An Adaptive Approach to Optimizing Tradeoff Between Service Performance and Security in Service-Based Systems

Yau, Stephen S.; Yin, Yin; An, Ho G.

doi:10.4018/jwsr.2011040104

Cited by 13 publications

(8 citation statements)

References 19 publications

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“…This may improve the accuracy of predicted security breaches. Existing research on the intelligent planning for IoT and optimized tradeoff functions [27][28][29] can be leveraged for this study.…”

Section: Further Researchmentioning

confidence: 99%

Protecting Critical Cloud Infrastructures with Predictive Capability

Yau¹,

Buduru

Nagaraja

2015

2015 IEEE 8th International Conference on Cloud Computing

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Emerging trends in cyber system security breaches, including those in critical infrastructures involving cloud systems, such as in applications of military, homeland security, finance, utilities and transportation systems, have shown that attackers have abundant resources, including both human and computing power, to launch attacks. The sophistication and resources used in attacks reflect that the attackers may be supported by large organizations and in some cases by foreign governments. Hence, there is an urgent need to develop intelligent cyber defense approaches to better protecting critical cloud infrastructures. In order to have much better protection for critical cloud infrastructures, effective approaches with predictive capability are needed. Much research has been done by applying game theory to generating adversarial models for predictive defense of critical infrastructures. However, these approaches have serious limitations, some of which are due to the assumptions used in these approaches, such as rationality and Nash equilibrium, which may not be valid for current and emerging cloud infrastructures. Another major limitation of these approaches is that they do not capture probabilistic human behaviors accurately, and hence do not incorporate human behaviors. In order to greatly improve the protection of critical cloud infrastructures, it is necessary to predict potential security breaches on critical cloud infrastructures with accurate system-wide causal relationship and probabilistic human behaviors. In this paper, the challenges and our vision on developing such proactive protection approaches are discussed.

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Section: Further Researchmentioning

confidence: 99%

Protecting Critical Cloud Infrastructures with Predictive Capability

Yau¹,

Buduru

Nagaraja

2015

2015 IEEE 8th International Conference on Cloud Computing

Self Cite

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“…The UV and IM of the devices in a mobile IoT application are calculated by the SESP using our objective tradeoff function [12] as shown in (3) and (4).…”

Section: Sesp Device State Analysismentioning

confidence: 99%

Intelligent Planning for Developing Mobile IoT Applications Using Cloud Systems

Yau

Buduru

2014

2014 IEEE International Conference on Mobile Services

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IoT (Internet of Things) is increasingly becoming more popular mainly due to the fact that almost all the smart devices nowadays are network enabled to facilitate many current and emerging applications. However, some important issues still need to be addressed before fully realizing the potential of IoT applications. One of the most important issues is to have effective approaches to planning various device actions to satisfy user requirements efficiently and securely in mobile IoT applications. A mobile IoT application can be composed of mobile cloud systems and devices, such as wearable devices, smart phones and smart cars. In this type of systems, mobile networks with elastic resources from various mobile clouds are effective to support IoT applications. In this paper an effective approach to intelligent planning for mobile IoT applications is presented. This approach includes a learning technique for dynamically assessing the users' mobile IoT application and a MDP (Markov Decision Process) planning technique for enhancing efficiency of IoT device action planning. Simulation results are presented to show the effectiveness of our approach.

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“…To overcome security issues in IoT m-Health devices, Doukas et al [48] employed a system based on digital certificates and Public Key Infrastructure (PKI) data encryption. An adaptive approach, as proposed by Yau et al [49], can also be used to prevent communication systems from various security attacks. Similarly, Templeton [50] addressed the issues of the security challenges in the increased use of cyber-physical devices in assistive environments.…”

Section: Introductionmentioning

confidence: 99%

A University-Based Smart and Context Aware Solution for People with Disabilities (USCAS-PWD)

et al. 2016

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(1) Background: A disabled student or employee in a certain university faces a large number of obstacles in achieving his/her ordinary duties. An interactive smart search and communication application can support the people at the university campus and Science Park in a number of ways. Primarily, it can strengthen their professional network and establish a responsive eco-system. Therefore, the objective of this research work is to design and implement a unified flexible and adaptable interface. This interface supports an intensive search and communication tool across the university. It would benefit everybody on campus, especially the People with Disabilities (PWDs).(2) Methods: In this project, three main contributions are presented: (A) Assistive Technology (AT) software design and implementation (based on user-and technology-centered design); (B) A wireless sensor network employed to track and determine user's location; and (C) A novel event behavior algorithm and movement direction algorithm used to monitor and predict users' behavior and intervene with them and their caregivers when required. (3) Results: This work has developed a comprehensive and universal application with a unified, flexible, and adaptable interface to support the different conditions of PWDs. It has employed an interactive smart based-location service for establishing a smart university Geographic Information System (GIS) solution. This GIS solution has been based on tracking location service, mobility, and wireless sensor network technologies. (4) Conclusion: The proposed system empowered inter-disciplinary interaction between management, staff, researchers, and students, including the PWDs. Identifying the needs of the PWDs has led to the determination of the relevant requirements for designing and implementing a unified flexible and adaptable interface suitable for PWDs on the university campus.

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An Adaptive Approach to Optimizing Tradeoff Between Service Performance and Security in Service-Based Systems

Cited by 13 publications

References 19 publications

Protecting Critical Cloud Infrastructures with Predictive Capability

Protecting Critical Cloud Infrastructures with Predictive Capability

Intelligent Planning for Developing Mobile IoT Applications Using Cloud Systems

A University-Based Smart and Context Aware Solution for People with Disabilities (USCAS-PWD)

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