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An Efficient Bounded Model Checking Approach for Web Service Composition

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Abstract

With the development of service-oriented architecture, Web service composition has become more important for mitigating potential security vulnerabilities. When the scale of services increases, it will lead to the problem of state explosion. Symbolic model checking is a common method used to alleviate the problem of state-space explosion. However, for a large Web service composition system, the number of services is large, and the corresponding state space may exceed the magnitude of the symbolic model checking that can verify it. As it alleviates the state-space explosion problem, bounded model checking was utilized in the present study to verify the properties of the service composition system. Bounded model checking searches for bounded counterexamples in a limited local space and reduces the state space. This study verifies the composition of semantic Web services described by OWL-S and proposes a timed service model (TSM) to formally model the service composition system. Furthermore, the auto-mapping relationship between the OWL-S service description and the model is established. For more efficient verification, this study uses SMT-based (SMT: satisfiability modulo theory) encoding in the TSM. Finally, a public emergency service composition system was built to verify the proposed model and the efficiency of the proposed algorithm.

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References

  1. Chen X, Li J, Ma J, Weng J, Lou W (2016) Verifiable computation over large database with incremental updates. IEEE Trans Comput 65(10):3184–3195

    Article  MathSciNet  Google Scholar 

  2. Meng W, Tischhauser E, Wang Q, Wang Y, Han J (2018) When intrusion detection meets blockchain technology: a review. IEEE Access. https://doi.org/10.1109/ACCESS.2018.2799854

  3. Wang K, Zhang D, Li Y, Zhang R, Lin L (2016) Cost-effective active learning for deep image classification. IEEE Trans Circ Syst Vid 27(12):2591–2600

    Article  Google Scholar 

  4. Huang Y, Li W, Liang Z, Xue Y, Wang X (2017) Efficient business process consolidation: combining topic features with structure matching. Soft Comput 22(2):645–657

    Article  Google Scholar 

  5. Liang C, Tan Y, Zhang X, Wang X, Zheng J, Zhang Q (2018) Building packet length covert channel over mobile VoIP traffics. J Netw Comput Appl 118:144–153

    Article  Google Scholar 

  6. Tan Y, Xue Y, Liang C, Zheng J, Zhang Q, Zheng J, Li Y (2018) A root privilege management scheme with revocable authorization for android devices. J Netw Comput Appl 107(4):69–82

    Article  Google Scholar 

  7. Xue Y, Tan Y, Liang C, Li Y, Zheng J, Zhang Q (2018) RootAgency: a digital signature-based root privilege management agency for cloud terminal devices. Inform Sci 444:36–50

    Article  MathSciNet  Google Scholar 

  8. Guan Z, Li J, Wu L, Zhang Y, Wu J, Du X (2017) Achieving efficient and secure data acquisition for cloud-supported internet of things in smart grid. IEEE Internet Things 4(6):1934–1944

    Article  Google Scholar 

  9. Sun Z, Zhang Q, Li Y, Tan Y (2016) Dppdl: a dynamic partial-parallel data layout for green video surveillance storage. IEEE Trans Circ Syst Vid 28(1):193–205

    Google Scholar 

  10. He J, Zhang Z, Li M, Zhu L, Hu J (2019) Provable data integrity of cloud service with enhanced security in the internet of things. IEEE Access 7:6226–6239

    Article  Google Scholar 

  11. Fan L, Lei X, Yang N, Duong T, Karagiannidis G (2017) Secrecy cooperative networks with outdated relay selection over correlated fading channels. IEEE Trans Veh Technol 66(8):7599–7603

    Article  Google Scholar 

  12. Jiang W, Wang G, Bhuiyan MZA, Wu J (2016) Understanding graph-based trust evaluation in online social networks: methodologies and challenges. ACM Comput Surv 49(1):1–35

    Article  Google Scholar 

  13. Zhang X, Zhu L, Wang X, Zhang C, Zhu H, Tan Y (2019) A packet-reordering covert channel over VoLTE voice and video traffics. J Netw Comput Appl 126:29–38

