Secur. Commun. Networks最新文献_第6页

Efficient Privacy-Preserving Data Aggregation Scheme with Fault Tolerance in Smart Grid 智能电网中一种高效的容错数据聚合方案

Secur. Commun. Networks Pub Date : 2022-01-25 DOI: 10.1155/2022/5895176

Yang Ming, Yabin Li, Yi Zhao, Pengfei Yang

{"title":"Efficient Privacy-Preserving Data Aggregation Scheme with Fault Tolerance in Smart Grid","authors":"Yang Ming, Yabin Li, Yi Zhao, Pengfei Yang","doi":"10.1155/2022/5895176","DOIUrl":"https://doi.org/10.1155/2022/5895176","url":null,"abstract":"As the traditional grid produces a large amount of greenhouse gas and cannot adapt to such new demands as dynamic electricity prices, data analysis, and early warning, smart grid with high efficiency and reliability is increasingly valued. It plays a key role in achieving carbon neutrality. Nonetheless, smart grid requires the collection of real-time power data, and personal privacy may be leaked through the frequent electricity measurement reports. With the requirements of data analysis and prediction while preserving users’ personal privacy, data aggregation schemes have emerged. However, existing schemes cannot resolve all the troubles well. Some schemes do not consider the failures for smart meters, and most of the schemes have expensive computation cost. In view of this, an efficient privacy-preserving data aggregation scheme with fault tolerance in smart grid is put forward in this paper. To be specific, the proposed scheme is lightweight due to the application of the symmetric homomorphic encryption technology and the elliptic curve cryptography. Even if some smart meters are destroyed, the proposed scheme can still successfully obtain aggregated data. Moreover, the proposed data aggregation scheme is proved to be secure, and all security requirements can be satisfied. Performance evaluation illustrates the relatively low computation cost and communication overhead of the proposed scheme compared to other related schemes.","PeriodicalId":167643,"journal":{"name":"Secur. Commun. Networks","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124080826","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

Proliferation of Cyber Situational Awareness: Today's Truly Pervasive Drive of Cybersecurity 网络态势感知的扩散:当今网络安全真正无处不在的驱动力

Secur. Commun. Networks Pub Date : 2022-01-25 DOI: 10.1155/2022/6015253

Hafiz Muhammad Jamsheed Nazir, Weihong Han

{"title":"Proliferation of Cyber Situational Awareness: Today's Truly Pervasive Drive of Cybersecurity","authors":"Hafiz Muhammad Jamsheed Nazir, Weihong Han","doi":"10.1155/2022/6015253","DOIUrl":"https://doi.org/10.1155/2022/6015253","url":null,"abstract":"Situation awareness (SA) issues necessitate a comprehension of present activities, the ability to forecast, what will happen next, and strategies to assess the threat or impact of current internet activities and projections. These SA procedures are universal, domain-independent and can be used to detect cyber intrusions. This study introduces cyber situation awareness (CSA), its origin, conception, aim, and characteristics based on an analysis of function shortages and development requirements. Furthermore, we discussed the CSA research framework and examined the research history, which is the essential aspect, and assessed the present issues of the research as well. The assessment approaches were divided into three methods: mathematics model, knowledge reasoning, and pattern recognition. The study then goes into detail regarding the core idea, assessment procedure, strengths, and weaknesses of novel approaches, and then, it addresses CSA from three perspectives: model, knowledge representation, and assessment methods. Many common approaches are contrasted, and current CSA application research in the realms of security, transmission, survivability, and system evaluation is discussed. Finally, this study summarized the findings of the present from technical and application systems, outlined CSA’s future development directions, and provided adversary activities and information that can be used to improve an organization’s SA operations.","PeriodicalId":167643,"journal":{"name":"Secur. Commun. Networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126111723","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: 4

Lightweight Statistical Approach towards TCP SYN Flood DDoS Attack Detection and Mitigation in SDN Environment SDN环境下TCP SYN Flood DDoS攻击检测与缓解的轻量级统计方法

Secur. Commun. Networks Pub Date : 2022-01-25 DOI: 10.1155/2022/2593672

S. Batool, Farrukh Zeeshan Khan, Syed Qaiser Ali Shah, Muneer Ahmed, Roobaea Alroobaea, Abdullah M. Baqasah, Ihsan Ali, M. A. Raza

{"title":"Lightweight Statistical Approach towards TCP SYN Flood DDoS Attack Detection and Mitigation in SDN Environment","authors":"S. Batool, Farrukh Zeeshan Khan, Syed Qaiser Ali Shah, Muneer Ahmed, Roobaea Alroobaea, Abdullah M. Baqasah, Ihsan Ali, M. A. Raza","doi":"10.1155/2022/2593672","DOIUrl":"https://doi.org/10.1155/2022/2593672","url":null,"abstract":"Distributed Denial of Service (DDoS) attack is known to be one of the most lethal attacks in traditional network architecture. In this attack, the attacker uses botnets to overwhelm network resources. Botnets can be randomly compromised computers or IoT devices that are used to generate excessive traffic towards the victim, and as a result, legitimate users cannot access the services. In this research, software-defined networking (SDN) has been suggested as a solution to fight DDoS attacks. SDN uses the idea of centralized control and segregation of the data plane from the control plane. SDN is more flexible, and policy implementation on the centralized controller is easy. SDN is now being widely used in modern network paradigms because it has enhanced security. In this work, an entropy-based statistical approach has been suggested to detect and mitigate TCP SYN flood DDoS attacks. The proposed algorithm uses a three-phased detection scheme to minimize the false-positive rate. Entropy, standard deviation, and weighted moving average have been used for intrusion detection. Multiple experiments were performed, and the results show that the suggested approach is more reliable and lightweight and has a minimal false-positive rate.","PeriodicalId":167643,"journal":{"name":"Secur. Commun. Networks","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127710407","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: 5

