2014 10th International Conference on Information Assurance and Security最新文献

TWalker: An efficient taint analysis tool 一个有效的污染分析工具

2014 10th International Conference on Information Assurance and Security Pub Date : 2014-11-01 DOI: 10.1109/ISIAS.2014.7064628

Jinxin Ma, Puhan Zhang, Guowei Dong, Shuai Shao, Jiangxiao Zhang

引用次数: 9

Towards secure end-to-end data aggregation in AMI through delayed-integrity-verification 通过延迟完整性验证实现AMI中安全的端到端数据聚合

2014 10th International Conference on Information Assurance and Security Pub Date : 2014-11-01 DOI: 10.1109/ISIAS.2014.7064626

S. Keoh, Zhaohui Tang

{"title":"Towards secure end-to-end data aggregation in AMI through delayed-integrity-verification","authors":"S. Keoh, Zhaohui Tang","doi":"10.1109/ISIAS.2014.7064626","DOIUrl":"https://doi.org/10.1109/ISIAS.2014.7064626","url":null,"abstract":"The integrity and authenticity of the energy usage data in Advanced Metering Infrastructure (AMI) is crucial to ensure the correct energy load to facilitate generation, distribution and customer billing. Any malicious tampering to the data must be detected immediately. This paper introduces secure end-to-end data aggregation for AMI, a security protocol that allows the concentrators to securely aggregate the data collected from the smart meters, while enabling the utility back-end that receives the aggregated data to verify the integrity and data originality. Compromise of concentrators can be detected. The aggregated data is protected using Chameleon Signatures and then forwarded to the utility back-end for verification, accounting, and analysis. Using the Trapdoor Chameleon Hash Function, the smart meters can periodically send an evidence to the utility back-end, by computing an alternative message and a random value (m', r) such that m' consists of all previous energy usage measurements of the smart meter in a specified period of time. By verifying that the Chameleon Hash Value of (m', r) and that the energy usage matches those aggregated by the concentrators, the utility back-end is convinced of the integrity and authenticity of the data from the smart meters. Any data anomaly between smart meters and concentrators can be detected, thus indicating potential compromise of concentrators.","PeriodicalId":146781,"journal":{"name":"2014 10th International Conference on Information Assurance and Security","volume":"256 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114942167","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

Optimization of excerpt query process for Packet Attribution System 包归属系统摘录查询过程的优化

2014 10th International Conference on Information Assurance and Security Pub Date : 2014-11-01 DOI: 10.1109/ISIAS.2014.7064618

Shesha Shila Bharadwaj Renukuntla, Shatrunjay Rawat

{"title":"Optimization of excerpt query process for Packet Attribution System","authors":"Shesha Shila Bharadwaj Renukuntla, Shatrunjay Rawat","doi":"10.1109/ISIAS.2014.7064618","DOIUrl":"https://doi.org/10.1109/ISIAS.2014.7064618","url":null,"abstract":"Internet and its applications have increased to an enormous extent in the past decade. As the usage increased, it has also exposed its users to various security threats. Network forensic techniques can be used to traceback the source and the path of an attack that can be used as a legal evidence in a court of law. Packet attribution techniques like Source Path Isolation (SPIE), Block Bloom Filter (BBF), Hierarchical Bloom Filter (HBF) are proposed to store the packet data into the bloom filters at each router present in the network. All the routers in the Autonomous System (AS) are queried for presence of excerpt in their bloom filters to traceback source and path of attack. Upon receiving the excerpt query, each router search their bloom filters for presence of excerpt and send the result to NMS. NMS receives the response from routers and determines the traceback path from victim to source of attack. In this process, all the routers are engaged in searching the bloom filters, causing possible delay in performing actual routing tasks. This degrades network performance and may adversely affect QoS of network. To address potential performance issues, in this paper, we propose query optimization techniques, reducing the number of routers to be searched to a great extent, without adversely affecting storage and processing requirements as compared to existing attribution methods.","PeriodicalId":146781,"journal":{"name":"2014 10th International Conference on Information Assurance and Security","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128638555","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