    Article  Google Scholar 

  14. Tan Y, Zhang X, Sharif K, Liang C, Zhang Q, Li Y (2018) Covert timing channels for IoT over mobile networks. IEEE Wirel Commun 25(6):38–44

    Article  Google Scholar 

  15. Wu J, Dong M, Ota K, Li J, Guan Z (2018) FCSS: Fog-computing-based content-aware filtering for security services in information-centric social networks. IEEE Trans Emerging Topics Comput. https://doi.org/10.1109/TETC.2017.2747158

  16. Li Y, Hu J, Wu Z, Liu C, Peng F, Zhang Y (2018) Research on QoS service composition based on coevolutionary genetic algorithm. Soft Comput 22(23):7865–7874

    Article  Google Scholar 

  17. Guan Z, Zhang Y, Zhu L, Wu L, Yu S (2019) EFFECT: an efficient flexible privacy-preserving data aggregation scheme with authentication in smart grid. Sci China Inf Sci 62:1–14. https://doi.org/10.1007/s11432-018-9451-y

    Article  Google Scholar 

  18. Liang C, Wang X, Zhang X, Zhang Y, Sharif K, Tan Y (2018) A payload-dependent packet rearranging covert channel for mobile VoIP traffic. Inform Sci 465C:162–173

    Article  Google Scholar 

  19. Guan Z, Zhang Y, Wu L, Wu J, Ma Y, Hu J (2019) APPA: an anonymous and privacy preserving data aggregation scheme for fog-enhanced IoT. J Netw Comput Appl 125:82–92

    Article  Google Scholar 

  20. Zhang Q, Gong H, Zhang X, Liang C, Tan Y (2019) A sensitive network jitter measurement for covert timing channels over interactive traffic. Multimed Tools Appl. https://doi.org/10.1007/s11042-018-6281-1

  21. Li Y, Wang G, Nie L, Wang Q, Tan W (2018) Distance metric optimization driven convolutional neural network for age invariant face recognition. Pattern Recogn 75:51–62

    Article  Google Scholar 

  22. Elmisery A, Sertovic M, Gupta B (2017) Cognitive privacy middleware for deep learning mashup in environmental IoT. IEEE Access 6:8029–8041

    Article  Google Scholar 

  23. Jiang L, Cheng Y, Yang L, Li J, Yan H, Wang X (2018) A trust-based collaborative filtering algorithm for E-commerce recommendation system. J Amb Intell Human Comput 10:3023–3034. https://doi.org/10.1007/s12652-018-0928-7

    Article  Google Scholar 

  24. Fan L, Lei X, Yang N, Duong T, Karagiannidis G (2016) Secure multiple amplify-and-forward relaying with cochannel interference. IEEE J Selected Topics Signal Proc 10(8):1494–1505

    Article  Google Scholar 

  25. Lai X, Zou W, Xie D, Li X, Fan L (2017) DF relaying networks with randomly distributed interferers. IEEE Access 5:18909–18917

    Article  Google Scholar 

  26. Hu J, Liu L, Zhang C, He J, Hu C (2018) Hybrid recommendation algorithm based on latent factor model and PersonalRank. J Internet Technol 19(3):919–926

    Google Scholar 

  27. Tan Q, Gao Y, Shi J, Wang X, Fang B, Tian Z (2018) Towards a comprehensive insight into the eclipse attacks of Tor hidden services. IEEE Internet Things. https://doi.org/10.1109/JIOT.2018.2846624

  28. Rodriguez-Mier P, Pedrinaci C, Lama M, Mucientes M (2016) An integrated semantic web service discovery and composition framework. IEEE Trans Serv Comput 9(4):537–550

    Article  Google Scholar 

  29. Omid M (2017) Context-aware web service composition based on AI planning. Appl Artif Intell 31(1):23–43

    Google Scholar 

  30. Bourouis A, Klai K, Hadj-Alouane NB, Touati YE (2017) On the verification of opacity in web services and their composition. IEEE Trans Serv Comput 10(1):66–79

