The Experts below are selected from a list of 11403 Experts worldwide ranked by ideXlab platform

Kim-kwang Raymond Choo - One of the best experts on this subject based on the ideXlab platform.

  • always connected but are Smart Mobile users getting more security savvy a survey of Smart Mobile Device users
    2014
    Co-Authors: James Imgraben, Alewyn Engelbrecht, Kim-kwang Raymond Choo
    Abstract:

    Smart Mobile Devices are a potential attack vector for cyber criminal activities. Two hundred and fifty Smart Mobile Device owners from the University of South Australia were surveyed. Not surprisingly, it was found that Smart Mobile Device users in the survey generally underestimated the value that their collective identities have to criminals and how these can be sold. For example, participants who reported jail-breaking/rooting their Devices were also more likely to exhibit risky behaviour (e.g. downloading and installing applications from unknown providers), and the participants generally had no idea of the value of their collective identities to criminals which can be sold to the highest bidder. In general, the participants did not understand the risks and may not have perceived cyber crime to be a real threat. Findings from the survey and the escalating complexities of the end-user Mobile and online environment underscore the need for regular ongoing training programs for basic online security and t...

  • always connected but are Smart Mobile users getting more security savvy a survey of Smart Mobile Device users
    2014
    Co-Authors: James Imgraben, Alewyn Engelbrecht, Kim-kwang Raymond Choo
    Abstract:

    Smart Mobile Devices are a potential attack vector for cyber criminal activities. 250 Smart Mobile Device owners from the University of South Australia (UniSA) were surveyed. Not surprisingly, it was found that Smart Mobile Device users in the survey generally underestimated the value that their collective identities have to criminals and how these can be sold. For example, participants who reported jail-breaking/rooting their Devices were also more likely to exhibit risky behaviour (e.g. downloading and installing applications from unknown providers), and the participants generally had no idea of the value of their collective identities to criminals which can be sold to the highest bidder. In general, the participants did not understand the risks and may not have perceived cyber crime to be a real threat. Findings from the survey and the escalating complexities of the end-user Mobile and online environment underscore the need for regular ongoing training programs for basic online security and the promotion of a culture of security among Smart Mobile Device users. For example, targeted education and awareness programs could be developed to inform or educate Smart Mobile Device users and correct misconceptions or myths in order to bring about changes in attitudes and usage behaviour (e.g. not taking preventative measures such as strong passwords to protect their Devices). Such initiatives would enable all end users (including senior University management who use such Devices to access privileged corporate data and accounts) to maintain current knowledge of the latest cyber crime activities and the best cyber security protection measures available.

Jiandong Li - One of the best experts on this subject based on the ideXlab platform.

  • Mobile-Edge Computing: Partial Computation Offloading Using Dynamic Voltage Scaling
    2016
    Co-Authors: Yanting Wang, Xijun Wang, Min Sheng, Liang Wang, Jiandong Li
    Abstract:

    The incorporation of dynamic voltage scaling (DVS) technology into computation offloading offers more flexibilities for Mobile edge computing. In this paper, we investigate partial computation offloading by jointly optimizing the computational speed of Smart Mobile Device (SMD), transmit power of SMD, and offloading ratio with two system design objectives: energy consumption of SMD minimization (ECM) and latency of application execution minimization (LM). Considering the case that the SMD is served by a single cloud server, we formulate both the ECM problem and the LM problem as nonconvex problems. To tackle the ECM problem, we recast it as a convex one with the variable substitution technique and obtain its optimal solution. To address the nonconvex and nonsmooth LM problem, we propose a locally optimal algorithm with the univariate search technique. Furthermore, we extend the scenario to a multiple cloud servers system, where the SMD could offload its computation to a set of cloud servers. In this scenario, we obtain the optimal computation distribution among cloud servers in closed form for the ECM and LM problem. Finally, extensive simulations demonstrate that our proposed algorithms can significantly reduce the energy consumption and shorten the latency with respect to the existing offloading schemes.

James Imgraben - One of the best experts on this subject based on the ideXlab platform.

