无线传感器网络中结合信任管理的基于属性基加密方案

doi:10.11772/j.issn.1001-9081.2014.04.1047

计算机应用 ›› 2014, Vol. 34 ›› Issue (4): 1047-1050.DOI: 10.11772/j.issn.1001-9081.2014.04.1047

无线传感器网络中结合信任管理的基于属性基加密方案

黄丹

辽宁师范大学计算机与信息技术学院,辽宁大连 116081

收稿日期:2013-10-22 修回日期:2013-12-10 出版日期:2014-04-01 发布日期:2014-04-29
通讯作者: 黄丹
作者简介:黄丹(1970-),女,浙江瑞安人,讲师,博士,主要研究方向:无线传感器网络。
基金资助:
国家自然科学基金资助项目

Attribute-based encryption scheme combined with trust management in wireless sensor network

HUANG Dan

College of Computer Science and Information Technology, Liaoning Normal University, Dalian Liaoning 116081, China

Received:2013-10-22 Revised:2013-12-10 Online:2014-04-01 Published:2014-04-29
Contact: HUANG Dan

摘要/Abstract

摘要：

针对无线传感器网络(WSN)中基于属性基加密(ABE)的属性授权与撤销问题，提出了一种结合信任管理的密文策略ABE方案(TM-CP-ABE)。该方案基于密文策略ABE，融合了信任管理机制，将信任评估和信任更新与属性授权和属性撤销结合起来。对方案的安全性、复杂性和有效性进行了对比分析，并与目前WSN中比较流行的加密方案进行了仿真实验对比，结果表明TM-CP-ABE方案较好地解决了无线传感器网络CP-ABE的属性撤销问题，并通过属性撤销在一定程度上抑制了恶意节点的破坏行为。

Abstract:

To solve the attributes authority and attributes revocation of Attribute-Based Encryption (ABE) in Wireless Sensor Network (WSN), a scheme of trust management-based ciphertext-policy ABE (TM-CP-ABE) was proposed. The proposed scheme was based on ciphertext-policy ABE and combined it with trust management mechanism. The procedure and the steps of trust evaluation based attributes authority and trust update based attributes revocation were provided. The security, complexity and validity of the proposed scheme were analyzed. Compared with the popular encryption scheme in WSN through comprehensive simulation, the results show that the proposed scheme is efficient for attribute revocation of CP-ABE in WSN. By attributes revocation, to a certain extent, the attacks of malicious nodes are also inhibited.

中图分类号:

TP393.08

黄丹. 无线传感器网络中结合信任管理的基于属性基加密方案[J]. 计算机应用, 2014, 34(4): 1047-1050.

HUANG Dan. Attribute-based encryption scheme combined with trust management in wireless sensor network[J]. Journal of Computer Applications, 2014, 34(4): 1047-1050.

参考文献

［1］MANOLAKOS E S, LOGARAS E, PASCHOS F. Wireless sensor network application for fire hazard detection and monitoring [C]// SENSAPPEAL 2009: Proceedings of the 2009 International Conference on Sensor Applications, Experimentation, and Logistics. Berlin: Springer-Verlag, 2010: 1-15.
［2］JENNIFER Y, BISWANATH M, DIPAK G. Wireless sensor network survey [J]. Computer Networks, 2008, 52(12): 2292-2330.
［3］OLIVEIRA L B, WONG H C, LOUREIRO A A F, et al.On the design of secure protocols for hierarchical sensor networks [J]. International Journal of Security and Networks, 2007, 2(3/4): 216-227.
［4］CHIEN H-Y, LIN R-Y. Improved ID-based security framework for Ad Hoc network [J]. Ad Hoc Networks, 2008, 6(1): 47-60.
［5］HU L, LIU Z, SUN T, et al.Survey of security on identity-based cryptography [J]. Journal of Computer Research and Development, 2009, 46(9): 1537-1548. (胡亮,刘哲理,孙涛,等.基于身份密码学的安全性研究综述[J].计算研究与发展,2009,46(9):1537-1548.)
［6］BONEH D, FRANLIN M. Identity based encryption from the Weil pairing [J]. SIAM Journal of Computing, 2003, 32(3): 586-615.
［7］RAHMAN S M, KHALILI E K. Private key agreement and secure communication for heterogeneous sensor networks [J]. Journal of Parallel and Distributed Computing, 2010, 70(8):858-870.
［8］OLIVEIRA L B, ARANHA D F, CONRADO P L, et al.TinyPBC: pairings for authenticated identity-based non-interactive key distribution in sensor networks [J]. Computer Communications, 2011, 34(3): 485-493.
［9］GOYAL V, PANDEY O, SAHAI A, et al.Attribute-based encryption for fine-grained access control of encrypted data [C]// CCS06: Proceedings of the 13th ACM Conference on Computer and Communications Security. New York: ACM, 2006: 89-98.
［10］BETHENCOURT J, SAHAI A, WATERS B. Ciphertext-policy attribute-based encryption [C]// SP'07: Proceedings of the IEEE Symposium on Security and Privacy. Washington, DC: IEEE Computer Society, 2007: 321-334.
［11］HUR J, KOO D, HWANG S O, et al.Removing escrow from ciphertext policy attribute-based encryption [J]. Computers & Mathematics with Applications, 2012, 34(6): 260-264.
［12］ATTRAPADUNG N, LIBERT B. Functional encryption for public-attribute inner products: achieving constant-size ciphertexts with adaptive security or support for negation cached [J]. Journal of Mathematical Cryptology, 2011, 5(2): 115-158.
［13］LIN H, CAO Z, LIANG X, et al.Secure threshold multi authority attribute based encryption without a central authority [J]. Information Sciences, 2010, 180(13): 2618-2632.
［14］WANG G, LIU Q, WU J, et al.Hierarchical attribute-based encryption and scalable user revocation for sharing data in cloud servers [J]. Computers & Security, 2011, 30(5): 320-331.
［15］TAN Y L, GOI B M, KOMIYA R, et al.A study of attribute-based encryption for body sensor networks [J]. Communications in Computer and Information Science, 2011, 251(2): 238-247.
［16］WATERS B. Ciphertext-policy attribute-based encryption: an expressive, efficient, and provably secure realization [G]// Proceedings of 14th International Conference on Practice and Theory in Public Key Cryptography, LNCS 6571. Berlin: Springer, 2011: 53-70.
［17］GANERIWAL S, BALZANO L K, SRIVASTAVA M B. Reputation-based framework for high integrity sensor networks [J]. ACM Transactions on Sensor Network, 2008, 4(3): 1-37.
［18］SHAIKH R A, JAMEEL H, AURIOLuriol B J, et al.Group-based trust management scheme for clustered wireless sensor networks [J]. IEEE Transactions on Parallel and Distributed Systems, 2009, 20(11): 1698-1712.
［19］WOOD A D. Denial of service in sensor networks [J]. Computer Date of Publication, 2002, 35(10): 54-62.
［20］KALPAKIS K, DASGUPTA K, NAMJOSHI P. Efficient algorithms for maxinluin lifetime data gathering and aggregation in wireless sensor networks [J]. ACM Computer Networks, 2003, 42(6): 697-716.

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无线传感器网络中结合信任管理的基于属性基加密方案

Attribute-based encryption scheme combined with trust management in wireless sensor network

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