2022 IEEE 8th International Conference on Computer and Communications (ICCC)最新文献_第6页

PPFP: An Efficient Privacy-Preserving Fair Payment Protocol for V2G Based on Blockchain PPFP:一种高效的基于区块链的V2G保密公平支付协议

2022 IEEE 8th International Conference on Computer and Communications (ICCC) Pub Date : 2022-12-09 DOI: 10.1109/ICCC56324.2022.10065714

Xiangqi Kong, Peng Zeng, Chengju Li

{"title":"PPFP: An Efficient Privacy-Preserving Fair Payment Protocol for V2G Based on Blockchain","authors":"Xiangqi Kong, Peng Zeng, Chengju Li","doi":"10.1109/ICCC56324.2022.10065714","DOIUrl":"https://doi.org/10.1109/ICCC56324.2022.10065714","url":null,"abstract":"Smart grid integrates communication and control technologies to enable optimal power transmission and distribution between grid operators and users. Vehicle-to-grid (V2G) is a crucial part of smart grid, which can realize two-way flow of information and electricity between electric vehicles (EV s) and smart grid. Each EV can not only charge itself, but also provide ancillary services such as feeding power back to smart grid. In order to function normally, V2G network has to continuously monitor the status of EV s by collecting enough information, which maybe lead to the exposure and malicious utilization of sensitive information like location and identity. This problem has become an obstacle to the widespread application of V2G network. In this paper, we propose an efficient privacy-preserving fair payment mechanism called PPFP for service/electricity exchanges. PPFP achieves the fairness by introducing the zero- knowledge succinct non-interactive argument of knowledge (zk- SNARK). In addition, PPFP satisfies the privacy-preserving feature by leveraging the bitcoin-based timed commitment and zk-SNARK.","PeriodicalId":263098,"journal":{"name":"2022 IEEE 8th International Conference on Computer and Communications (ICCC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116309723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Indoor NLOS Single Base Station Localization Algorithm Based on Scatterer Information 基于散射体信息的室内NLOS单基站定位算法

2022 IEEE 8th International Conference on Computer and Communications (ICCC) Pub Date : 2022-12-09 DOI: 10.1109/ICCC56324.2022.10065830

Ya Wang, Zenshan Tian, Ze Li, Sheng Li

{"title":"Indoor NLOS Single Base Station Localization Algorithm Based on Scatterer Information","authors":"Ya Wang, Zenshan Tian, Ze Li, Sheng Li","doi":"10.1109/ICCC56324.2022.10065830","DOIUrl":"https://doi.org/10.1109/ICCC56324.2022.10065830","url":null,"abstract":"Aiming at the localization problem of indoor Non-Line-of-Sight (NLOS) environment, a single base station localization algorithm based on scatterers information is proposed in this paper. Firstly, according to the priori information of indoor scene, the distribution range of scatterers is obtained. Secondly, the Time of Flight TOF (TOF) of a path is selected as a reference, the TOF of the remaining path subtract it to construct difference TOF, thus eliminating the phase error caused by asynchronous receiver and transmitter. At the same time, the location range of the scatterers is further determined according to the AOA of each path and the distribution range of the scatterers. Then, the nonlinear localization target equation is constructed by the difference TOF, and the equation is further transformed into a nonlinear least squares optimization problem. Finally, Genetic Algorithm (GA) was used to preliminarily locate the target, and the modified Gaussian Newton (G-N) algorithm was used to accurately locate the target; Simulation results show that this algorithm can effectively solve the problem of single station Localization in indoor NLOS environment.","PeriodicalId":263098,"journal":{"name":"2022 IEEE 8th International Conference on Computer and Communications (ICCC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123607232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Research on Multi-layer Power Enterprise Data Management Architecture Based on Big Data 基于大数据的电力企业多层数据管理体系结构研究

2022 IEEE 8th International Conference on Computer and Communications (ICCC) Pub Date : 2022-12-09 DOI: 10.1109/ICCC56324.2022.10065634

