The Experts below are selected from a list of 240 Experts worldwide ranked by ideXlab platform
Muttukrishnan Rajarajan - One of the best experts on this subject based on the ideXlab platform.
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an analysis of tracking settings in blackberry 10 and windows phone 8 smartphones
Australasian Conference on Information Security and Privacy, 2014Co-Authors: Yogachandran Rahulamathavan, Veelasha Moonsamy, Lynn Batten, Su Shunliang, Muttukrishnan RajarajanAbstract:The use of tracking settings in smartphones facilitates the provision of tailored services to users by allowing service providers access to unique identifiers stored on the smartphones. In this paper, we investigate the ‘tracking off’ settings on the Blackberry 10 and Windows Phone 8 platforms. To determine if they work as claimed, we set up a test bed suitable for both operating systems to Capture Traffic between the smartphone and external servers. We dynamically execute a set of similar Blackberry 10 and Windows Phone 8 applications, downloaded from their respective official markets. Our results indicate that even if users turn off tracking settings in their smartphones, some applications leak unique identifiers without their knowledge.
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ACISP - An Analysis of Tracking Settings in Blackberry 10 and Windows Phone 8 Smartphones
Information Security and Privacy, 2014Co-Authors: Yogachandran Rahulamathavan, Veelasha Moonsamy, Lynn Batten, Su Shunliang, Muttukrishnan RajarajanAbstract:The use of tracking settings in smartphones facilitates the provision of tailored services to users by allowing service providers access to unique identifiers stored on the smartphones. In this paper, we investigate the ‘tracking off’ settings on the Blackberry 10 and Windows Phone 8 platforms. To determine if they work as claimed, we set up a test bed suitable for both operating systems to Capture Traffic between the smartphone and external servers. We dynamically execute a set of similar Blackberry 10 and Windows Phone 8 applications, downloaded from their respective official markets. Our results indicate that even if users turn off tracking settings in their smartphones, some applications leak unique identifiers without their knowledge.
Yuri Gordienko - One of the best experts on this subject based on the ideXlab platform.
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Sniffer Pro Network Optimization and Troubleshooting Handbook - Chapter 2 – Installing Sniffer Pro
Sniffer Pro Network Optimization and Troubleshooting Handbook, 2002Co-Authors: Robert J. Shimonski, Wally Eaton, Umer Khan, Yuri GordienkoAbstract:This chapter discusses how to install Sniffer Pro and covers the issues that could be faced while installing and upgrading. The in-depth information focuses on the minimum requirements for every platform. The chapter also describes how to configure the drivers and why special drivers are needed for Ethernet, Token Ring, or any other platform used with Sniffer Pro. Sniffer Pro is as simple as installing any other application on Microsoft Windows and it uses the standard InstallShield Wizard to guide through the setup process. Promiscuous mode network cards and drivers should be used to Capture Traffic. Otherwise, the Sniffer Pro system only sees frames destined for it. To gain most from the system, an NAI-supported NIC with NAI enhanced drivers should be installed. These drivers are optimized for use with Sniffer Pro and provide the best Capture performance as well as the ability to monitor physical layer errors.
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Sniffer Pro Network Optimization and Troubleshooting Handbook - Chapter 6 – Capturing Network Data for Analysis
Sniffer Pro Network Optimization and Troubleshooting Handbook, 2002Co-Authors: Robert J. Shimonski, Wally Eaton, Umer Khan, Yuri GordienkoAbstract:This chapter covers details about capturing data and saving it for analysis and discusses how to save and archive Capture files for logging and/or future base-lining. Using Sniffer Pro to Capture Traffic is one of the fastest ways to obtain a complete picture of what is happening on the network, analyze Captured information, and resolve the issue. It is also possible to Capture Traffic, experiment with it, and analyze it in a test environment the way the network would react to specific groups of data. Besides the ability to Capture all the data that is flowing on the network, Sniffer Pro has broad filtering capabilities that greatly facilitate troubleshooting on highly loaded networks. Once the data has been Captured, the main task before the analysis is to save Capture in the right way. There is a choice of saving between manual and automatic savings of Captures, whichever is more convenient. The specifics of capturing data, the Capture and analysis of Address Resolution Protocol (AKP), Internet Control Message Protocol (ICMP), Transmission Control Protocol (TCP), and User Datagram Protocol (UDP) have also been covered.
