Proceedings of the 2016 ACM International on Workshop on Traffic Measurements for Cybersecurity最新文献

It's Time for An Internet-wide Recommitment to Measurement: And Here's How We Should Do It 是时候在互联网范围内重新承诺测量了:我们应该这样做

Proceedings of the 2016 ACM International on Workshop on Traffic Measurements for Cybersecurity Pub Date : 2016-05-30 DOI: 10.1145/2903185.2903186

P. Vixie

{"title":"It's Time for An Internet-wide Recommitment to Measurement: And Here's How We Should Do It","authors":"P. Vixie","doi":"10.1145/2903185.2903186","DOIUrl":"https://doi.org/10.1145/2903185.2903186","url":null,"abstract":"There has never been a greater need for comprehensive Internet metrics than now. Even basic security-critical facts about the Internet, such as \"How many systems are botted?\" or \"What networks still don't do Source Address Validation?\" remain murky and poorly quantified. Likewise, traffic characterization and summary inter-AS flow data typically remain closely-held proprietary information, rather than routinely-shared basic operational data. Without trustworthy Internet measurements of this sort, we're \"driving blind\" and will routinely make suboptimal choices about critical technical policies, including issues as fundamental as network neutrality. System and network measurements were once an integral part of Internet practice, something that was hardly surprising given the Internet's roots in the university community. Scientists naturally make observations, record data, and analyze that data to document phenomena and advance the state-of-the-art. More recently, however, a variety of factors have created an online environment that's hostile to legitimate academic Internet measurement and monitoring efforts. Major drivers contribute to that public hostility, including overly-aggressive marketing analytics and domestic pervasive monitoring by the intelligence community. It all feels like eavesdropping to the public, even though important real differences exist and reforms have taken place. Bottom line, the public is having none of any of it.","PeriodicalId":308602,"journal":{"name":"Proceedings of the 2016 ACM International on Workshop on Traffic Measurements for Cybersecurity","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127278562","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: 3

Session details: Algorithms 会话详细信息:算法

Proceedings of the 2016 ACM International on Workshop on Traffic Measurements for Cybersecurity Pub Date : 2016-05-30 DOI: 10.1145/3254076

Maciej Korczyński

引用次数: 0

FNFD: A Fast Scheme to Detect and Verify Non-Technical Loss Fraud in Smart Grid 一种快速检测和验证智能电网非技术损失欺诈的方案

Proceedings of the 2016 ACM International on Workshop on Traffic Measurements for Cybersecurity Pub Date : 2016-05-30 DOI: 10.1145/2903185.2903188

Wenlin Han, Yang Xiao

引用次数: 23

Characterizing Roles and Spatio-Temporal Relations of C&C Servers in Large-Scale Networks 大规模网络中C&C服务器的角色与时空关系表征

Proceedings of the 2016 ACM International on Workshop on Traffic Measurements for Cybersecurity Pub Date : 2016-05-30 DOI: 10.1145/2903185.2903192

Romain Fontugne, J. Mazel, K. Fukuda

引用次数: 1

Session details: Measurements of Security, Attacks, and Fraud 会话细节:安全度量、攻击和欺诈

Proceedings of the 2016 ACM International on Workshop on Traffic Measurements for Cybersecurity Pub Date : 2016-05-30 DOI: 10.1145/3254075

M. van Eeten

引用次数: 0

A High Performance IPv6 Flow Table Lookup Algorithm Based on Hash 一种基于Hash的高性能IPv6流表查找算法

Proceedings of the 2016 ACM International on Workshop on Traffic Measurements for Cybersecurity Pub Date : 2016-05-30 DOI: 10.1145/2903185.2903187

Huan Guo, Zhengmin Li, Qingyun Liu, Jia Li, Zhou-yu Zhou, Bo Sun

引用次数: 1

An Efficient Method for Detecting Obfuscated Suspicious JavaScript Based on Text Pattern Analysis 一种基于文本模式分析的可疑JavaScript混淆检测方法

Proceedings of the 2016 ACM International on Workshop on Traffic Measurements for Cybersecurity Pub Date : 2016-05-30 DOI: 10.1145/2903185.2903189

