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检索条件"任意字段=Proceedings of the 5th ACM Conference on Data and Application Security and Privacy"

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Efficient data gathering in intermittent connected mobile sensor networks

Efficient data gathering in intermittent connected mobile se...

引用

5th IEEE International conference on Intelligent Networking and Collaborative Systems, INCoS 2013

作者： Xiong, Yongping Wu, Shizhong Zhang, Tao Deng, Yubo Chen, Shiwu China Information Technology Security Evaluation Center Beijing China

ISBN: (纸本)9780769549880

Intermittent Connected Mobile Sensor Networks (ICMSN) have emerged in recent studies, e.g. underwater sensor networks, wildlife tracking and human-oriented flu virus monitoring. In these networks, conventional routing protocols in WSN are not suitable for data gathering application in ICMSN since packets will be dropped when no complete route to the sink is available. In this paper, we propose an efficient data gathering scheme for ICMSN, which is composed of forwarding protocol and buffer management. Message forwarding makes decision on which sensors are qualified for next hop based on nodal delivery probability, which signifies the likelihood that the sensor can deliver the message to the sink successfully based on the nodal mobility pattern and residual energy. Buffer management consists of two related components: queuing mechanism and purging mechanism. the former determines priority of messages to transmit based on the importance factor, which indicates importance of the messages and QoS requirement of transmission. the latter utilizes a death vector generated by the sink to purge useless messages that have been delivered from the network. Our experimental results show that the proposed data gathering scheme supports the different transmission requirement of messages and achieves the good performance tradeoff between delivery ratio, delay and resource consumption. © 2013 IEEE.

关键词： Delay tolerant networks

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application research of improved FUP algorithm in network security linkage system

Application research of improved FUP algorithm in network se...

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2013 5th International conference on Computational and Information Sciences, ICCIS 2013

作者： Cheng, Xiaorong Cao, Lipu School of Control and Computer Engineering North China Electric Power University Baoding China

ISBN: (纸本)9780769550046

Association rules are an important branch of data mining. Aiming at the update maintenance problem of association rules when increase the database data while keep the minimum support unchanged, on the basis of FUP algorithm, this paper proposes a matrix-based incremental association rules mining algorithm, namely MBFUP algorithm. the algorithm just scans the database once, and doesn't produce candidate item sets, greatly reduces the space complexity and time complexity of the algorithm. © 2013 IEEE.

关键词： Association rules

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5th International conference on Safety and security Engineering, SAFE 2013

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5th International conference on Safety and security Engineering, SAFE 2013

ISBN: (纸本)9781845647445

the proceedings contain 76 papers. the special focus in this conference is on Safety and security Engineering. the topics include: A tool for intelligent budget allocation of prevention measures related to major accidents;general approach to risk optimisation of road bridges exposed to accidental situations;conceptual design of a crime regulatory system for Mexico;flood risk assessment and management;a new knowledge-based risk control method for risk sensitive devices;a unified framework for safety and security assessment in critical infrastructures;a model to facilitate the development of an appropriate risk assessment methodology and instrument for crowd safety at outdoor music festivals;planning approach to risk mitigation;evaluation of coefficients for an energy security indicators system;unmanned aerial vehicle for post seismic and other hazard scenarios;limits and opportunities of risk analysis application in railway systems;nitrogen gas spillage in a confined space located in the Gran Sasso underground nuclear physics laboratory;risk management and its methodological support in the performance economy;processing of large amounts of data on a credit scoring example using neural network technology;revision of town planning in the pioverna basin by the use of a multidisciplinary study to identify flood-prone areas;stereoscopic displays for air traffic control;a statistical look at gender and age differences as related to the injury crash type on low-volume roads;the analysis of unconscious action as a dangerous factor and the promotion of risk aversion action;risk perception in emergency planning environments;support system for the training of crisis management group members;sustainable safety management;optical fiber sensors as the primary element in the protection of critical infrastructure especially in optoelectronic transmission lines;multispectral solutions in surveillance systems;multisensor system for the protection of a critical harbour infrastructure;a

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Image processing based on statistical phase correlation algorithm

Image processing based on statistical phase correlation algo...