    Article  Google Scholar 

  31. Shunhui J, Bixin L, Dong Q (2016) Incremental verification of evolving BPEL-based web composite service. Chinese J Electron 25(1):6–12

    Article  Google Scholar 

  32. Rodriguez G, Soria A, Campo M (2016) AI-based web service composition: a review. IETE Tech Rev 33(4):378–385

    Article  Google Scholar 

  33. Zheng H (2017) Modeling and analyzing web services combination by using an innovative timed probabilistic priced process algebra. Agro Food Ind Hi Tech 28(3):1483–1485

    Google Scholar 

  34. Van Benthem J, Van Eijck J, Gattinger M, Su K (2018) Symbolic model checking for dynamic epistemic logic — s5 and beyond. J Log Comput 28(2):367–402

    Article  MathSciNet  Google Scholar 

  35. Liu W, Wang R, Fu X, Wang J, Dong W, Mao X (2013) Counterexample-preserving reduction for symbolic model checking. J Appl Math 2014(1):249–266

    MathSciNet  MATH  Google Scholar 

  36. Luo X, Wu L, Chen Q, Li H, Zheng L, Chen Z (2018) Symbolic model checking for discrete real-time systems. Sci China Inform Sci 61(5)

  37. Kwon Y, Kim E (2015) Bounded model checking of hybrid systems for control. IEEE Trans Automat Control 60(11):2961–2976

    Article  MathSciNet  Google Scholar 

  38. Krings S, Leuschel M (2018) Proof assisted bounded and unbounded symbolic model checking of software and system models. Sci Comput Program 158:41–63

    Article  Google Scholar 

  39. Chen Z, Xu Z, Du J, Mei M, Guo J (2017) Efficient encoding for bounded model checking of timed automata. IEEJ Trans Electr Electr 12(5):710–720

    Article  Google Scholar 

  40. Monteiro F, Alves E, Silva I, Ismail H, Cordeiro L, de Lima B (2018) ESBMC-GPU a context-bounded model checking tool to verify CUDA programs. Sci Comput Program 152:63–69

    Article  Google Scholar 

  41. Hu J, Chen X, Zhang C (2016) Proactive service selection based on acquaintance model and LS-SVM. Neurocomputing 211:60–65

    Article  Google Scholar 

  42. Deng Z, Zhang J, He T (2017) Automatic combination technology of fuzzy CPN for OWL-S Web services in supercomputing cloud platform. Int J Pattern Recogn 31(7)

  43. Jia H, Ding S, Du M, Xue Y (2016) Approximate normalized cuts without Eigen-decomposition. Inform Sci 374:135–150

    Article  Google Scholar 

  44. Woźna-Szcześniak B (2016) SAT-based bounded model checking for weighted deontic interpreted systems. Fund Inform 143(1–2):173–205

    MathSciNet  MATH  Google Scholar 

  45. Zhang H, Li G, Sun D, Lu Y, Hsu C (2017) Verifying cooperative software: a SMT-based bounded model checking approach for deterministic scheduler. J Syst Architect 81:7–16

    Article  Google Scholar 

Download references

Acknowledgements

This work has been supported by the National Natural Science Foundation of China (Grant No. 61772070), the National Key R&D Program of China (No.2018YFB1004402), and the Beijing Municipal Natural Science Foundation (No.4172053).

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Authors and Affiliations

  1. School of Computer, Beijing Institute of Technology, Beijing, 100081, China

    Yuanzhang Li, Dongyan Ma, Chen Liu, Wencong Han, Hongwei Jiang & Jingjing Hu

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  1. Yuanzhang Li
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  2. Dongyan Ma
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  3. Chen Liu
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Correspondence to Jingjing Hu.

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Li, Y., Ma, D., Liu, C. et al. An Efficient Bounded Model Checking Approach for Web Service Composition. Mobile Netw Appl 26, 1503–1513 (2021). https://doi.org/10.1007/s11036-019-01486-2

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