Jiawei Su, K. Yoshioka, Junji Shikata, Tsutomu Matsumoto

引用次数: 5

Fast and Accurate Identification of Active Recursive Domain Name Servers in high-speed Network 高速网络中主动递归域名服务器的快速准确识别

Proceedings of the 2016 ACM International on Workshop on Traffic Measurements for Cybersecurity Pub Date : 2016-05-30 DOI: 10.1145/2903185.2903190

Xiaomei Liu, Yong Sun, Caiyun Huang, Xueqiang Zou, Zhiguang Qin

{"title":"Fast and Accurate Identification of Active Recursive Domain Name Servers in high-speed Network","authors":"Xiaomei Liu, Yong Sun, Caiyun Huang, Xueqiang Zou, Zhiguang Qin","doi":"10.1145/2903185.2903190","DOIUrl":"https://doi.org/10.1145/2903185.2903190","url":null,"abstract":"Fast and accurate identification of active recursive domain name servers (RDNS) is a fundamental step to evaluate security risk degrees of DNS systems. Much identification work have been proposed based on network traffic measurement technology. Even though identifying RDNS accurately, they waste huge network resources, and fail to obtain host activity and distinguish between direct and indirect RDNS. In this paper, we proposed an approach to identify direct and forward RDNS based on our three key insights on their request-response behaviors, and proposed an approach to identify indirect RDNS based on CNAME redirect behaviors. To work in high-speed backbone networks, we further proposed an online connectivity estimation algorithm to obtain estimated values used in our identification approaches. According to our experiments, we can identify RDNS with a high accuracy by selecting the reasonable thresholds. The accuracy of identifying direct and forward RDNS can reach 89%.The accuracy of identifying indirect RDNS can reach 90%.Moreover, our work is capable of real-time analyzing high speed backbone traffics.","PeriodicalId":308602,"journal":{"name":"Proceedings of the 2016 ACM International on Workshop on Traffic Measurements for Cybersecurity","volume":"41 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114029947","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

Image Processing Pipeline Model Integrating Steganographic Algorithms for Mobile Cameras 集成隐写算法的移动相机图像处理流水线模型

Proceedings of the 2016 ACM International on Workshop on Traffic Measurements for Cybersecurity Pub Date : 2016-05-30 DOI: 10.1145/2903185.2903191

P. Dahal, D. Peng, H. Sharif

{"title":"Image Processing Pipeline Model Integrating Steganographic Algorithms for Mobile Cameras","authors":"P. Dahal, D. Peng, H. Sharif","doi":"10.1145/2903185.2903191","DOIUrl":"https://doi.org/10.1145/2903185.2903191","url":null,"abstract":"Mobile phones these days are extensively used to capture and share multimedia right from the device without the basic security processing like watermarking. This necessitates the need for multimedia to be watermarked right within the mobile hardware for copyright protection and authentication. In this paper, we propose an image processing pipelining model for mobile cameras that integrates watermarking algorithm with the image capturing processes in cameras. Differently from existing works reported in literature, the unique contribution in this paper is to have image watermarked while in the early capturing process. In other words, the processes for digital image capturing and watermarking have become as a single non-separable procedure in the camera hardware systems. The paper proposes watermarking raw image data before it becomes display ready within the image capturing process. Also, the watermarking algorithm used to develop the model, without losing generality, caters to the computational efficiency requirement for mobile devices while being robust against image coding at the same time. Simulations results demonstrate that the proposed approach is robust against JPEG compression.","PeriodicalId":308602,"journal":{"name":"Proceedings of the 2016 ACM International on Workshop on Traffic Measurements for Cybersecurity","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114667087","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

Proceedings of the 2016 ACM International on Workshop on Traffic Measurements for Cybersecurity 2016年ACM国际网络安全流量测量研讨会论文集

Proceedings of the 2016 ACM International on Workshop on Traffic Measurements for Cybersecurity Pub Date : 1900-01-01 DOI: 10.1145/2903185

引用次数: 0