PPT-Achieving Secure, Scalable, And Fine-grained Data Access Control In Cloud Computing

Access Control In Cloud Computing Hussein Almulla Authors Shucheng Yu Cong Wang Kui Ren And Wenjing Lou Outline Introduction What This Paper Present Models And Assumptions Proposed Scheme. from the paper. Abovce the Clouds: A Berkeley View of Cloud Computing (Feb. 2009). Definitions (I). Cloud Computing refers to both the applications delivered as services over the Internet and the scalable hardware and systems software that provide those services. . Presented by : Ahmed Alalawi. Outline. Introduction. Cloud Computing Components.. Security Issues.. Information Security requirements (ISR). Policy Based and Layered Infrastructure Security :. Dynamic Infrastructure Security Model. Database Security. modified from slides of . Lawrie. Brown. Databases. structured collection of data stored for use by one or more applications. contains the relationships between data items and groups of data items. Liwen. Sun, Michael J. Franklin, Sanjay Krishnan, Reynold S. . Xin†. UC . Berkeley and †. Databricks. Inc. .. VLDB 2014. March 17, 2015. Heymo. Kou. Introduction. Overview. Workload Analysis. The Partitioning Problem. Xen. Bhanu Vattikonda. with . Sambit. Das and . Hovav. . Shacham. 2. Motivation . Project goals. Goals of the paper. Discussion . Future work. Motivation. 3. Recent research efforts have shown that covert channel attacks are possible in the cloud using fine grained timers . Zechao Shang. 1. , . Feifei. Li. 2. , Jeffrey Xu Yu. 1. Zhiwei. Zhang. 3. , Hong Cheng. 1. . 1. The Chinese University of Hong Kong. . 2. University of Utah. 3. Hong Kong Baptist University. not. Recognition(. 细粒度分类. ) . 沈志强. Datasets. . -- Caltech-UCSD Bird-200-2011. Number of categories: 200. Number of images: 11,788. Annotations per image: 15 Part Locations, 1 Bounding Box. from the paper. Abovce the Clouds: A Berkeley View of Cloud Computing (Feb. 2009). Definitions (I). Cloud Computing refers to both the applications delivered as services over the Internet and the scalable hardware and systems software that provide those services. . Cloud computing is a model for enabling . convenient. , . on-demand network access . to a . shared pool . of . configurable computing resources . (e.g., networks, servers, storage, applications, and services) [Mell_2009], [Berkely_2009]. . Stuart Berman. Enterprise Advisory Board. Sep 2011. Cloud: ushering in “IT Spring”. Cloud – a simple idea. Compute as a utility – shared by many. Align technology costs with usage. Challenges our assumptions about everything. Supercomputers are tightly integrated computer systems, dedicated to running a specialized task. Quantum mechanics. Weather forecasting / climate research. Oil / gas exploration. Physical simulations etc.. Cloud Computing. Cloud Computing . Characteristics . On demand service . . Use it as you needed. 2. Network Access . . Uses internet as a medium. 3. Share resources . Resources are pooled together – Used by multiple clients. Computer Science. Purdue University. Research in Cloud Computing. YounSun Cho. cho52@cs.purdue.edu. Computer Science. Purdue University. Anya Kim. anya.kim@nrl.navy.mil. Naval Research Lab. Talk Objectives. Chapter-8. KEC, . Dhapakhel. 1. Big Data. Big Data applies to information that can’t be processed or analyzed using traditional processes or tools.. 2. Techniques for Voluminous Data. Cloud Computing is an efficient method to balance between...