advanced Encryption Standard, NIST Std. FIPS PUB 197, [14] W. Stallings, Cryptography and Network Security, 4th ed. Upper Saddle River, NJ: Pearson, Nov. 2005, pp [15] Jean Jacob, Maty John2, SecirityEnchancement of Single Sign On Mechanism for Distributed Computer Network. [16] L.Lamport, Password Authentication with insecure communication,commun.acm,24(11): , Nov Copyright reserved by IJETR (Impact Factor: 0.997) 45

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