2019 3rd Cyber Security in Networking Conference (CSNet)最新文献

Cloud-based Sybil Attack Detection Scheme for Connected Vehicles 基于云的网联车辆Sybil攻击检测方案

2019 3rd Cyber Security in Networking Conference (CSNet) Pub Date : 2019-10-01 DOI: 10.1109/CSNet47905.2019.9108923

Anika Anwar, Talal Halabi, Mohammad Zulkernine

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引用次数: 5

Going Beyond the Blockchain Hype: In Which Cases are Blockchains Useful for IT Applications? 超越区块链炒作:区块链在哪些情况下对IT应用有用?

2019 3rd Cyber Security in Networking Conference (CSNet) Pub Date : 2019-10-01 DOI: 10.1109/CSNet47905.2019.9108966

Nour El Madhoun, Julien Hatin, E. Bertin

引用次数: 5

Efficient Block replication to optimize the blockchain resources 高效块复制，优化区块链资源

2019 3rd Cyber Security in Networking Conference (CSNet) Pub Date : 2019-10-01 DOI: 10.1109/CSNet47905.2019.9108973

El-hacen Diallo, Alexandre Laubé, K. A. Agha, Steven Martin

引用次数: 0

CSNet 2019 Committees

2019 3rd Cyber Security in Networking Conference (CSNet) Pub Date : 2019-10-01 DOI: 10.1109/csnet47905.2019.9108922

引用次数: 0

Managing Effective Collaboration in Cybersecurity Alliances Using Social Computational Trust 利用社会计算信任管理网络安全联盟中的有效协作

2019 3rd Cyber Security in Networking Conference (CSNet) Pub Date : 2019-10-01 DOI: 10.1109/CSNet47905.2019.9108949

A. Deljoo, R. Koning, T. Engers, L. Gommans, C. D. Laat

引用次数: 1

Social Consensus-inspired Aggregation Algorithms for Edge Computing 基于社会共识的边缘计算聚合算法

2019 3rd Cyber Security in Networking Conference (CSNet) Pub Date : 2019-10-01 DOI: 10.1109/CSNet47905.2019.9108947

Firas Al-Doghman, Z. Chaczko, Wayne Brookes, L. C. Gordon

{"title":"Social Consensus-inspired Aggregation Algorithms for Edge Computing","authors":"Firas Al-Doghman, Z. Chaczko, Wayne Brookes, L. C. Gordon","doi":"10.1109/CSNet47905.2019.9108947","DOIUrl":"https://doi.org/10.1109/CSNet47905.2019.9108947","url":null,"abstract":"The current interest about the *nternet of Things (IoT) evokes the establishment of infinite services giving huge, active, and varied information sets. Within it, an enormous mass of heterogeneous data are generated and interchanged by billions of device which can yield to an enormous information traffic jam and affects network efficiency. To get over this issue, there’s a necessity for an effective, smart, distributed, and in-network technique that uses a cooperative effort to aggregate data along the pathway from the network edge to its sink. we tend to propose an information organization blueprint that systematizes data aggregation and transmission within the bounds of the Edge domain from the front-end until the Cloud. A social consensus technique obtained by applying statistical analysis is employed within the blueprint to get and update a policy concerning a way to aggregate and transmit data according to the order of information consumption inside the network. The Propose technique, consensus Aggregation, uses statistical Machine Learning to consolidate the approach and appraise its performance. inside the normal operation of the approach, data aggregation is performed with the utilization of data distribution. A notable information delivery efficiency was obtained with a nominal loss in precision as the blueprint was tested inside a particular environment as a case study. The conclusion of the strategy showed that the consensus approach overcome the individual ones in several directions.","PeriodicalId":350566,"journal":{"name":"2019 3rd Cyber Security in Networking Conference (CSNet)","volume":"876 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134218703","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

Phishing Attacks: Detecting and Preventing Infected E-mails Using Machine Learning Methods 网络钓鱼攻击:使用机器学习方法检测和防止受感染的电子邮件

2019 3rd Cyber Security in Networking Conference (CSNet) Pub Date : 2019-10-01 DOI: 10.1109/CSNet47905.2019.9108961

Diego Oña, Lenín Zapata, Walter Fuertes, Germán E. Rodríguez, Eduardo Benavides, T. Toulkeridis

引用次数: 6

TAG: Topological Attack Graph Analysis Tool 标签:拓扑攻击图分析工具

2019 3rd Cyber Security in Networking Conference (CSNet) Pub Date : 2019-10-01 DOI: 10.1109/CSNet47905.2019.9108979

M. Malowidzki, Damian Hermanowski, P. Berezinski

引用次数: 1

Physical Layer Security for 5G Wireless Networks: A Comprehensive Survey 5G无线网络物理层安全:综合调查

2019 3rd Cyber Security in Networking Conference (CSNet) Pub Date : 2019-10-01 DOI: 10.1109/CSNet47905.2019.9108955

José David Vega Sánchez, L. Urquiza-Aguiar, M. C. Paredes

引用次数: 14

Hashing-based authentication for CAN bus and application to Denial-of-Service protection 基于哈希的CAN总线认证及其在拒绝服务防护中的应用

2019 3rd Cyber Security in Networking Conference (CSNet) Pub Date : 2019-10-01 DOI: 10.1109/CSNet47905.2019.9108978

O. Cros, Gabriel Chênevert

引用次数: 5