The Experts below are selected from a list of 129966 Experts worldwide ranked by ideXlab platform

Sy-yen Kuo - One of the best experts on this subject based on the ideXlab platform.

  • examining web based spyware invasion with stateful Behavior Monitoring
    Pacific Rim International Symposium on Dependable Computing, 2007
    Co-Authors: Sy-yen Kuo
    Abstract:

    Spyware infection that exploits the vulnerabilities of client-side Web application, especially browser, to install malicious programs has gain significant popularity in recent years. Unlike traditional infection vectors such as software bundling in shareware/freeware and placing Trojan in pirated version of commercial software that generally requires user consent to be successfully installed, Web-based spyware attempts exploits on browser vulnerabilities to achieve automatic installation (a.k.a. drive-by download). In this paper, we characterize the Behavior of spyware instances collected from software bundling and of those collected from exploit Web pages in terms of auto-start extensibility points (ASEP) and other spyware Behaviors. We use a tool called STARS (Stateful Threat-Aware Removal System) that can monitor critical areas of the system and detect advanced feature of a spyware instance such as self- healing. Experimental results show that traditional spyware and Web-based spyware used a different combination set of ASEP to resist deletion. The latter one hooks to low-level system components and loaded as services and/or drivers employing Layered Service Provider (LSP) to interpret network traffic. Our observations identify the unique Behaviors performed by the Web-based spyware that are rarely found on traditional spyware.

  • PRDC - Examining Web-Based Spyware Invasion with Stateful Behavior Monitoring
    13th Pacific Rim International Symposium on Dependable Computing (PRDC 2007), 2007
    Co-Authors: Sy-yen Kuo
    Abstract:

    Spyware infection that exploits the vulnerabilities of client-side Web application, especially browser, to install malicious programs has gain significant popularity in recent years. Unlike traditional infection vectors such as software bundling in shareware/freeware and placing Trojan in pirated version of commercial software that generally requires user consent to be successfully installed, Web-based spyware attempts exploits on browser vulnerabilities to achieve automatic installation (a.k.a. drive-by download). In this paper, we characterize the Behavior of spyware instances collected from software bundling and of those collected from exploit Web pages in terms of auto-start extensibility points (ASEP) and other spyware Behaviors. We use a tool called STARS (Stateful Threat-Aware Removal System) that can monitor critical areas of the system and detect advanced feature of a spyware instance such as self- healing. Experimental results show that traditional spyware and Web-based spyware used a different combination set of ASEP to resist deletion. The latter one hooks to low-level system components and loaded as services and/or drivers employing Layered Service Provider (LSP) to interpret network traffic. Our observations identify the unique Behaviors performed by the Web-based spyware that are rarely found on traditional spyware.

Jin Yang - One of the best experts on this subject based on the ideXlab platform.

  • Large‐Scale and Washable Smart Textiles Based on Triboelectric Nanogenerator Arrays for Self‐Powered Sleeping Monitoring
    Advanced Functional Materials, 2017
    Co-Authors: Jun Yang, Yufen Wu, Xiaoshi Li, J. Chen, Jin Yang
    Abstract:

    Sleeping disorder is a major health threatening in high-pace modern society. Characterizing sleep Behavior with pressure-sensitive, simple fabrication, and decent washability still remains a challenge and highly desired. Here, a pressure-sensitive, large-scale, and washable smart textile is reported based on triboelectric nanogenerator (TENG) array as bedsheet for real-time and self-powered sleep Behavior Monitoring. Fabricated by conductive fibers and elastomeric materials with a wave structure, the TENG units exhibit desirable features including high sensitivity, fast response time, durability, and water resistance, and are interconnected together, forming a pressure sensor array. Furthermore, highly integrated data acquisition, processing, and wireless transmission system is established and equipped with the sensor array to realize real-time sleep Behavior Monitoring and sleep quality evaluation. Moreover, the smart textile can further serve as a self-powered warning system in the case of an aged nonhospitalized patients falling down from the bed, which will immediately inform the medical staff. This work not only paves a new way for real-time noninvasive sleep Monitoring, but also presents a new perspective for the practical applications of remote clinical medical service.

Ji Yang - One of the best experts on this subject based on the ideXlab platform.

