The Experts below are selected from a list of 15219 Experts worldwide ranked by ideXlab platform

Mengchu Zhou - One of the best experts on this subject based on the ideXlab platform.

  • modeling and verification of online shopping business processes by considering malicious behavior patterns
    IEEE Transactions on Automation Science and Engineering, 2016
    Co-Authors: Chun Gang Yan, Zhijun Ding, Changjun Jiang, Mengchu Zhou
    Abstract:

    Recently, online shopping integrating third-party payment platforms (TPPs) introduces new security challenges due to complex interactions between Application Programming Interfaces (APIs) of Merchants and TPPs. Malicious clients may exploit security vulnerabilities by calling APIs in an arbitrary order or playing various roles. To deal with the security issue in the early stages of system development, this paper presents a formal method for modeling and verification of online shopping business processes with malicious behavior patterns considered based on Petri nets. We propose a formal model called E-commerce Business Process Net to model a normal online shopping business process that represent intended functions, and malicious behavior patterns representing a potential attack that violates the security goals at the Requirement Analysis Phase. Then, we synthesize the normal business process and malicious behavior patterns by an incremental modeling method. According to the synthetic model, we analyze whether an online shopping business process is resistant to the known malicious behavior patterns. As a result, our approach can make the software design provably secured from the malicious attacks at process design time and, thus, reduces the difficulty and cost of modification for imperfect systems at the release Phase. We demonstrate our approach through a case study.

Irina Sens - One of the best experts on this subject based on the ideXlab platform.

  • VisInfo: a digital library system for time series research data based on exploratory search--a user-centered design approach
    International Journal on Digital Libraries, 2014
    Co-Authors: Jürgen Bernard, Debora Daberkow, Dieter Fellner, Katrin Fischer, Oliver Koepler, Jörn Kohlhammer, Mila Runnwerth, Tobias Ruppert, Tobias Schreck, Irina Sens
    Abstract:

    To this day, data-driven science is a widely accepted concept in the digital library (DL) context (Hey et al. in The fourth paradigm: data-intensive scientific discovery. Microsoft Research, 2009). In the same way, domain knowledge from information visualization, visual analytics, and exploratory search has found its way into the DL workflow. This trend is expected to continue, considering future DL challenges such as content-based access to new document types, visual search, and exploration for information landscapes, or big data in general. To cope with these challenges, DL actors need to collaborate with external specialists from different domains to complement each other and succeed in given tasks such as making research data publicly available. Through these interdisciplinary approaches, the DL ecosystem may contribute to applications focused on data-driven science and digital scholarship. In this work, we present VisInfo (2014) , a web-based digital library system (DLS) with the goal to provide visual access to time series research data. Based on an exploratory search (ES) concept (White and Roth in Synth Lect Inf Concepts Retr Serv 1(1):1---98, 2009), VisInfo at first provides a content-based overview visualization of large amounts of time series research data. Further, the system enables the user to define visual queries by example or by sketch. Finally, VisInfo presents visual-interactive capability for the exploration of search results. The development process of VisInfo was based on the user-centered design principle. Experts from computer science, a scientific digital library, usability engineering, and scientists from the earth, and environmental sciences were involved in an interdisciplinary approach. We report on comprehensive user studies in the Requirement Analysis Phase based on paper prototyping, user interviews, screen casts, and user questionnaires. Heuristic evaluations and two usability testing rounds were applied during the system implementation and the deployment Phase and certify measurable improvements for our DLS. Based on the lessons learned in VisInfo, we suggest a generalized project workflow that may be applied in related, prospective approaches.

Chun Gang Yan - One of the best experts on this subject based on the ideXlab platform.

  • modeling and verification of online shopping business processes by considering malicious behavior patterns
    IEEE Transactions on Automation Science and Engineering, 2016
    Co-Authors: Chun Gang Yan, Zhijun Ding, Changjun Jiang, Mengchu Zhou
    Abstract:

    Recently, online shopping integrating third-party payment platforms (TPPs) introduces new security challenges due to complex interactions between Application Programming Interfaces (APIs) of Merchants and TPPs. Malicious clients may exploit security vulnerabilities by calling APIs in an arbitrary order or playing various roles. To deal with the security issue in the early stages of system development, this paper presents a formal method for modeling and verification of online shopping business processes with malicious behavior patterns considered based on Petri nets. We propose a formal model called E-commerce Business Process Net to model a normal online shopping business process that represent intended functions, and malicious behavior patterns representing a potential attack that violates the security goals at the Requirement Analysis Phase. Then, we synthesize the normal business process and malicious behavior patterns by an incremental modeling method. According to the synthetic model, we analyze whether an online shopping business process is resistant to the known malicious behavior patterns. As a result, our approach can make the software design provably secured from the malicious attacks at process design time and, thus, reduces the difficulty and cost of modification for imperfect systems at the release Phase. We demonstrate our approach through a case study.

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

Ling Zhang - One of the best experts on this subject based on the ideXlab platform.

  • improving is development teams performance during Requirement Analysis in project the perspectives from shared mental model and emotional intelligence
    International Journal of Project Management, 2016
    Co-Authors: Chunjie Xiang, Zhonghua Yang, Ling Zhang
    Abstract:

    Abstract Numerous studies have investigated factors affecting the project Requirement Analysis of information system development (ISD) teams from the view of technology, but our research focused on how developers' behaviors affected project team members' Requirements Analysis work from the emotional intelligence (EI) and shared mental model (SMM) perspectives. Specifically, we separated SMM into task-related SMM and member-related SMM to examine their impacts on ISD teams' performances during Requirement Analysis Phase. Then we chose four scales of EI to research the relationships between them and SMMs. Using the approach of structural equation model, the results indicated that two aspects of SMM both have significant and positive impact on team performance, and EI could be the antecedents of SMM. The results indicate that SMM could enhance the influences of EI on project team performance, so the choice of individual team members and the team building are both significant to ISD teams for better performance in project Requirement Analysis.