Context-aware intrusion alerts verification approach 上下文感知的入侵警报验证方法

2014 10th International Conference on Information Assurance and Security Pub Date : 2014-11-01 DOI: 10.1109/ISIAS.2014.7064620

Sherif Saad, I. Traoré, Marcelo Luiz Brocardo

引用次数: 2

Cluster Head election in Wireless Sensor Networks 无线传感器网络中的簇头选举

2014 10th International Conference on Information Assurance and Security Pub Date : 2014-11-01 DOI: 10.1109/ISIAS.2014.7064625

Sara El-Refaay, Marianne A. Azer, Nashwa Abdelbaki

引用次数: 17

A novel psychovisual model on an independent video frame for an almost lossless compression 一种基于独立视频帧的几乎无损压缩的心理视觉模型

2014 10th International Conference on Information Assurance and Security Pub Date : 2014-11-01 DOI: 10.1109/ISIAS.2014.7064621

N. A. Abu, M. Ariffin

引用次数: 2

Improving Web Application Firewalls to detect advanced SQL injection attacks 改进Web应用防火墙以检测高级SQL注入攻击

2014 10th International Conference on Information Assurance and Security Pub Date : 2014-11-01 DOI: 10.1109/ISIAS.2014.7064617

Abdelhamid Makiou, Y. Begriche, A. Serhrouchni

引用次数: 39

Secure firmware architecture using virtual hard disks 使用虚拟硬盘的安全固件架构

2014 10th International Conference on Information Assurance and Security Pub Date : 2014-11-01 DOI: 10.1109/ISIAS.2014.7064622

J. Sim, Jungchan Na

引用次数: 0

Automatic generation of correlation rules to detect complex attack scenarios 自动生成关联规则，检测复杂攻击场景

2014 10th International Conference on Information Assurance and Security Pub Date : 2014-11-01 DOI: 10.1109/ISIAS.2014.7064615

E. Godefroy, Eric Totel, M. Hurfin, Frédéric Majorczyk

引用次数: 11

Extraction method of Region of Interest from hand palm: Application with contactless and touchable devices 手掌感兴趣区域的提取方法:在非接触和可触摸设备上的应用

2014 10th International Conference on Information Assurance and Security Pub Date : 2014-11-01 DOI: 10.1109/ISIAS.2014.7064624

Saliha Artabaz, K. Benatchba, M. Koudil, D. Nabil, A. Bouridane

{"title":"Extraction method of Region of Interest from hand palm: Application with contactless and touchable devices","authors":"Saliha Artabaz, K. Benatchba, M. Koudil, D. Nabil, A. Bouridane","doi":"10.1109/ISIAS.2014.7064624","DOIUrl":"https://doi.org/10.1109/ISIAS.2014.7064624","url":null,"abstract":"Palmprint is one of the modalities that offer high recognition accuracy. The recognition process depends on an optimized ROI (Region of Interest) extraction. This extraction is affected by several factors including the device used and the acquisition conditions. The acquisition mode can alter some image properties like rotation, translation and scale. Some devices are designed to maintain hand in a fixed position and delimit a subspace of the hand. On the other hand, contactless devices offer more convenience and flexibility but lead to altered images. ROI extraction methods must consider the acquisition device (with contact or contactless). In this paper, we propose a ROI extraction method that addresses this issue. We test our method on two databases PolyU and CASIA which illustrate the impact of using contactless device unlike the PolyU device. Then, we test performances of the palmprint biometric system. We use a Fisher Linear Discriminant projection (FLD) to extract features from ROI transformed into the frequency domain. Our proposed method can significantly cover a great portion of the palm in the two databases. Performances obtained with the proposed palmprint system are promising.","PeriodicalId":146781,"journal":{"name":"2014 10th International Conference on Information Assurance and Security","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125104069","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