ISCAS OpenIR
ExBLACR: Extending BLACR system
Wang, Weijin (1); Feng, Dengguo (1); Qin, Yu (1); Shao, Jianxiong (1); Xi, Li (1); Chu, Xiaobo (1)
2014
Conference Name19th Australasian Conference on Information Security and Privacy, ACISP 2014
Pages397-412
Conference DateJuly 7, 2014 - July 9, 2014
Conference PlaceWollongong, NSW, Australia
Indexed TypeEI
Publish PlaceSpringer Verlag
ISSN3029743
ISBN9783319083438
Department(1) Trusted Computing and Information Assurance Laboratory, Institute of Software, Chinese Academy of Sciences, Beijing, China
English AbstractReputation-based anonymous blacklisting systems allow users to anonymously authenticate their identities with a service provider (SP) directly, while enabling the service provider to score users' misbehaviour and deny access from users with insufficient reputation, without the assistance of a Trusted Third Party (TTP). Au, Kapadia and Susilo's reputation-based anonymous blacklisting system BLACR is an elegant solution except for the linear computational overhead in the size of the reputation list. Therefore, they proposed a more practical strategy for BLACR that allows active users to authenticate in the express lane. However, the strategy disables BLACR's ability to perform unblacklisting since removing entries from the blacklist invalidates the reputation proofs of express lane tokens. Another problem of BLACR is that the express lane tokens can be reused (replay attack). In this paper, we propose ExBLACR, which provides a solution to the above problems. Our construction directly builds from BLACR and we present an improvement of weighted-score adjusting protocol () to support unblacklisting when BLACR employs the express lane authentication. We also make a minor change to the express lane tokens to resist replay attack. © 2014 Springer International Publishing Switzerland.; Reputation-based anonymous blacklisting systems allow users to anonymously authenticate their identities with a service provider (SP) directly, while enabling the service provider to score users' misbehaviour and deny access from users with insufficient reputation, without the assistance of a Trusted Third Party (TTP). Au, Kapadia and Susilo's reputation-based anonymous blacklisting system BLACR is an elegant solution except for the linear computational overhead in the size of the reputation list. Therefore, they proposed a more practical strategy for BLACR that allows active users to authenticate in the express lane. However, the strategy disables BLACR's ability to perform unblacklisting since removing entries from the blacklist invalidates the reputation proofs of express lane tokens. Another problem of BLACR is that the express lane tokens can be reused (replay attack). In this paper, we propose ExBLACR, which provides a solution to the above problems. Our construction directly builds from BLACR and we present an improvement of weighted-score adjusting protocol () to support unblacklisting when BLACR employs the express lane authentication. We also make a minor change to the express lane tokens to resist replay attack. © 2014 Springer International Publishing Switzerland.
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/16602
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Wang, Weijin ,Feng, Dengguo ,Qin, Yu ,et al. ExBLACR: Extending BLACR system[C]. Springer Verlag,2014:397-412.
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