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RISS 인기검색어
- 검색키워드
- 저자 : ( Latha Tamilselvan ) (검색결과 2 건)
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Dynamic Resource Monitoring of SaaS with Attestation for a Trusted Cloud Environment
Udhayakumar Shanmugam,Latha Tamilselvan 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.4
Network-centric applications are built on an intricate infrastructure that binds the communication services to distribute across heterogeneous environments. These services are becoming increasingly innovative and autonomic to execute on demand processes on a virtual platform. This kind of collaboration has fueled the growth of business for a landscape change, creating the era of cloud computing. Present security exploits in this uncharted landscape require a fabric of a trustworthy networked society, which must be inherently secure and reliable. Consequently, every resource that is shared in the cloud is not secure enough, hence, the need to monitor these shared services for its trustworthiness has aroused. In our work, we propose a trusted computing model that monitors services offered to a user through behavior analytics. An Application Monitoring Engine (AME) gets invoked at runtime to detect any changes in the behavior and analysis its pattern. Deviations if any, is escalated into a threat, which is verified through a centralized trust repository and subsequently attested by Behavior Analytics and Attestation Server (BAAS). Earlier models assess trust based on reputation, service agreements, fuzzy and probability, which are mostly static in nature and does not certify the trust value. Our model focuses trust in dynamic nature, and also certifies it through remote attestation protocol. The model is implemented in an OpenStack cloud setup for its feasibility and the performance is analyzed for an image editing software service.
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Computational Analytics of Client Awareness for Mobile Application Offloading with Cloud Migration
( Uma Nandhini ),( Latha Tamilselvan ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.11
Smartphone applications like games, image processing, e-commerce and social networking are gaining exponential growth, with the ubiquity of cellular services. This demands increased computational power and storage from mobile devices with a sufficiently high bandwidth for mobile internet service. But mobile nodes are highly constrained in the processing and storage, along with the battery power, which further restrains their dependability. Adopting the unlimited storage and computing power offered by cloud servers, it is possible to overcome and turn these issues into a favorable opportunity for the growth of mobile cloud computing. As the mobile internet data traffic is predicted to grow at the rate of around 65 percent yearly, even advanced services like 3G and 4G for mobile communication will fail to accommodate such exponential growth of data. On the other hand, developers extend popular applications with high end graphics leading to smart phones, manufactured with multicore processors and graphics processing units making them unaffordable. Therefore, to address the need of resource constrained mobile nodes and bandwidth constrained cellular networks, the computations can be migrated to resourceful servers connected to cloud. The server now acts as a bridge that should enable the participating mobile nodes to offload their computations through Wi-Fi directly to the virtualized server. Our proposed model enables an on-demand service offloading with a decision support system that identifies the capabilities of the client`s hardware and software resources in judging the requirements for offloading. Further, the node`s location, context and security capabilities are estimated to facilitate adaptive migration.
ScienceON
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