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Sniffer Pro Network Optimization and Troubleshooting Handbook - Chapter 4 – Configuring Sniffer Pro to Monitor Network Applications
Sniffer Pro Network Optimization and Troubleshooting Handbook, 2002Co-Authors: Robert J. Shimonski, Wally Eaton, Umer Khan, Yuri GordienkoAbstract:This chapter describes how to configure the Sniffer Pro to Capture Traffic and presents the real-life applications of using Sniffer Pro proactively and reactively with regard to network applications. The steps to start and stop a Capture with Sniffer Pro have been covered. The proper positioning of the workstation with Sniffer Pro installed is also described. The concepts of monitoring applications and application response time (ART) have also been discussed along with how Sniffer Pro monitors ART. The Sniffer Pro is broken down to see how it is customized, what each layer represents, and how to use it for troubleshooting and analysis. The Sniffer Pro Decode tab is studied in great detail to show what each pane does, how to read it, how to customize it, and what to look for while doing analysis work. Two complex problems have been sampled with how to apply all this knowledge that decides to Capture, decode, and analyze possible problems with Sniffer Pro.
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chapter 4 configuring sniffer pro to monitor network applications
Sniffer Pro Network Optimization and Troubleshooting Handbook, 2002Co-Authors: Robert J. Shimonski, Wally Eaton, Umer Khan, Yuri GordienkoAbstract:This chapter describes how to configure the Sniffer Pro to Capture Traffic and presents the real-life applications of using Sniffer Pro proactively and reactively with regard to network applications. The steps to start and stop a Capture with Sniffer Pro have been covered. The proper positioning of the workstation with Sniffer Pro installed is also described. The concepts of monitoring applications and application response time (ART) have also been discussed along with how Sniffer Pro monitors ART. The Sniffer Pro is broken down to see how it is customized, what each layer represents, and how to use it for troubleshooting and analysis. The Sniffer Pro Decode tab is studied in great detail to show what each pane does, how to read it, how to customize it, and what to look for while doing analysis work. Two complex problems have been sampled with how to apply all this knowledge that decides to Capture, decode, and analyze possible problems with Sniffer Pro.
Yogachandran Rahulamathavan - One of the best experts on this subject based on the ideXlab platform.
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an analysis of tracking settings in blackberry 10 and windows phone 8 smartphones
Australasian Conference on Information Security and Privacy, 2014Co-Authors: Yogachandran Rahulamathavan, Veelasha Moonsamy, Lynn Batten, Su Shunliang, Muttukrishnan RajarajanAbstract:The use of tracking settings in smartphones facilitates the provision of tailored services to users by allowing service providers access to unique identifiers stored on the smartphones. In this paper, we investigate the ‘tracking off’ settings on the Blackberry 10 and Windows Phone 8 platforms. To determine if they work as claimed, we set up a test bed suitable for both operating systems to Capture Traffic between the smartphone and external servers. We dynamically execute a set of similar Blackberry 10 and Windows Phone 8 applications, downloaded from their respective official markets. Our results indicate that even if users turn off tracking settings in their smartphones, some applications leak unique identifiers without their knowledge.
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ACISP - An Analysis of Tracking Settings in Blackberry 10 and Windows Phone 8 Smartphones
Information Security and Privacy, 2014Co-Authors: Yogachandran Rahulamathavan, Veelasha Moonsamy, Lynn Batten, Su Shunliang, Muttukrishnan RajarajanAbstract:The use of tracking settings in smartphones facilitates the provision of tailored services to users by allowing service providers access to unique identifiers stored on the smartphones. In this paper, we investigate the ‘tracking off’ settings on the Blackberry 10 and Windows Phone 8 platforms. To determine if they work as claimed, we set up a test bed suitable for both operating systems to Capture Traffic between the smartphone and external servers. We dynamically execute a set of similar Blackberry 10 and Windows Phone 8 applications, downloaded from their respective official markets. Our results indicate that even if users turn off tracking settings in their smartphones, some applications leak unique identifiers without their knowledge.
Hani S Mahmassani - One of the best experts on this subject based on the ideXlab platform.
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dynamic pricing heterogeneous users and perception error probit based bi criterion dynamic stochastic user equilibrium assignment
Transportation Research Part C-emerging Technologies, 2013Co-Authors: Kuilin Zhang, Hani S Mahmassani, Chungcheng LuAbstract:A probit-based bi-criterion dynamic stochastic user equilibrium (BDSUE) model is presented to Capture path choice behavior of heterogeneous users with distinct values of time (VOT) and different perception of travel costs in response to pricing and congestion in a transportation network. Across the population of travelers, the VOT is represented by a continuously distributed random variable, and path travel cost perception errors are multivariate normally distributed. The BDSUE problem is formulated as a fixed point problem in the infinite dimensional space, and solved by a column generation framework which embeds (i) a parametric analysis method (PAM) to transform the continuous problem to the finite dimensional space by finding breakpoints that partition the entire range of VOT into subintervals and define a multi-class dynamic stochastic user equilibrium (MDSUE) problem; (ii) a column generation algorithm to augment a feasible path set for each user class; (iii) a probit-based stochastic path flow updating scheme to solve a restricted MDSUE problem defined by the set of feasible paths using an averaging method; and (iv) dynamic network loading using a particle-based Traffic simulator to Capture Traffic dynamics and determine experienced travel times for a given path flow pattern. Numerical experiments on a medium size network are conducted to explore convergence of the solution algorithm and to illustrate heterogeneous user responses to dynamic tolls.