Invoice Detection and Recognition System Based on Deep Learning 基于深度学习的发票检测与识别系统

Secur. Commun. Networks Pub Date : 2022-01-25 DOI: 10.1155/2022/8032726

Xunfeng Yao, Hao Sun, Sijun Li, Wei Lu

{"title":"Invoice Detection and Recognition System Based on Deep Learning","authors":"Xunfeng Yao, Hao Sun, Sijun Li, Wei Lu","doi":"10.1155/2022/8032726","DOIUrl":"https://doi.org/10.1155/2022/8032726","url":null,"abstract":"With the development of economy and information technology, a large amount of invoice information has been produced. As one of the important components of the industrial Internet of Things, the recognition of invoice information is urgent to realize its intelligent recognition. Most invoice issuing units basically adopt traditional manual identification methods for the processing of invoices. As the number of invoices increases, problems such as low efficiency in identifying invoice information, error-prone, and difficulty in ensuring security frequently appear. In response to the above problems, this paper designs and implements an invoice information recognition system based on deep learning. The system first solves the problems of low image contrast and lack of image due to poor lighting or noise effects by image preprocessing methods such as image graying and normalization. Second, a target detection and invoice recognition method based on the combination of YOLOv3 + CRNN two models is proposed, and an end-to-end invoice information recognition model is obtained. Finally, the model is used to develop an invoice detection and recognition system based on deep learning. Experiments have verified that the system has the characteristics of high recognition accuracy and high efficiency, which can accurately identify invoice content information and reduce the loss of manpower and material resources.","PeriodicalId":167643,"journal":{"name":"Secur. Commun. Networks","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131735151","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

Application of Computer-Aided Graphic Design in Enterprise Image 计算机辅助平面设计在企业形象中的应用

Secur. Commun. Networks Pub Date : 2022-01-24 DOI: 10.1155/2022/6206434

Shenmin Zhang

引用次数: 0

Fully Secure ID-Based Signature Scheme with Continuous Leakage Resilience 具有连续防泄漏能力的全安全id签名方案

Secur. Commun. Networks Pub Date : 2022-01-24 DOI: 10.1155/2022/8220259

Qihong Yu, Jiguo Li, S. Ji

引用次数: 7

A Personalized Recommendation System for English Teaching Resources Based on Multi-K Nearest Neighbor Regression Algorithm 基于多k最近邻回归算法的英语教学资源个性化推荐系统

Secur. Commun. Networks Pub Date : 2022-01-24 DOI: 10.1155/2022/7077123

Yan Tang, Yang Yu

{"title":"A Personalized Recommendation System for English Teaching Resources Based on Multi-K Nearest Neighbor Regression Algorithm","authors":"Yan Tang, Yang Yu","doi":"10.1155/2022/7077123","DOIUrl":"https://doi.org/10.1155/2022/7077123","url":null,"abstract":"In order to ensure the quality of resource recommendation and solve the problems of low recommendation accuracy, long recommendation time, and high data loss rate in the process of resource recommendation in traditional methods, a personalized recommendation system of English teaching resources based on the multi-K nearest neighbor regression algorithm is designed. According to the overall architecture of the personalized recommendation system of teaching resources, this study designs the resource browsing function module, teaching resource detailed page recommendation module, and teaching resource database. Based on the basic idea of the multi-K nearest neighbor regression algorithm, in order to avoid the loss of important data in English teaching resource recommendation and reduce the data loss rate, a missing data reconstruction algorithm of English teaching resources is proposed. Finally, the path interest of student users is considered from the selection of browsing path and access time to realize the personalized recommendation of English teaching resources. The experimental results show that the system has high resource recommendation accuracy, short recommendation time, and low data loss rate.","PeriodicalId":167643,"journal":{"name":"Secur. Commun. Networks","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124023675","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: 4

Correlation Analysis of Population Educational Structure and Program Audience Share Based on Multisample Regression for Correction 基于多样本回归校正的人口教育结构与节目收视率相关性分析

