2012 Third International Conference on Emerging Security Technologies最新文献_第3页

An ICMetrics Based Lightweight Security Architecture Using Lattice Signcryption 一种基于ICMetrics的使用点阵签名加密的轻量级安全体系结构

2012 Third International Conference on Emerging Security Technologies Pub Date : 2012-09-05 DOI: 10.1109/EST.2012.43

Ruhma Tahir, K. Mcdonald-Maier

{"title":"An ICMetrics Based Lightweight Security Architecture Using Lattice Signcryption","authors":"Ruhma Tahir, K. Mcdonald-Maier","doi":"10.1109/EST.2012.43","DOIUrl":"https://doi.org/10.1109/EST.2012.43","url":null,"abstract":"The advent of embedded systems has completely transformed the information landscape. With the explosive growth in the use of interactive real-time technologies, this internet landscape aims to support an even broader range of application domains. The large amount of data that is exchanged by these applications has made them an attractive target for attacks. Thus it is important to employ security mechanisms to protect these systems from attackers. A major challenge facing researchers is the resource constrained nature of these systems, which renders most of the traditional security mechanisms almost useless. In this paper we propose a lightweight ICmetrics based security architecture using lattices. The features of the proposed architecture fulfill both the requirements of security as well as energy efficiency. The proposed architecture provides authentication, confidentiality, non-repudiation and integrity of data. Using the identity information derived from ICmetrics of the device, we further construct a sign cryption scheme based on lattices that makes use of certificate less PKC to achieve the security requirements of the design. This scheme is targeted on resource constrained environments, and can be used widely in applications that require sufficient levels of security with limited resources.","PeriodicalId":314247,"journal":{"name":"2012 Third International Conference on Emerging Security Technologies","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128349513","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: 7

Improving Resilience Against Node Capture Attacks in Wireless Sensor Networks Using ICmetrics 利用ICmetrics提高无线传感器网络抗节点捕获攻击的弹性

2012 Third International Conference on Emerging Security Technologies Pub Date : 2012-09-05 DOI: 10.1109/EST.2012.44

Ruhma Tahir, K. Mcdonald-Maier

引用次数: 22

Computation of Cross-Coupling for Reliable System Operation 系统可靠运行的交叉耦合计算

2012 Third International Conference on Emerging Security Technologies Pub Date : 2012-09-05 DOI: 10.1109/EST.2012.10

H. Kadim, L. M. Coulibaly

引用次数: 1

Detection and Classification of Repetitious Human Motions Combining Shift Variant and Invariant Features 结合移变与不变特征的重复人体动作检测与分类

2012 Third International Conference on Emerging Security Technologies Pub Date : 2012-09-05 DOI: 10.1109/EST.2012.7

I. Ide, Takumi Kuhara, Daisuke Deguchi, Tomokazu Takahashi, H. Murase

引用次数: 2

Thermal Face Recognition: A Fusion Approach 热人脸识别:一种融合方法

2012 Third International Conference on Emerging Security Technologies Pub Date : 2012-09-05 DOI: 10.1109/EST.2012.24

Stepán Mrácek, J. Váňa, M. Drahanský, R. Dvořák, S. Yanushkevich

引用次数: 4

Liveness Detection Using Gaze Collinearity 使用凝视共线性的活体检测

2012 Third International Conference on Emerging Security Technologies Pub Date : 2012-09-05 DOI: 10.1109/EST.2012.12

Asad Ali, F. Deravi, Sanaul Hoque

引用次数: 36

EKF Based Mobile Robot Localization 基于EKF的移动机器人定位

2012 Third International Conference on Emerging Security Technologies Pub Date : 2012-09-05 DOI: 10.1109/EST.2012.19

Ling Chen, Huosheng Hu, K. Mcdonald-Maier

引用次数: 18

Identity Management and Integrity Protection in the Internet of Things 物联网中的身份管理与完整性保护

2012 Third International Conference on Emerging Security Technologies Pub Date : 2012-09-05 DOI: 10.1109/EST.2012.15

A. Fongen

引用次数: 29

On the Effectiveness of EEG Signals as a Source of Biometric Information 脑电信号作为生物特征信息源的有效性研究

2012 Third International Conference on Emerging Security Technologies Pub Date : 2012-09-05 DOI: 10.1109/EST.2012.8

Su Yang, F. Deravi

引用次数: 20

Understanding Familiar Face Recognition for 3D Scanned Images: The Importance of Internal and External Facial Features 了解熟悉的人脸识别的3D扫描图像:内部和外部面部特征的重要性

2012 Third International Conference on Emerging Security Technologies Pub Date : 2012-09-05 DOI: 10.1109/EST.2012.36

Anna Williams, H. Chang, C. Frowd

{"title":"Understanding Familiar Face Recognition for 3D Scanned Images: The Importance of Internal and External Facial Features","authors":"Anna Williams, H. Chang, C. Frowd","doi":"10.1109/EST.2012.36","DOIUrl":"https://doi.org/10.1109/EST.2012.36","url":null,"abstract":"Clay or computerised facial reconstructions are often presented to the public for recognition without information about the external features of a head (hair, ears and neck) as these are thought to be potentially distracting or even misleading. In this context, the mechanisms of face recognition are poorly understood, but existing research using photographs of familiar faces suggests that external features play an important role for recognition, and external features may even be necessary for recognition to occur at all. The current research aimed to determine the contribution that external features make to the recognition of a familiar face rendered in 3D. It will also determine whether the inclusion or exclusion of external features from a reconstruction is likely to be beneficial. Volunteers were asked to name images of 3D faces of people known to them, presented as either full face 3D surface scans, or where the internal or external features had been removed. As was expected, a clear correlation was found between information presented in the scans and the recognition rate, with participants correctly naming full face images most often and images of external features least often. Logistic regression analysis demonstrated a significant linear trend in recognition rate in the order of external features, internal features and full face. Incorrect naming also increased linearly, indicating that participants were more likely to offer a name (correct or otherwise) when more useful facial information was provided.","PeriodicalId":314247,"journal":{"name":"2012 Third International Conference on Emerging Security Technologies","volume":"604 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134600466","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