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2013 5th International conference on Computational and Information Sciences, ICCIS 2013

作者： Chen, Guangxuan Du, Yanhui Zhang, Lei Qin, Panke People's Public Security University of China Beijing China Academy of Logistics Beijing China Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9780769550046

the contribution of computer graphics in geophysics mainly embodies on the application of scientific computing visualization. In order to obtain the structural features and spatial distribution of various types of stratigraphic structure surface, it is necessary to carry out visual analysis on gigantic seismic data. However, the process of signal-noise separation requires enormous operations before structuring the energy function, that make the numerical realization of high accuracy velocity analysis method more complicated and time-consuming. In this paper, we proposed the statistical phase correlation based high resolution velocity spectrum numerical analyzing method. then, we adopt computer graphics technology and Qt visual programming technology realized the algorithm and put it into practice. As can be known from the result, this method can bring more focused stack velocity spectrum with more economical computation cost, and the resolution is improved greatly. © 2013 IEEE.

关键词： Image processing

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privacy POLICY COMPOSITION OF privacy-AWARE RBAC MODEL FOR COMPOSITE WEB SERVICES

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2013 5th IEEE International conference on Broadband Network & Multimedia Technology

作者： Danfeng YAN Yuan TIAN Beijing University of Posts and Telecommunications

ISBN: (纸本)9781479900961

privacy has been acknowledged to be a critical requirement for composite services. In the previous research, we have introduced a privacy-preserving access model, but have no chance to detail the specifying of privacy policies for a composite service. However, the privacy policies in the services should be consistent with each other, and it decides the feasibility and effectiveness of the model. therefore, this paper proposes a privacy policy composition mechanism that uses the existing policies of the atomic services. through the definition of policies in the model, the rules to create the user profile and data profile have been derived and the profile samples are given. In the end, an application example is shown to explain that how to use the profiles in the composition engine of the model and then give the implementation of the approach.

关键词： privacy protection Web services composition Policy composition Services security

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privacy Control in Cloud VM File Systems

Privacy Control in Cloud VM File Systems

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IEEE International conference on Cloud Computing Technology and Science (CloudCom)

作者： Stéphane Betgé-Brezetz Guy-Bertrand Kamga Marie-Pascale Dupont Aoues Guesmi Alcatel-Lucent Bell Labs Nozay France

Cloud Computing offers great benefits such as reduced IT costs and an improved business agility. Nevertheless, enterprises are still hesitant to put their sensitive data in the cloud as they notably fear privacy issues (e.g., violation of country-based regulations regarding the storage location of a sensitive data). In this context, this paper presents the demonstration of a privacy control technology that allows to protect sensitive files stored, processed, and moved in an IaaS cloud. In our approach, the privacy control is performed within the file system of the Virtual Machines (VM) and allows to control the access done by any application to each sensitive file. It notably covers business applications (e.g., provided by the cloud user) and system applications such as FTP (e.g., to prevent the transfer of a sensitive file in a not authorized country). Moreover, our technology allows to generate tamper-proof traces for any action performed on a sensitive file. In the demonstration, we then also show how the cloud user has a full view of the usage of his sensitive files (e.g., number of copies, storage locations, performed actions). Finally, the demonstration shows these different capabilities through a scenario of file access and cross-country transfer in a multi-platform cloud environment.

关键词： Cloud computing File systems data privacy privacy security Fuses Prototypes

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Design of SMS commanded-and-controlled and P2P-structured mobile botnets 12

Design of SMS commanded-and-controlled and P2P-structured mo...

引用

5th acm conference on security and privacy in Wireless and Mobile Networks, WiSec'12

作者： Zeng, Yuanyuan Shin, Kang G. Hu, Xin Perimeter E-Security Raleigh NC United States University of Michigan Ann Arbor MI United States IBM Research Hawthorne NY United States

ISBN: (纸本)9781450312653

Botnets are one of the most serious security threats to the Internet and personal computer (PC) users. Although botnets have not yet caused major outbreaks in the mobile world, with the rapidly-growing popularity of smartphones such as Apple's iPhone and Android-based phones that store more personal data and gain more capabilities than earliergeneration handsets, botnets are expected to become a severe threat to smartphones soon. In this paper, we propose the design of a mobile botnet that makes the most of mobile services and is resilient to disruption. the mobile botnet utilizes SMS messages for C&C and a P2P structure as its topology. Our simulation results demonstrate that a modified Kademlia-a structured architecture-is a better choice for the mobile botnet's topology. In addition, we discuss potential countermeasures to defend against this mobile botnet threat. Copyright 2012 acm.

