Invention Grant
US08402263B2 Privacy-preserving probabilistic inference based on hidden Markov models
有权
基于隐马尔可夫模型的隐私保护概率推理
- Patent Title: Privacy-preserving probabilistic inference based on hidden Markov models
- Patent Title (中): 基于隐马尔可夫模型的隐私保护概率推理
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Application No.: US13076424Application Date: 2011-03-31
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Publication No.: US08402263B2Publication Date: 2013-03-19
- Inventor: Wei Sun , Shantanu Rane
- Applicant: Wei Sun , Shantanu Rane
- Applicant Address: US MA Cambridge
- Assignee: Mitsubishi Electric Research Laboratories, Inc.
- Current Assignee: Mitsubishi Electric Research Laboratories, Inc.
- Current Assignee Address: US MA Cambridge
- Agent Gene Vinokur; Dirk Brinkman
- Main IPC: H04L29/06
- IPC: H04L29/06

Abstract:
A most likely sequence of states corresponding to an observation sequence stored at a client is determined securely with respect to a HMM stored at a server. An encryption of a log-probability of the current element of the observation sequence is determined for each state of the HMM. A product of an encryption of the log-probability of the state for the current element, an encryption of a transition probability to the state, and the encryption of a log-probability of the current element of the observation sequence is determined iteratively, for each state of the HMM, to produce an encrypted matrix of indexes of the states; and the encrypted matrix is transmitted to the client.
Public/Granted literature
- US20120254606A1 Privacy-Preserving Probabilistic Inference Based on Hidden Markov Models Public/Granted day:2012-10-04
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