Wang Jijun, Chen Yongqiu, Cheng Li

{"title":"Research on Multi-layer Power Enterprise Data Management Architecture Based on Big Data","authors":"Wang Jijun, Chen Yongqiu, Cheng Li","doi":"10.1109/ICCC56324.2022.10065634","DOIUrl":"https://doi.org/10.1109/ICCC56324.2022.10065634","url":null,"abstract":"In view of the characteristics of current electric power data, such as massive, high dimensional and multi-source heterogeneous, to meet the development needs of electric power enterprises, a multi-layer power enterprise data management architecture based on big data is proposed in the paper on the basis of summarizing the concept, development status, major difficulties and challenges in the field of electric power data control. Firstly, a general mathematical model of data management and control architecture is established with reference to the characteristics of electric power data, and the key technologies of its data processing are described algorithmically. Then, after analyzing and referring to the idea of big data platform architecture construction, a multi-layer system architecture for data management and control of electric power enterprises is further proposed. The architecture is divided into three layers: infrastructure virtualization layer, cloud computing support platform layer and power data application layer, which truly realizes the integration of physical facilities, data resources and business applications in one while taking into account security. Finally, the possible future research directions in this field are summarized and prospected.","PeriodicalId":263098,"journal":{"name":"2022 IEEE 8th International Conference on Computer and Communications (ICCC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123695394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Computer-Aided System for COVID-19 Using Semi-supervised-based Ensemble Learning and Reinforcement Learning 基于半监督的集成学习和强化学习的COVID-19计算机辅助系统

2022 IEEE 8th International Conference on Computer and Communications (ICCC) Pub Date : 2022-12-09 DOI: 10.1109/ICCC56324.2022.10065813

Minghui Liu, Yi Yuan, Meiyi Yang, Hong-yu Pu, Xiaomin Wang, Meilin Liu

{"title":"Computer-Aided System for COVID-19 Using Semi-supervised-based Ensemble Learning and Reinforcement Learning","authors":"Minghui Liu, Yi Yuan, Meiyi Yang, Hong-yu Pu, Xiaomin Wang, Meilin Liu","doi":"10.1109/ICCC56324.2022.10065813","DOIUrl":"https://doi.org/10.1109/ICCC56324.2022.10065813","url":null,"abstract":"Coronavirus Disease 2019(COVID-19) has shocked the world with its rapid spread and enormous threat to life and has continued up to the present. In this paper, a computer-aided system is proposed to detect infections and predict the disease progression of COVID-19. A high-quality CT scan database labeled with time-stamps and clinicopathologic variables is constructed to provide data support. To our knowledge, it is the only database with time relevance in the community. An object detection model is then trained to annotate infected regions. Using those regions, we detect the infections using a model with semi-supervised-based ensemble learning and predict the disease progression depending on reinforcement learning. We achieve an mAP of 0.92 for object detection. The accuracy for detecting infections is 98.46%, with a sensitivity of 97.68%, a specificity of 99.24%, and an AUC of 0.987. Significantly, the accuracy of predicting disease progression is 90.32% according to the timeline. It is a state-of-the-art result and can be used for clinical usage.","PeriodicalId":263098,"journal":{"name":"2022 IEEE 8th International Conference on Computer and Communications (ICCC)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123940161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Password Guessing Attack Based on Probabilistic Context Free Algorithm 基于概率上下文无关算法的密码猜测攻击

2022 IEEE 8th International Conference on Computer and Communications (ICCC) Pub Date : 2022-12-09 DOI: 10.1109/ICCC56324.2022.10065766

Xuejing Jiang, Xun Sun, Qiuming Liu

{"title":"Password Guessing Attack Based on Probabilistic Context Free Algorithm","authors":"Xuejing Jiang, Xun Sun, Qiuming Liu","doi":"10.1109/ICCC56324.2022.10065766","DOIUrl":"https://doi.org/10.1109/ICCC56324.2022.10065766","url":null,"abstract":"Password is the primary way of identity authentication at present. The password security is closely related to more than 4 billion netizen all over the world. Password contains lots of semantic information, so how to extract the semantic of password and apply it to password guessing algorithm can further uncover the behavior preference of users in creating passwords, and improve the cracking rate of guessing attacks. We analyze the background and present situation of password security research, and determine the general steps and basic framework of password guessing algorithm based on natural language processing technology. We introduce the relevant preparatory knowledge and make statistical analysis on many password data sets. The popular password, password grammar, password pattern, character composition, length distribution, character distribution and semantic information of password data set are analyzed. We propose a password guessing algorithm based on probabilistic context free algorithm. The actual leaked password data set is selected for training and testing, and several groups of password guessing contrast experiments are set up. The results prove the effectiveness of proposed algorithm.","PeriodicalId":263098,"journal":{"name":"2022 IEEE 8th International Conference on Computer and Communications (ICCC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124003480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Practical Design Based on Deep Reinforcement Learning for RIS-Assisted mmWave MIMO Systems 基于深度强化学习的ris辅助毫米波MIMO系统的实用设计

