The Internet of Things(IoT)has become an integral part of daily life,making the protection of user privacy increasingly important.In gateway-based IoT systems,user data is transmitted through gateways to platforms,pus...The Internet of Things(IoT)has become an integral part of daily life,making the protection of user privacy increasingly important.In gateway-based IoT systems,user data is transmitted through gateways to platforms,pushing the data to various applications,widely used in smart cities,industrial IoT,smart farms,healthcare IoT,and other fields.Threshold Public Key Encryption(TPKE)provides a method to distribute private keys for decryption,enabling joint decryption by multiple parties,thus ensuring data security during gateway transmission,platform storage,and application access.However,existing TPKE schemes face several limitations,including vulnerability to quantum attacks,failure to meet Simulation-Security(SS)requirements,lack of verifiability,and inefficiency,which results in gateway-based IoT systems still being not secure and efficient enough.To address these challenges,we propose a Verifiable Simulation-Secure Threshold PKE scheme based on standard Module-LWE(VSSTPM).Our scheme resists quantum attacks,achieves SS,and incorporates Non-Interactive ZeroKnowledge(NIZK)proofs.Implementation and performance evaluations demonstrate that VSSTPM offers 112-bit quantum security and outperforms existing TPKE schemes in terms of efficiency.Compared to the ECC-based TPKE scheme,our scheme reduces the time cost for decryption participants by 72.66%,and the decryption verification of their scheme is 11 times slower than ours.Compared with the latest lattice-based TPKE scheme,our scheme reduces the time overhead by 90%and 48.9%in system user encryption and decryption verification,respectively,and their scheme is 13 times slower than ours in terms of decryption participants.展开更多
In the era of the Internet of Things(IoT),the ever-increasing number of devices connected to the IoT networks also increases the energy consumption on the edge.This is prohibitive since the devices living on the edge ...In the era of the Internet of Things(IoT),the ever-increasing number of devices connected to the IoT networks also increases the energy consumption on the edge.This is prohibitive since the devices living on the edge are generally resource constrained devices in terms of energy consumption and computational power.Thus,trying to tackle this issue,in this paper,a fully automated end-to-end IoT system for real time monitoring of the status of a moving vehicle is proposed.The IoT system consists mainly of three components:(1)the ultra-lowpower consumptionWireless SensorNode(WSN),(2)the IoT gateway and(3)the IoT platform.In this scope,a selfpoweredWSN having ultra-low energy consumption(less than 10 mJ),which can be produced by environmental harvesting systems,is developed.WSN is used for collecting sensors’measurements from the vehicle and transmitting them to the IoT gateway,by exploiting a low energy communication protocol(i.e.,BLE).A powerful IoT gateway gathers the sensors’measurements,harmonizes,stores temporary and transmits them wirelessly,to a backend server(i.e.,LTE).And finally,the IoT platform,which in essence is a web application user interface(UI),used mainly for almost real time visualization of sensors’measurements,but also for sending alerts and control signals to enable actuators,installed in the vehicle near to the sensors field.The proposed system is scalable and it can be adopted for monitoring a large number of vehicles,thus providing a fully automatic IoT solution for vehicle fleet management.Moreover,it can be extended for simultaneous monitoring of additional parameters,supporting other low energy communication protocols and producing various kinds of alerts and control signals.展开更多
基金supported by the National Key Research and Development Program of China(Grant No.2022YFB4400701)the National Natural Science Foundation of China(Nos.62202490,62202339,62172307,U21A20466)。
文摘The Internet of Things(IoT)has become an integral part of daily life,making the protection of user privacy increasingly important.In gateway-based IoT systems,user data is transmitted through gateways to platforms,pushing the data to various applications,widely used in smart cities,industrial IoT,smart farms,healthcare IoT,and other fields.Threshold Public Key Encryption(TPKE)provides a method to distribute private keys for decryption,enabling joint decryption by multiple parties,thus ensuring data security during gateway transmission,platform storage,and application access.However,existing TPKE schemes face several limitations,including vulnerability to quantum attacks,failure to meet Simulation-Security(SS)requirements,lack of verifiability,and inefficiency,which results in gateway-based IoT systems still being not secure and efficient enough.To address these challenges,we propose a Verifiable Simulation-Secure Threshold PKE scheme based on standard Module-LWE(VSSTPM).Our scheme resists quantum attacks,achieves SS,and incorporates Non-Interactive ZeroKnowledge(NIZK)proofs.Implementation and performance evaluations demonstrate that VSSTPM offers 112-bit quantum security and outperforms existing TPKE schemes in terms of efficiency.Compared to the ECC-based TPKE scheme,our scheme reduces the time cost for decryption participants by 72.66%,and the decryption verification of their scheme is 11 times slower than ours.Compared with the latest lattice-based TPKE scheme,our scheme reduces the time overhead by 90%and 48.9%in system user encryption and decryption verification,respectively,and their scheme is 13 times slower than ours in terms of decryption participants.
基金support from the European Union’s Horizon 2020 Research and Innovation Programme for project InComEss under Grant Agreement Number 862597.
文摘In the era of the Internet of Things(IoT),the ever-increasing number of devices connected to the IoT networks also increases the energy consumption on the edge.This is prohibitive since the devices living on the edge are generally resource constrained devices in terms of energy consumption and computational power.Thus,trying to tackle this issue,in this paper,a fully automated end-to-end IoT system for real time monitoring of the status of a moving vehicle is proposed.The IoT system consists mainly of three components:(1)the ultra-lowpower consumptionWireless SensorNode(WSN),(2)the IoT gateway and(3)the IoT platform.In this scope,a selfpoweredWSN having ultra-low energy consumption(less than 10 mJ),which can be produced by environmental harvesting systems,is developed.WSN is used for collecting sensors’measurements from the vehicle and transmitting them to the IoT gateway,by exploiting a low energy communication protocol(i.e.,BLE).A powerful IoT gateway gathers the sensors’measurements,harmonizes,stores temporary and transmits them wirelessly,to a backend server(i.e.,LTE).And finally,the IoT platform,which in essence is a web application user interface(UI),used mainly for almost real time visualization of sensors’measurements,but also for sending alerts and control signals to enable actuators,installed in the vehicle near to the sensors field.The proposed system is scalable and it can be adopted for monitoring a large number of vehicles,thus providing a fully automatic IoT solution for vehicle fleet management.Moreover,it can be extended for simultaneous monitoring of additional parameters,supporting other low energy communication protocols and producing various kinds of alerts and control signals.