  • large scale and washable smart textiles based on triboelectric nanogenerator arrays for self powered sleeping Monitoring
    Advanced Functional Materials, 2018
    Co-Authors: Ju Yang, Wei Wei, Ju Liu, Ju Che, Ji Yang
    Abstract:

    Sleeping disorder is a major health threatening in high-pace modern society. Characterizing sleep Behavior with pressure-sensitive, simple fabrication, and decent washability still remains a challenge and highly desired. Here, a pressure-sensitive, large-scale, and washable smart textile is reported based on triboelectric nanogenerator (TENG) array as bedsheet for real-time and self-powered sleep Behavior Monitoring. Fabricated by conductive fibers and elastomeric materials with a wave structure, the TENG units exhibit desirable features including high sensitivity, fast response time, durability, and water resistance, and are interconnected together, forming a pressure sensor array. Furthermore, highly integrated data acquisition, processing, and wireless transmission system is established and equipped with the sensor array to realize real-time sleep Behavior Monitoring and sleep quality evaluation. Moreover, the smart textile can further serve as a self-powered warning system in the case of an aged nonhospitalized patients falling down from the bed, which will immediately inform the medical staff. This work not only paves a new way for real-time noninvasive sleep Monitoring, but also presents a new perspective for the practical applications of remote clinical medical service.

Chung Hung Tsai - One of the best experts on this subject based on the ideXlab platform.

  • Web application security assessment by fault injection and Behavior Monitoring
    Proceedings of the World Wide Web Conference (WWW), 2003
    Co-Authors: Yao-wen Huang, Tsung-po Lin, Shih-kun Huang, Chung Hung Tsai
    Abstract:

    As a large and complex application platform, the World Wide Web is capable of delivering a broad range of sophisticated applications. However, many Web applications go through rapid development phases with extremely short turnaround time, making it difficult to eliminate vulnerabilities. Here we analyze the design of Web application security assessment mechanisms in order to identify poor coding practices that render Web applications vulnerable to attacks such as SQL injection and cross-site scripting. We describe the use of a number of software-testing techniques (including dynamic analysis, black-box testing, fault injection, and Behavior Monitoring), and suggest mechanisms for applying these techniques to Web applications. Real-world situations are used to test a tool we named the Web Application Vulnerability and Error Scanner (WAVES, an open-source project available at http://waves.sourceforge.net) and to compare it with other tools. Our results show that WAVES is a feasible platform for assessing Web application security.

  • WWW - Web application security assessment by fault injection and Behavior Monitoring
    Proceedings of the twelfth international conference on World Wide Web - WWW '03, 2003
    Co-Authors: Yao-wen Huang, Tsung-po Lin, Shih-kun Huang, Chung Hung Tsai
    Abstract:

    As a large and complex application platform, the World Wide Web is capable of delivering a broad range of sophisticated applications. However, many Web applications go through rapid development phases with extremely short turnaround time, making it difficult to eliminate vulnerabilities. Here we analyze the design of Web application security assessment mechanisms in order to identify poor coding practices that render Web applications vulnerable to attacks such as SQL injection and cross-site scripting. We describe the use of a number of software-testing techniques (including dynamic analysis, black-box testing, fault injection, and Behavior Monitoring), and suggest mechanisms for applying these techniques to Web applications. Real-world situations are used to test a tool we named the Web Application Vulnerability and Error Scanner (WAVES, an open-source project available at http://waves.sourceforge.net) and to compare it with other tools. Our results show that WAVES is a feasible platform for assessing Web application security.

Jun Yang - One of the best experts on this subject based on the ideXlab platform.

  • Large‐Scale and Washable Smart Textiles Based on Triboelectric Nanogenerator Arrays for Self‐Powered Sleeping Monitoring
    Advanced Functional Materials, 2017
    Co-Authors: Jun Yang, Yufen Wu, Xiaoshi Li, J. Chen, Jin Yang
    Abstract:

    Sleeping disorder is a major health threatening in high-pace modern society. Characterizing sleep Behavior with pressure-sensitive, simple fabrication, and decent washability still remains a challenge and highly desired. Here, a pressure-sensitive, large-scale, and washable smart textile is reported based on triboelectric nanogenerator (TENG) array as bedsheet for real-time and self-powered sleep Behavior Monitoring. Fabricated by conductive fibers and elastomeric materials with a wave structure, the TENG units exhibit desirable features including high sensitivity, fast response time, durability, and water resistance, and are interconnected together, forming a pressure sensor array. Furthermore, highly integrated data acquisition, processing, and wireless transmission system is established and equipped with the sensor array to realize real-time sleep Behavior Monitoring and sleep quality evaluation. Moreover, the smart textile can further serve as a self-powered warning system in the case of an aged nonhospitalized patients falling down from the bed, which will immediately inform the medical staff. This work not only paves a new way for real-time noninvasive sleep Monitoring, but also presents a new perspective for the practical applications of remote clinical medical service.