Abstract: Disclosed is a method for constructing an auditable and privacy-preserving collaborative deep learning platform based on a blockchain-empowered incentive mechanism, which allows trainers of multiple similar models to cooperate for training deep learning models while protecting confidentiality and auditing correctness of shared parameters. The invention has the following technical effects. Firstly, the encryption method used by model trainers protects the confidentiality of sharing parameters; furthermore, the updated parameters are decrypted through the cooperation of all participants, which reduces the possible disclosure of parameters. Secondly, the encrypted parameters are stored in the blockchain, and are only available to participants and authorized miners who are responsible to update parameters.

Abstract: Disclosed is a method for constructing an emergency reporting system of vehicle networking based on multi-signatures, which comprises the following steps: initializing an emergency reporting system to obtain a public-private key pair and pre-calculation parameters of a vehicle set; obtaining authentication information of the emergency based on the public-private key pair and the pre-calculation parameters; integrating the authentication information to obtain multi-signatures of the emergency; and completing the system construction by regulating a traffic state based on the multi-signatures. The method realizes the efficient signature generation function of the vehicle with limited computing resources, reduces the communication pressure and computing pressure of roadside units, and may effectively prevent the common rogue key attacks in other schemes.

Abstract: Disclosed is a method for constructing an emergency reporting system of vehicle networking based on multi-signatures, which comprises the following steps: initializing an emergency reporting system to obtain a public-private key pair and pre-calculation parameters of a vehicle set; obtaining authentication information of the emergency based on the public-private key pair and the pre-calculation parameters; integrating the authentication information to obtain multi-signatures of the emergency; and completing the system construction by regulating a traffic state based on the multi-signatures. The method realizes the efficient signature generation function of the vehicle with limited computing resources, reduces the communication pressure and computing pressure of roadside units, and may effectively prevent the common rogue key attacks in other schemes.

Abstract: With the popularity of Blockchain comes grave security-related concerns. Achieving privacy and traceability simultaneously remains an open question. Efforts have been made to address the issues, while they may subject to specific scenarios. The present disclosure proposes a method, a system, and a device for maintaining privacy and traceability of a Blockchain-based system. The method includes: registering in a Blockchain-based system; transmitting a message from a transmitter T to a receiver R via an anonymous network, after a registration request of the transmitter T has been approved and storing message transmission data generated during a message transmission process in a Blockchain; and performing an identity disclosure by using the message transmission data when the message is detected to be false. The anonymous network may transmit the message by onion routing. The solution proposed by the present disclosure can achieve traceability and privacy for a Blockchain-based system simultaneously.

Abstract: A method for pairing a plurality of devices in the context of internet of things (IoT), including: connecting power supplies of the plurality of devices to a same power source, wherein the plurality of devices includes an initiator device and a responder device; synchronizing clocks of the initiator device and the responder device; switching the power source off and on for a plurality of times n; recording time stamps S(T)={T1, T2, T3, . . . Tn} corresponding to time stamps when the initiator device and the responder device switch off in response to switching off of the power source; and performing the pairing of the initiator device and the responder device if each of the initiator device time stamps is within a predefined delay tolerance of a corresponding time stamp of the responder device time stamps, otherwise rejecting the pairing of the initiator device and the responder device.

Abstract: A method of digital forensics based on blockchain technology and a fine-grained access control scheme, using a finite state machine (FSM) based on smart contracts to manage a digital certificate, where a law enforcement agency ends the warrant request to a court and upon approval of the request collects the forensics data by obtaining the master secret key for accessing the forensic data from a plurality of authorities. The forensics data are encrypted by D-KP-ABE (Distributed Key Police Attribute-based Encryption) with privacy-preserved access policy. The secret sharings are required to form the decryption key for accessing the forensics data. The secret sharings are distributed among the plurality of authorized authorities so that no individual authority has a complete master key by itself. Each state of the FSM requires digital signature(s) of at least one specific authorized authority for transitioning to a next state.

Abstract: A method for pairing a plurality of devices in the context of internet of things (IoT), including: connecting power supplies of the plurality of devices to a same power source, wherein the plurality of devices includes an initiator device and a responder device; synchronizing clocks of the initiator device and the responder device; switching the power source off and on for a plurality of times n; recording time stamps S(T)={T1, T2, T3, . . . Tn} corresponding to time stamps when the initiator device and the responder device switch off in response to switching off of the power source; and performing the pairing of the initiator device and the responder device if each of the initiator device time stamps is within a predefined delay tolerance of a corresponding time stamp of the responder device time stamps, otherwise rejecting the pairing of the initiator device and the responder device.

Abstract: A method of digital forensics based on blockchain technology and a fine-grained access control scheme, using a finite state machine (FSM) based on smart contracts to manage a digital certificate, where a law enforcement agency ends the warrant request to a court and upon approval of the request collects the forensics data by obtaining the master secret key for accessing the forensic data from a plurality of authorities. The forensics data are encrypted by D-KP-ABE (Distributed Key Police Attribute-based Encryption) with privacy-preserved access policy. The secret sharings are required to form the decryption key for accessing the forensics data. The secret sharings are distributed among the plurality of authorized authorities so that no individual authority has a complete master key by itself. Each state of the FSM requires digital signature(s) of at least one specific authorized authority for transitioning to a next state.

Abstract: With the popularity of Blockchain comes grave security-related concerns. Achieving privacy and traceability simultaneously remains an open question. Efforts have been made to address the issues, while they may subject to specific scenarios. The present disclosure proposes a method, a system, and a device for maintaining privacy and traceability of a Blockchain-based system. The method includes: registering in a Blockchain-based system; transmitting a message from a transmitter T to a receiver R via an anonymous network, after a registration request of the transmitter T has been approved and storing message transmission data generated during a message transmission process in a Blockchain; and performing an identity disclosure by using the message transmission data when the message is detected to be false. The anonymous network may transmit the message by onion routing. The solution proposed by the present disclosure can achieve traceability and privacy for a Blockchain-based system simultaneously.

Abstract: Disclosed is a method for constructing an auditable and privacy-preserving collaborative deep learning platform based on a blockchain-empowered incentive mechanism, which allows trainers of multiple similar models to cooperate for training deep learning models while protecting confidentiality and auditing correctness of shared parameters. The invention has the following technical effects. Firstly, the encryption method used by model trainers protects the confidentiality of sharing parameters; furthermore, the updated parameters are decrypted through the cooperation of all participants, which reduces the possible disclosure of parameters. Secondly, the encrypted parameters are stored in the blockchain, and are only available to participants and authorized miners who are responsible to update parameters.