关键词： Smartphones

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Private communication detection: A stochastic approach 12

Private communication detection: A stochastic approach

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5th acm conference on security and privacy in Wireless and Mobile Networks, WiSec'12

作者： Jong, Chang-Han Gligor, Virgil D. ECE Department University of Maryland College Park MD 20742 United States ECE Department and CyLab Carnegie Mellon University Pittsburgh PA 15213 United States

ISBN: (纸本)9781450312653

Private communication detection (PCD) enables an ordinary network user to discover communication patterns (e.g., call time, length, frequency, and initiator) between two or more private parties. Ordinary users have neither eavesdropping capabilities (e.g., the network may employ strong anonymity measures) nor legal authority (e.g., collection of call records-without any voice/data content-requires "national security letters") to collect privatecommunication records. Analysis of communication patterns between private parties has historically been a powerful tool used by intelligence, military, law-enforcement and business organizations as it can reveal the strength of tie between these parties. In this paper, we show that PCD is possible by ordinary users merely by sending packets to various network end-nodes (e.g., WiFi nodes) and analyzing the timing of their responses. We show that timing side channels, which are caused by distinct resource-contention responses when different applications run in end nodes, enable effective PCD despite network and proxy-generated noise (e.g., jitter, delays). We use a stochastic analysis to demonstrate how PCD exploits indirectly accessible, remote end-node resources, such as WiFi radio channels and computer keyboards in Instant Messaging. Similar analysis enables practical Sybil node detection. Copyright 2012 acm.

关键词： data privacy

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Unsafe exposure analysis of mobile in-app advertisements 12

Unsafe exposure analysis of mobile in-app advertisements

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5th acm conference on security and privacy in Wireless and Mobile Networks, WiSec'12

作者： Grace, Michael Zhou, Wu Jiang, Xuxian Sadeghi, Ahmad-Reza Department of Computer Science North Carolina State University Raleigh NC United States Center for Advanced Security Research Technical University Darmstadt Darmstadt Germany

ISBN: (纸本)9781450312653

In recent years, there has been explosive growth in smartphone sales, which is accompanied with the availability of a huge number of smartphone applications (or simply apps). End users or consumers are attracted by the many interesting features offered by these devices and the associated apps. the developers of these apps benefit financially, either by selling their apps directly or by embedding one of the many ad libraries available on smartphone platforms. In this paper, we focus on potential privacy and security risks posed by these embedded or in-app advertisement libraries (henceforth "ad libraries," for brevity). To this end, we study the popular Android platform and collect 100,000 apps from the official Android Market in March-May, 2011. Among these apps, we identify 100 representative in-app ad libraries (embedded in 52.1% of the apps) and further develop a system called AdRisk to systematically identify potential risks. In particular, we first decouple the embedded ad libraries from their host apps and then apply our system to statically examine the ad libraries for risks, ranging from uploading sensitive information to remote (ad) servers to executing untrusted code from Internet sources. Our results show that most existing ad libraries collect private information: some of this data may be used for legitimate targeting purposes (i.e., the user's location) while other data is harder to justify, such as the user's call logs, phone number, browser bookmarks, or even the list of apps installed on the phone. Moreover, some libraries make use of an unsafe mechanism to directly fetch and run code from the Internet, which immediately leads to serious security risks. Our investigation indicates the symbiotic relationship between embedded ad libraries and host apps is one main reason behind these exposed risks. these results clearly show the need for better regulating the way ad libraries are integrated in Android apps. Copyright 2012 acm.

关键词： Smartphones

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Frequent itemsets mining in network traffic data

Frequent itemsets mining in network traffic data

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2012 5th International conference on Intelligent Computation Technology and Automation, ICICTA 2012

作者： Li, Xin Zheng, Xuefeng Li, Jingchun Wang, Shaojie School of Information Engineering University of Science and Technology Beijing China National Research Center for Information Technology Security Beijing China

ISBN: (纸本)9780769546377

Many projects have tried to analyze the structure and dynamics of application overlay networks on the Internet using packet analysis and network flow data. While such analysis is essential for a variety of network management and security tasks, it is difficult on many networks: either the volume of data is so large as to make packet inspection intractable, or privacy concerns forbid packet capture and require the dissociation of network flows from users' actual IP addresses. In this paper, an algorithm for mining privacy preserving itemsets is proposed. On the one hand, only maximal itemset is considered, which reduces the number of itemsets greatly. On the other hand, the intermediate mining results are encrypted for the security concern. Experimental results show that the proposed algorithm is both accurate and efficient. © 2012 IEEE.

关键词： data mining

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