Bring-Your-Own-Application (BYOA): Optimal Stochastic Application Migration in Mobile Cloud Computing

Chase, Jonathan; Niyato, Dusit; Chaisiri, Sivadon

doi:10.1109/glocom.2015.7417575

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…The framework with ambient intelligence will be useful for information security managers to make adaptive security policies in context-aware computing environments e.g. BYOD [3], IoT [4], and 5G wireless networks [5].…”

Section: Discussionmentioning

confidence: 99%

“…Changes in such context can have impact on security postures such that security requirements and policies have to be refined [2]. For example, security policies for Bring-Your-Own-Device (BYOD) paradigm [3], Internet-of-Things (IoT) [4], and 5G networks [5] have to be adaptable to context relevant to security and other factors such as computing performance and monetary costs [6].…”

Section: Introductionmentioning

confidence: 99%

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From Reactionary to Proactive Security: Context-Aware Security Policy Management and Optimization under Uncertainty

Chaisiri

2016

2016 IEEE Trustcom/BigDataSE/Ispa

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Abstract-At the core of its nature, security is a highly contextual and dynamic challenge. However, current security policy approaches are usually static, and slow to adapt to ever-changing requirements, let alone catching up with reality. In a 2012 Sophos survey, it was stated that a unique malware is created every half a second. This gives a glimpse of the unsustainable nature of a global problem; any improvement in terms of closing the "time window to adapt" would be a significant step forward. To exacerbate the situation, a simple change in threat and attack vector or even an implementation of the so-called "bring-your-owndevice" paradigm will greatly change the frequency of changed security requirements and necessary solutions required for each new context. Current security policies also typically overlook the direct and indirect costs of implementation of policies. As a result, technical teams often fail to have the ability to justify the budget to the management, from a business risk viewpoint. This paper considers both the adaptive and cost-benefit aspects of security, and introduces a novel context-aware technique for designing and implementing adaptive, optimized security policies. Our approach leverages the capabilities of stochastic programming models to optimize security policy planning, and our preliminary results demonstrate a promising step towards proactive, contextaware security policies.

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Section: Discussionmentioning

confidence: 99%