Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology


Genetic-based Approach for Security Policies Negotiation in Web Service Environment

Amira Abdelatey and Mohamed Elkawkagy
Faculty of Computers and Information, Computer Science, Menofia University, Egypt
Research Journal of Applied Sciences, Engineering and Technology  2018  8:295-305
http://dx.doi.org/10.19026/rjaset.15.5915  |  © The Author(s) 2018
Received: December 7, 2017  |  Accepted: February 14, 2018  |  Published: August 15, 2018

Abstract

Web services is an important in the future internet especially in the field of business. The secure interaction between requester and the provider of the service is one of the main problems. This secure interaction requires negotiation and an agreement about their security requirements. In this study, a genetic-based approach is proposed for SOAP message security negotiation. The proposed approach covers the negotiation problem as a search space of solutions for different participants. Various security levels are proposed. These levels include three key security objects identity, integrity and confidentiality of SOAP messages. The proposed Genetic-based security negotiation approach is compared with traditional time-based negotiation and the adapted traditional time-based negotiation approaches. A telemarketing case study is addressed through experimental results. Besides, the execution time and message complexity of the three approaches are provided. Experimental results show the efficiency and effectiveness of the proposed approach compared to other two approaches.

Keywords:

Cost/benefit model, genetic algorithm, message security, non-functional requirement, web service negotiation, web service security,