Secur. Commun. Networks Pub Date : 2022-01-24 DOI: 10.1155/2022/5437816

Jingyuan Chen, Han Wu

{"title":"Correlation Analysis of Population Educational Structure and Program Audience Share Based on Multisample Regression for Correction","authors":"Jingyuan Chen, Han Wu","doi":"10.1155/2022/5437816","DOIUrl":"https://doi.org/10.1155/2022/5437816","url":null,"abstract":"In order to solve the problem of mismatch of supply and demand of TV programs in different regions, this article attempts to start with the influencing factors of the demand structure of programs and explore ways to improve or solve this problem of mismatch of supply and demand. The population needs to accurately correlate with the TV program, and educational structure is mainly taken into consideration. The objective of this study is to analyze the correlation between the population’s educational structure and the share of program rating using sampling of population. The method of multisample regression is used with the combination and derives the conclusion that the educational structure of the population has a significant impact on the share of program ratings. The proposed method introduces the population and the share of program ratings as explanatory variables and explained variables into the regression model to verify whether the educational structure of the population will affect the share of program ratings. Both the full-sample benchmark regression and robustness test results show that the educational structure of the population does affect the show’s viewing share. The impact is mainly manifested in the difference in the impact of the proportion of the population of different educational backgrounds on the audience share of the same type of program. In order to increase the effective supply of programs, each region should arrange programs according to local conditions, and the presentation of programs should reflect stepped characteristics.","PeriodicalId":167643,"journal":{"name":"Secur. Commun. Networks","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124608177","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

Decentralized, Privacy-Preserving, Single Sign-On 去中心化，隐私保护，单点登录

Secur. Commun. Networks Pub Date : 2022-01-22 DOI: 10.1155/2022/9983995

Omid Mir, Michael Roland, R. Mayrhofer

{"title":"Decentralized, Privacy-Preserving, Single Sign-On","authors":"Omid Mir, Michael Roland, R. Mayrhofer","doi":"10.1155/2022/9983995","DOIUrl":"https://doi.org/10.1155/2022/9983995","url":null,"abstract":"In current single sign-on authentication schemes on the web, users are required to interact with identity providers securely to set up authentication data during a registration phase and receive a token (credential) for future access to services and applications. This type of interaction can make authentication schemes challenging in terms of security and availability. From a security perspective, a main threat is theft of authentication reference data stored with identity providers. An adversary could easily abuse such data to mount an offline dictionary attack for obtaining the underlying password or biometric. From a privacy perspective, identity providers are able to track user activity and control sensitive user data. In terms of availability, users rely on trusted third-party servers that need to be available during authentication. We propose a novel decentralized privacy-preserving single sign-on scheme through the Decentralized Anonymous Multi-Factor Authentication (DAMFA), a new authentication scheme where identity providers no longer require sensitive user data and can no longer track individual user activity. Moreover, our protocol eliminates dependence on an always-on identity provider during user authentication, allowing service providers to authenticate users at any time without interacting with the identity provider. Our approach builds on threshold oblivious pseudorandom functions (TOPRF) to improve resistance against offline attacks and uses a distributed transaction ledger to improve availability. We prove the security of DAMFA in the universal composibility (UC) model by defining a UC definition (ideal functionality) for DAMFA and formally proving the security of our scheme via ideal-real simulation. Finally, we demonstrate the practicability of our proposed scheme through a prototype implementation.","PeriodicalId":167643,"journal":{"name":"Secur. Commun. Networks","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122369361","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

iReTADS: An Intelligent Real-Time Anomaly Detection System for Cloud Communications Using Temporal Data Summarization and Neural Network 基于时间数据汇总和神经网络的云通信智能实时异常检测系统

Secur. Commun. Networks Pub Date : 2022-01-22 DOI: 10.1155/2022/9149164

G. S. Lalotra, Vinod Kumar, Abhishek Bhatt, Tianhua Chen, M. Mahmud

{"title":"iReTADS: An Intelligent Real-Time Anomaly Detection System for Cloud Communications Using Temporal Data Summarization and Neural Network","authors":"G. S. Lalotra, Vinod Kumar, Abhishek Bhatt, Tianhua Chen, M. Mahmud","doi":"10.1155/2022/9149164","DOIUrl":"https://doi.org/10.1155/2022/9149164","url":null,"abstract":"A new distributed environment at less financial expenditure on communication over the Internet is presented by cloud computing. In recent times, the increased number of users has made network traffic monitoring a difficult task. Although traffic monitoring and security problems are rising in parallel, there is a need to develop a new system for providing security and reducing network traffic. A new method, iReTADS, is proposed to reduce the network traffic using a data summarization technique and also provide network security through an effective real-time neural network. Although data summarization plays a significant role in data mining, still no real methods are present to assist the summary evaluation. Thus, it is a serious endeavor to present four metrics for data summarization with temporal features such as conciseness, information loss, interestingness, and intelligibility. In addition, a new metric time is also introduced for effective data summarization. Finally, a new neural network known as Modified Synergetic Neural Network (MSNN) on summarized datasets for detecting the real-time anomaly-behaved nodes in network and cloud is introduced. Experimental results reveal that the iReTADS can effectively monitor traffic and detect anomalies. It may further drive studies on controlling the outbreaks and controlling pandemics while studying medical datasets, which results in smart healthy cities.","PeriodicalId":167643,"journal":{"name":"Secur. Commun. Networks","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126082619","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: 6