2022 IEEE 8th International Conference on Computer and Communications (ICCC) Pub Date : 2022-12-09 DOI: 10.1109/ICCC56324.2022.10065758

Wangyang Xu, Jiancheng An, Lu Gan, H. Liao

引用次数: 0

A Parallelized Algorithm for Channel Estimation in mmWave Massive MIMO Communications 毫米波大规模MIMO通信中信道估计的并行化算法

2022 IEEE 8th International Conference on Computer and Communications (ICCC) Pub Date : 2022-12-09 DOI: 10.1109/ICCC56324.2022.10065999

Jiyan Zhang, Yu Xue, Jiale Wang, Yuan Qi

引用次数: 0

Lightweight Transformer Network and Self-supervised Task for Kinship Verification 轻量级变压器网络与亲属关系验证的自监督任务

2022 IEEE 8th International Conference on Computer and Communications (ICCC) Pub Date : 2022-12-09 DOI: 10.1109/ICCC56324.2022.10066034

Xiaoke Zhu, Yunwei Li, Danyang Li, Lingyun Dong, Xiaopan Chen

{"title":"Lightweight Transformer Network and Self-supervised Task for Kinship Verification","authors":"Xiaoke Zhu, Yunwei Li, Danyang Li, Lingyun Dong, Xiaopan Chen","doi":"10.1109/ICCC56324.2022.10066034","DOIUrl":"https://doi.org/10.1109/ICCC56324.2022.10066034","url":null,"abstract":"Kinship verification is one of the interesting and critical problems in computer vision research, with significant progress in the past decades. Meanwhile, Vision Transformer (VIT) has recently achieved impressive success in many domains, including object detection, image recognition, and semantic segmentation, among others. Most of the previous work on kinship verification are based on convolutional or recurrent neural networks. Compared with the local processing of images like convolutions, transformers can effectively understand and process images globally. However, due to overuse, there are many Transformer layers of fully connected layers, and VIT speed is still an issue. Therefore, in this paper, inspired by the recent success of Transformer models in vision tasks, we propose a Transformer-based kinship verification for training and optimizing kinship verification models. We first train the basic vision transformer (VIT-B) with 12 transformer layers, then we reduce the transformer layers to 6 layers, namely VIT-S (Small Vit) and 4 layers, namely VIT-T (Tiny Vit), to make a tradeoff between optimization accuracy and efficiency. As the first attempt to apply Transformer to the kinship verification task, it provides a feasible strategy for kinship research topics and verifies the effectiveness of the method in terms of the accuracy of the experimental results.","PeriodicalId":263098,"journal":{"name":"2022 IEEE 8th International Conference on Computer and Communications (ICCC)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124730850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Improved Multiscale Patch-Based Contrast Measure for Small Infrared Target Detection 一种改进的基于多尺度斑块的红外小目标检测对比度方法

2022 IEEE 8th International Conference on Computer and Communications (ICCC) Pub Date : 2022-12-09 DOI: 10.1109/ICCC56324.2022.10065630

Ye Tang, Kun Xiong, Chunxi Wang

引用次数: 1

A Multi-camera Vessel Trajectory Tracking System 多摄像头船舶轨迹跟踪系统

2022 IEEE 8th International Conference on Computer and Communications (ICCC) Pub Date : 2022-12-09 DOI: 10.1109/ICCC56324.2022.10065886

Qiuyu Lai, Jie Wang, Huajie Lu, Xinpeng Luo, Xiangyu Zhu, Jin Yu

引用次数: 0