References

  1. Abdelatey, A., M. Elkawkagy, A. El-Sisi and A. Keshk, 2016a. A multilateral agent-based service level agreement negotiation framework. Proceeding of the International Conference on Advanced Intelligent Systems and Informatics, pp: 576-586.
    Direct Link
  2. Abdelatey, A., M. Elkawkagy, A. El-Sisi and A. Keshk, 2016b. A repaired genetic algorithm-based approach for web service security negotiation. Proceeding of the International Conference on Computer Theory and Applications.
  3. Ai, L. and M. Tang, 2008. QoS-based web service composition accommodating inter-service dependencies using minimal-conflict hill-climbing repair genetic algorithm. Proceeding of the IEEE 4th International Conference on eScience (eScience'08), pp: 119-126.
    Direct Link
  4. Al-Aaidroos, M., N. Jailani and M. Mukhtar, 2011. Agent-based negotiation framework for web service's SLA. Proceeding of the 7th International Conference onInformation Technology in Asia (CITA, 11).
    Direct Link
  5. Bertino, E., L. Martino, F. Paci and A. Squicciarini, 2009. Security for web services and service-oriented architectures. Springer Science and Business Media.
  6. El Yamany, H.F., M.A.M. Capretz and D.S. Allison, 2009. Quality of security service for web services within SOA. Proceeding of the 2009 IEEE Congress on Services-I, 2009.https://doi.org/10.1109/SERVICES-I.2009.95
    CrossRef    
  7. Faratin, P., C. Sierra and N.R. Jennings, 1998. Negotiation decision functions for autonomous agents. Robot. Auton. Syst., 24(3-4): 159-182.https://doi.org/10.1016/S0921-8890(98)00029-3
    CrossRef    
  8. Geuer-Pollmann, C. and J. Claessens, 2005. Web services and web service security standards. Inform. Secur. Tech. Rep., 10(1): 15-24.https://doi.org/10.1016/j.istr.2004.11.001
    CrossRef    
  9. Hashmi, K., A. Alhosban, Z. Malik, B. Medjahed and S. Benbernou, 2014. Automated Negotiation Among Web Services. In: Bouguettaya, A., Q. Sheng and F. Daniel (Eds.), Web Services Foundations. Springer, New York, pp: 451-482.https://doi.org/10.1007/978-1-4614-7518-7_18
    CrossRef    
  10. Jennings, N.R., P. Faratin, A.R. Lomuscio, S. Parsons, M. Wooldridge and C. Sierra, 2001. Automated negotiation: Prospects, methods and challenges. Group Decis. Negot., 10: 199-215.https://doi.org/10.1023/A:1008746126376
    CrossRef    
  11. Jin, L.J., V. Machiraju and A. Sahai, 2002. Analysis on service level agreement of web services. Technical Report, HP June, 19.
    Direct Link
  12. Messina, F., G. Pappalardo, C. Santoro, D. Rosaci and G.M.L. Sarné, 2014. An agent based negotiation protocol for cloud service level agreements. Proceeding of the 2014 IEEE 23rd International WETICE Conference.https://doi.org/10.1109/WETICE.2014.12
    CrossRef    
  13. Moghaddam, M. and J.G. Davis, 2014. Service Selection in Web Service Composition: A Comparative Review of Existing Approaches. In: Bouguettaya, A., Q. Sheng and F. Daniel (Eds.), Web Services Foundations. Springer, New York, pp: 321-346.https://doi.org/10.1007/978-1-4614-7518-7_13
    CrossRef    
  14. Pan, L., X. Luo, X. Meng, C. Miao, M. He and X. Guo, 2013. A two-stage win-win multiattribute negotiation model: Optimization and then concession. Comput. Intell., 29: 577-626.https://doi.org/10.1111/j.1467-8640.2012.00434.x
    CrossRef    
  15. Pandurangan, G., P. Robinson and M. Scquizzato, 2016. A Time- and Message-Optimal Distributed Algorithm for Minimum Spanning Trees. arXiv preprint arXiv:1607.06883.
    Direct Link
  16. Rubenstein-Montano, B. and R.A. Malaga, 2002. A weighted sum genetic algorithm to support multiple-party multiple-objective negotiations. IEEE T. Evolut. Comput., 6(4): 366-377.https://doi.org/10.1109/TEVC.2002.802874
    CrossRef    
  17. Singhera, Z.U. and A.A. Shah, 2006. Extended web services framework to meet non-functional requirements. Proceeding of the 6th International Conference on Web Engineering.https://doi.org/10.1145/1149993.1150017
    CrossRef    
  18. Tang, M. and L. Ai, 2010. A hybrid genetic algorithm for the optimal constrained web service selection problem in web service composition. Proceeding of the IEEE Congress on Evolutionary Computation (CEC, 2010).
    Direct Link
  19. Whitley, D., 1989. The Genitor Algorithm and Selection Pressure: Why Rank-Based Allocation of Reproductive Trials is Best. Proceeding of the 3rd International Conference on Genetic Algorithms, pp: 116-121.
    Direct Link
  20. Williams, E.A. and W.A. Crossley, 1998. Empirically-derived Population Size and Mutation Rate Guidelines for a Genetic Algorithm with Uniform Crossover. In: Chawdhry, P.K., R. Roy and R.K. Pant (Eds.), Soft Computing in Engineering Design and Manufacturing. Springer, London.https://doi.org/10.1007/978-1-4471-0427-8_18
    CrossRef    
  21. Yaqub, E., R. Yahyapour, P. Wieder, C. Kotsokalis, K. Lu and A.I. Jehangiri, 2014. Optimal negotiation of service level agreements for cloud-based services through autonomous agents. Proceeding of the 2014 IEEE International Conference onServices Computing (SCC), pp: 59-66.https://doi.org/10.1109/SCC.2014.17
    CrossRef    
  22. Ye, Z., Z. Li and M. Xie, 2010. Some improvements on adaptive genetic algorithms for reliability-related applications. Reliab. Eng. Syst. Safe, 95(2): 120-126.https://doi.org/10.1016/j.ress.2009.09.001
    CrossRef    
  23. Zulkernine, F.H. and P. Martin, 2011. An adaptive and intelligent SLA negotiation system for web services. IEEE T. Serv. Comput., 4(1): 31-43.https://doi.org/10.1109/TSC.2010.44
    CrossRef    

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved