摘要:In the current increasingly competitive international cyberspace security game,critical information infrastructure is facing a severe security situation.From the view of scientific principle,the essence of network security risk is the limitation of people’s cognitive logic of information science.It is impossible to build a solid network defense system,and it is not necessarily cost-effective from the view of economic benefits.In network security work,the most important thing is the convergence of security objectives.The key is to ensure that the logical combination of computing tasks is not tampered with or destroyed,and to achieve correct calculation.Focusing on this security goal,scientific and technological innovations were made in such aspects as logical correct verification theory,computing architecture and application mode of computing engineering.The problem that logical defects were not exploited by attackers was solved,a unity of offensive and defensive contradictions was formed,and the active immunity capability for information systems was established.
关键词:critical information infrastructure;network security;trusted computing;active immunization
摘要:Intent driven network (IDN) is an emerging network technology.With its advantages in intent translation,closed-loop verification and automate deployment,it has become another revolutionary network technology after software-defined network (SDN).Aiming at the problem of weak scalability,difficult data management and poor security performance in the current development of the Internet of things,the SDN-based intent driven Internet of things was proposed,and the north-south interface and other key technologies were introduced.Aiming at the consistency problem of multi-intention northbound interface,an intentional-conflict decomposition strategy was proposed,which is proved to be effective by simulation.
关键词:intent driven Internet of things;software-defined network;internet of things;intent driven network
摘要:Wireless sensor networks(WSN) connectivity is an important way to ensure network fault tolerance.Conventional multi-routing algorithms often have common paths,which will lead to premature connectivity failure of the whole WSN due to node damage,communication link interruption and other faults.Aiming at the common path problem,a solution was proposed to generate multiple paths on the common path through node splitting to support fault tolerance of WSN and ensure that each sensor node has K disjoint shortest paths of bounded length to the sinks.The simulation results show that the algorithm can provide better fault tolerance and ensure network connectivity.
摘要:Short-term traffic flow prediction in intelligent transportation system can provide data support in areas such as route planning,traffic management,public safety and so on.In order to improve the prediction accuracy with missing and abnormal data,a short-term traffic flow prediction method based on the adaptive rank dynamic tensor analysis was proposed.Firstly,a four dimensional tensor consisted of week,day,time and space was constructed,which could excavate the multimodal correlation of traffic flow data.Secondly,tensor flow data with dynamic structure was formed by using sliding window model.The principal component analysis (PCA) algorithm was extended to an offline tensor analysis algorithm that could accept tensor input.Then the adaptive rank and the forgetting factor were introduced to generate an adaptive rank dynamic tensor analysis algorithm.Finally,the tensor stream data was inputted into the adaptive rank dynamic tensor analysis algorithm to realize the short-term traffic flow prediction.The experimental results show that a good prediction can be achieved even with data missing.
关键词:short-term traffic flow prediction;data missing;dynamic tensor analysis;multimodal information
摘要:Crowd sensing is a promising sensing paradigm,which mainly uses a variety of embedded sensors in a large number of mobile devices to accomplish data sensing tasks.One of the key issues in crowd sensing is how to effectively coordinate mobile device users to perform multiple sensory tasks simultaneously.By introducing a new data layer between the sensing task and the user,the similarity of the sensing task and the heterogeneity of the user were effectively utilized,and the joint task selection and user scheduling problems were established on the data layer,aiming at maximizing the social welfare of the whole system.This problem was difficult to solve due to its combinatorial nature and the presence of private information on both the sensing tasks and the users.In order to deal with these problems,a two-sided randomized auction mechanism was proposed,and it was proved that it can satisfy the desirable properties of the computational efficiency,the individual rationality,and the incentive compatibility in expectation.The simulation results show that the proposed stochastic auction mechanism can achieve nearly optimal social welfare,and the social welfare benefits brought by data reuse will increase significantly with the enhancement of task similarity.
摘要:In the existing research on resource allocation in wireless energy and data transmission,the impact of battery capacity on throughput under multi-user scenarios is not considered.A robust resource allocation algorithm was proposed to optimize throughput and solve the problem that a single model could not reasonably allocate resources in real world network scenarios due to large differences in battery capacity.In addition,a connection between multi-user selection and slot allocation was found,and a joint optimization algorithm of multi-user selection and slot allocation under the constraint of power was proposed.The simulation results show that the proposed algorithm has better throughput performance and is more suitable for wireless data and energy transmission network.
关键词:data and energy integrated communication network (DEIN);internet of things;resource allocation;multiuser selection
摘要:Mobile devices with limited computing power and resources can offload intensive tasks to the cloud for execution,thus improving the computing capacity of mobile devices and reducing battery energy consumption.However,the existing researches cannot properly balance the application finish time and energy consumption of the mobile terminal when offloading tasks.An MOEA/D based algorithm was proposed to optimize the application finish time and energy consumption,and dynamic voltage frequency scaling technology was introduced into the MOEA/D to adjust the CPU clock frequency of mobile devices to further decrease the energy consumption without increasing the application finish time.The simulation results demonstrate that the proposed algorithm outperforms a number of existing algorithm in terms of the multi-objective performance.
摘要:The new Wi-Fi standard,named IEEE~802.11ah or Wi-Fi HaLow,is considered as a very promising technology for the Internet of things (IoT),aiming to support large-scale IoT networks in an energy-efficient manner.It is mainly to be used for IoT scenarios,such as smart homes,digital health care,connected cars,industrial process control,logistics &asset management,smart cities,agriculture & environmental sensors,etc.An overview of the IEEE 802.11ah technology and its recent development were provided.The key features were explored,demonstrating that IEEE 802.11ah is suitable for its target use cases.Moreover,a comprehensive summary and analysis of the related work were conducted.Finally,identifies several open research issues that need to be addressed to fully realize the vision of large-scale and low power Wi-Fi networks for the IoT were discussed.
关键词:IEEE 802.11ah (HaLow);internet of things;large scale;low power
摘要:With the development of autonomous driving and vehicular network,more and more vehicles will have powerful computing capabilities and connection with each other via wireless network.These computing resources can not only be applied to automatic driving,but also provide a wide range of edge computing services.Aiming at the task offloading among vehicles,a distributed task offloading algorithm based on online learning was proposed to minimize the average offloading delay.Furthermore,a system-level simulation platform was built to evaluate the impact of vehicle density and number of tasks on the average offloading delay in both highway and urban scenarios.The results provide a reference for the resource allocation and deployment of task offloading in different traffic situations.
关键词:Internet of vehicles;Veins;computation task offloading;system level simulation
摘要:Traditional image-based activity recognition algorithms have some problems,such as high computational cost,numerous blind spots and easy privacy leakage.To solve the problem above,the CCLA (convolution-convolutional long short-term memory-attention) activity recognition algorithm based on the acceleration and gyroscope data was proposed.The convolutional neural network was used to extract spatial features of activity data and got the hidden time series information from the convolutional long short-term memory network.Simulating human brain selecting attention mechanism,attention-encoder was constructed to extract the spatial and temporal features at a higher level.The CCLA algorithm was tested on UCI-HAPT (university of California Irvine-smartphone-based recognition of human activities and postural transitions) public data set,and realized the classification of 12 types of activity with the accuracy of 93.27%.
关键词:neural network;activity recognition;attention mechanism;wireless body area network (WBAN)
摘要:The highly efficient network resources are provided by multi-access edge computing at the edge of the network,but high security capability is required also due to its distributed position and organization.Based on mimic defense theory,mimic defense structure for distributed multi-access edge computing was proposed.By segmenting data,padding check data and processing data at multiple edge node,dynamic scheduling and decision-making functions according to checksum were implemented.The simulation results show that with the increase of delay cost,the data manipulation and leak rates can be reduced effectively by the proposed structure.The edge node scheduling strategy based on trust and cost is proposed to improve the efficiency and security of the system.
摘要:Aiming at the problem of single detection function,higher cost and lower detection efficiency and reliability for current pedestrian detection,which was mostly realized by vehicle mounted equipment,a pedestrian detection technology based on smart road was proposed.By deploying a large number of low-cost,highly reliable Internet of things devices on the road,real-time detection of pedestrian information in the surrounding environment was realized.Early warning information can be provided to vehicles with very low latency wireless communication technology,which can improve road safety.At present,the prototype of the pedestrian detection system has been developed,and verified by field test,the pedestrian detection system can detect pedestrians effectively.Within the detection range of 4 meters,the accuracy of single device can reach 80%,and the accuracy of multiple cross-deployed devices can reach 100%.
关键词:smart road;Internet of Things (IoT);pedestrian detection;prototype
摘要:The IFTTT style event-driven programming paradigm benefits normal users to build their own customized home automation Internet of things (IoT) system,meanwhile,it also brings serious safety and security risks.To handle this problem,Menshen was designed and implemented,an automated configuration,simulation and verification platform for event-driven home automation IoT system based on model checking.Users can easily set up their own smart home systems in Menshen,and conduct simulation and verification in a push-button style.Menshen could further demonstrate the error trace to help users to understand the behavior of the system and increase the safety and security of the system.An experiment with a large number of cases is carried out,and the results show that 86.7% cases are error-prone,and the verification only took 0.7 seconds in average.
关键词:internet of things;IFTTT framework;system security;model checking
摘要:New flexible electronic materials and devices have been developed rapidly in nearly a decade from the proposition,discovery,implementation to application.The impact of its strong fold ability and multi-capacity composite structures to technological development and system applications will be enormous.Two mainstream flexible implementation methods were compared:the material-induced flexibility and the structure-induced flexibility.The research progress of domestic and international in related fields was analyzed,including infrastructure,process and potential application directions,and the technical problems faced were summarized.According to the basic research status,flexible electronic devices will have mature application technology innovations achievements in the next few years,new and unprecedented wearable communication,wearable computing,distributed energy,environmental sensing,conformal display devices and devices will be formed.
关键词:flexible electronic;wearable device;electronic device;flexible material