  • always connected but are Smart Mobile users getting more security savvy a survey of Smart Mobile Device users
    2014
    Co-Authors: James Imgraben, Alewyn Engelbrecht, Kim-kwang Raymond Choo
    Abstract:

    Smart Mobile Devices are a potential attack vector for cyber criminal activities. Two hundred and fifty Smart Mobile Device owners from the University of South Australia were surveyed. Not surprisingly, it was found that Smart Mobile Device users in the survey generally underestimated the value that their collective identities have to criminals and how these can be sold. For example, participants who reported jail-breaking/rooting their Devices were also more likely to exhibit risky behaviour (e.g. downloading and installing applications from unknown providers), and the participants generally had no idea of the value of their collective identities to criminals which can be sold to the highest bidder. In general, the participants did not understand the risks and may not have perceived cyber crime to be a real threat. Findings from the survey and the escalating complexities of the end-user Mobile and online environment underscore the need for regular ongoing training programs for basic online security and t...

  • always connected but are Smart Mobile users getting more security savvy a survey of Smart Mobile Device users
    2014
    Co-Authors: James Imgraben, Alewyn Engelbrecht, Kim-kwang Raymond Choo
    Abstract:

    Smart Mobile Devices are a potential attack vector for cyber criminal activities. 250 Smart Mobile Device owners from the University of South Australia (UniSA) were surveyed. Not surprisingly, it was found that Smart Mobile Device users in the survey generally underestimated the value that their collective identities have to criminals and how these can be sold. For example, participants who reported jail-breaking/rooting their Devices were also more likely to exhibit risky behaviour (e.g. downloading and installing applications from unknown providers), and the participants generally had no idea of the value of their collective identities to criminals which can be sold to the highest bidder. In general, the participants did not understand the risks and may not have perceived cyber crime to be a real threat. Findings from the survey and the escalating complexities of the end-user Mobile and online environment underscore the need for regular ongoing training programs for basic online security and the promotion of a culture of security among Smart Mobile Device users. For example, targeted education and awareness programs could be developed to inform or educate Smart Mobile Device users and correct misconceptions or myths in order to bring about changes in attitudes and usage behaviour (e.g. not taking preventative measures such as strong passwords to protect their Devices). Such initiatives would enable all end users (including senior University management who use such Devices to access privileged corporate data and accounts) to maintain current knowledge of the latest cyber crime activities and the best cyber security protection measures available.

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

  • energy efficient computation offloading and resource allocation for delay sensitive Mobile edge computing
    2019
    Co-Authors: Quyua Wang, Songtao Guo, Jiadi Liu, Yuanyua Yang
    Abstract:

    Abstract Mobile edge computing is an emerging computing paradigm to augment computational capabilities of Mobile Devices by offloading computation-intensive tasks from resource-constrained Smart Mobile Device onto edge clouds nearby with potential computation capability. However, in general, edge clouds have limited computation resource and energy. Thus it is critical to achieve high energy efficiency while ensuring satisfactory user experience. In this paper, we first formulate the computation offloading problem into the system energy-efficiency cost minimization problem by taking into account the completion time and energy. Then, by solving the optimization problem, we propose a distributed algorithm consisting of clock frequency configuration, transmission power allocation, channel rate scheduling and offloading strategy selection. In this algorithm, the clock frequency for local execution and the transmission power in edge cloud execution are optimized jointly. Furthermore, to optimize the queue delay, we formulate an M/M/n queue model with individual capacity between different windows and propose an algorithm for optimal task offloading rate. Finally, the experimental results show that our algorithm can achieve energy-efficient offloading performance compared to other existing algorithms.

Yanting Wang - One of the best experts on this subject based on the ideXlab platform.

  • Mobile-Edge Computing: Partial Computation Offloading Using Dynamic Voltage Scaling
    2016
    Co-Authors: Yanting Wang, Xijun Wang, Min Sheng, Liang Wang, Jiandong Li
    Abstract:

    The incorporation of dynamic voltage scaling (DVS) technology into computation offloading offers more flexibilities for Mobile edge computing. In this paper, we investigate partial computation offloading by jointly optimizing the computational speed of Smart Mobile Device (SMD), transmit power of SMD, and offloading ratio with two system design objectives: energy consumption of SMD minimization (ECM) and latency of application execution minimization (LM). Considering the case that the SMD is served by a single cloud server, we formulate both the ECM problem and the LM problem as nonconvex problems. To tackle the ECM problem, we recast it as a convex one with the variable substitution technique and obtain its optimal solution. To address the nonconvex and nonsmooth LM problem, we propose a locally optimal algorithm with the univariate search technique. Furthermore, we extend the scenario to a multiple cloud servers system, where the SMD could offload its computation to a set of cloud servers. In this scenario, we obtain the optimal computation distribution among cloud servers in closed form for the ECM and LM problem. Finally, extensive simulations demonstrate that our proposed algorithms can significantly reduce the energy consumption and shorten the latency with respect to the existing offloading schemes.