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RISS 인기검색어
- 검색키워드
- 저자 : ( Samaneh Mashhadi ) (검색결과 3 건)
- 무료
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- 유료
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Analysis of Warrant Attacks on Some Threshold Proxy Signature Schemes
Mashhadi, Samaneh Korea Information Processing Society 2016 Journal of information processing systems Vol.12 No.2
In 2004, Yang et al. proposed a threshold proxy signature scheme that efficiently reduced the computational complexity of previous schemes. In 2009, Hu and Zhang presented some security leakages of Yang's scheme and proposed an improvement to eliminate the security leakages that had been pointed out. In this paper, we will point out that both Yang and Hu's schemes still have some security weaknesses, which cannot resist warrant attacks where an adversary can forge valid proxy signatures by changing the warrant $m_w$. We also propose two secure improvements for these schemes.
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Analysis of Warrant Attacks on Some Threshold Proxy Signature Schemes
( Samaneh Mashhadi ) 한국정보처리학회 2016 Journal of information processing systems Vol.12 No.2
In 2004, Yang et al. proposed a threshold proxy signature scheme that efficiently reduced the computational complexity of previous schemes. In 2009, Hu and Zhang presented some security leakages of Yang’s scheme and proposed an improvement to eliminate the security leakages that had been pointed out. In this paper, we will point out that both Yang and Hu’s schemes still have some security weaknesses, which cannot resist warrant attacks where an adversary can forge valid proxy signatures by changing the warrant m_{w}. We also propose two secure improvements for these schemes.
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Robust Near Optimal Sub-Motions for Differentially-Driven Mobile Robots
Mohammadhassan Behroozi,Khalil Alipour,Behrouz Mashhadi,Samaneh Arabi 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
In the present study, the main concern regarding application requirements was to devise and introduce a motion planning method to guarantee system robustness against uncertainties due to any disturbances or inaccuracies in the system dynamics. The robot motion planning has been divided in two different problems: path planning and velocity planning. In the former, use was made of a odular”path planner, each module consisting of pure displacement and pure rotation. In the latter, the velocity planning problem was transformed into an integrated planning and control one. Care is taken for energy being conserved as much as possible within each module of the path. Since an open-loop optimal control may suffer from the lack of robustness, and owing to the fact that the two-point-boundary-value problem that it leads to may not be solvable, a Neural Network system has been introduced to close the control loop. The Ritz method as a direct approach in the calculus of variations is proposed to train the neural network, thus introducing a robust closed-loop control. In this study, optimization of the sub-motions of the total motion was addressed. Furthermore, a combination of optimal Ritz-based method and neural network was suggested as a robust motion planning approach for differentially-driven mobile robots.
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