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equivalent gap function based reformulation and solution algorithm for the dynamic user equilibrium problem
Transportation Research Part B-methodological, 2009Co-Authors: Hani S Mahmassani, Xuesong ZhouAbstract:A variety of analytical and simulation-based models and algorithms have been developed for the dynamic user equilibrium (DUE) Traffic assignment problem. This paper aims to develop a theoretically sound simulation-based DUE model and its solution algorithm, with particular emphasis on obtaining solutions that satisfy the DUE conditions. The DUE problem is reformulated, via a gap function, as a nonlinear minimization problem (NMP). The NMP is then solved by a column generation-based optimization procedure which embeds (i) a simulation-based dynamic network loading model to Capture Traffic dynamics and determine experienced path travel costs for a given path flow pattern and (ii) a path-swapping descent direction method to solve the restricted NMP defined by a subset of feasible paths. The descent direction method circumvents the need to compute the gradient of the objective function in finding search directions, or to determine suitable step sizes, which is especially valuable for large-scale simulation-based DUE applications. Computational results for both small and large real road networks confirm that the proposed formulation and solution algorithm are effective in obtaining near-optimal solutions to the DUE problem.
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From Existing Accident-Free Car-Following Models to Colliding Vehicles: Exploration and Assessment
Transportation Research Record, 2008Co-Authors: Samer H. Hamdar, Hani S MahmassaniAbstract:The study explores the specifications of microscopic Traffic models that could Capture congestion dynamics and model accident-prone behaviors on a highway section in greater realism than existing models currently used in practice (commercial software). A comparative assessment of several major acceleration models is conducted, especially for congestion formation and incident modeling. On the basis of this assessment, alternative specifications for car-following and lane-changing models are developed and implemented in a microscopic simulation framework. The models are calibrated and compared for resulting vehicle trajectories and macroscopic flow-density relationships. Experiments are conducted with the models under different degrees of relaxation of the safety constraints typically applied in conjunction with simulation codes used in practice. The ability of the proposed specifications to Capture Traffic behavior in extreme situations is examined. The results suggest that these specifications offer an im...
Lynn Batten - One of the best experts on this subject based on the ideXlab platform.
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an analysis of tracking settings in blackberry 10 and windows phone 8 smartphones
Australasian Conference on Information Security and Privacy, 2014Co-Authors: Yogachandran Rahulamathavan, Veelasha Moonsamy, Lynn Batten, Su Shunliang, Muttukrishnan RajarajanAbstract:The use of tracking settings in smartphones facilitates the provision of tailored services to users by allowing service providers access to unique identifiers stored on the smartphones. In this paper, we investigate the ‘tracking off’ settings on the Blackberry 10 and Windows Phone 8 platforms. To determine if they work as claimed, we set up a test bed suitable for both operating systems to Capture Traffic between the smartphone and external servers. We dynamically execute a set of similar Blackberry 10 and Windows Phone 8 applications, downloaded from their respective official markets. Our results indicate that even if users turn off tracking settings in their smartphones, some applications leak unique identifiers without their knowledge.
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ACISP - An Analysis of Tracking Settings in Blackberry 10 and Windows Phone 8 Smartphones
Information Security and Privacy, 2014Co-Authors: Yogachandran Rahulamathavan, Veelasha Moonsamy, Lynn Batten, Su Shunliang, Muttukrishnan RajarajanAbstract:The use of tracking settings in smartphones facilitates the provision of tailored services to users by allowing service providers access to unique identifiers stored on the smartphones. In this paper, we investigate the ‘tracking off’ settings on the Blackberry 10 and Windows Phone 8 platforms. To determine if they work as claimed, we set up a test bed suitable for both operating systems to Capture Traffic between the smartphone and external servers. We dynamically execute a set of similar Blackberry 10 and Windows Phone 8 applications, downloaded from their respective official markets. Our results indicate that even if users turn off tracking settings in their smartphones, some applications leak unique identifiers without their knowledge.