... Storage Management; 3) Secure CloudData Management; 4) Secure Cloud Network Management; 5) Security Policy Management for Cloud Computing; 6) Cloud Monitoring In this paper, we adopt the idea ... the paper integrated With the development of cloud computing, issues related with the core of cloud are coming into notice heavily Considering and completing every aspects of cloud computing is ... feature selection approach with the data mining technique and the machine learning technique Figure decentralized IdM incloud computing C Problem area As demonstrated in [5], current approaches to...
... They include three agents: SSA, TEA, and ASA The first agent, SSA, maintains a database of information about ABs This information is used for encrypting and decrypting sensitive data and metadata ... for signing/verifying the signature of sensitive data included in the AB The reason for having two key pairs is to prevent attackers from modifying AB’s sensitive data and signing it again with ... approach for protecting PII incloud computing Section presents a sample scenario for the use of our approach Section concludes the paper C Identity ManagementinCloud Computing In the traditional...
... better identity managementincloud computing However, the work done in this area of cloud computing is still in its nascent stage, and the future scope of work will be towards building a framework ... Puliafito;"Security and Cloud Computing: InterCloud Identity Management Infrastructure";Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises;2010 [19] He Yuan Huang, Bin Wang, Xiao ... Xi Liu, Jing Min Xu, ‗Identity Federation Broker for Service Cloud , International Conference on Service Sciences, 2010 [20] Xin Huang, Tingting Zhang, Yifan Hou, ‗ID Management among Clouds‘,...
... ,323 Preserving Privacy in On-line Analytical Processing Data Cubes Lingyu Wang, Sushi1 Jajodia, Duminda Wijesekera ,355 Part V Security in Emerging Data Services Search ... include micro data release and k-anonymity In Part V, we include two essays, which are about challenges in the database- as-a-service model and database watermarking The audience of this book includes ... adopted in commercial and military databasemanagement systems In recent years, the research scope of database security has been greatly expanded due to the rapid development of the global internetworked...
... new information Denormalizing Before storing datain an RDBMS, a schema must be created defining precisely what data can be stored in the database and the relationships between data elements Data ... characteristics: • No schema required Data can be inserted in a NoSQL database without first defining a rigid database schema As a corollary, the format of the data being inserted can be changed at any ... ensure data consistency across views Some NoSQL databasemanagement systems are beginning to support synchronization of data between mobile devices and database clusters deployed in a data center...
... data mining Keywords knowledge management; data mining; text mining Knowledge Management, Data Mining and Text Mining INTRODUCTION The field of biomedical informatics has drawn increasing popularity ... Topics in Medical Informatics Chapter 1: Knowledge ManagementData Mining and Text Mining in Medical Informatics Introduction Knowledge Management, Data Mining, and Text Mining: ... summarization Knowledge Management, Data Mining and Text Mining Most knowledge management, data mining, and text mining techniques involve learning patterns from existing data or information, and are...
... data mining Keywords knowledge management; data mining; text mining Knowledge Management, Data Mining and Text Mining INTRODUCTION The field of biomedical informatics has drawn increasing popularity ... Topics in Medical Informatics Chapter 1: Knowledge ManagementData Mining and Text Mining in Medical Informatics Introduction Knowledge Management, Data Mining, and Text Mining: ... summarization Knowledge Management, Data Mining and Text Mining Most knowledge management, data mining, and text mining techniques involve learning patterns from existing data or information, and are...
... XMark Instead of storing the entire data as a single, large XML instance, it is more natural in a relational database to store the datain tables representing the different entities in the data ... adds a JOIN in case of wildcard and //-axis queries Conclusions This paper introduces techniques for indexing XML instances stored in a relational databasein an undecomposed form It introduces ... systems Typed XML instances contain XSD type information in the internal, binary representation This enables efficient processing for typed XML and allows building domain based value indexes for efficient...
... OpenEdge® database, as detailed in the following sections: • Ways to create an OpenEdge database • Creating a database with PROSTRCT CREATE • Creating a database with the PRODB utility • Creating a database ... for creating and deleting, and starting up and shutting down databases, along with detailing database limits • Part II, “Protecting your data, ” describes the procedures a database administrator ... API (JTA) Part III, Maintaining and Monitoring Your Database Chapter 14, “Managing Performance” Discusses how to monitor tune database performance Chapter 15, “Maintaining Database Structure” Describes...
... searching large volumes of data for patterns, using techniques such as statistical analysis, machine learning and pattern recognition When data mining takes place in databases containing personal information, ... further investigation In this way, record matching could promote stereo-typing and lead to intrusive investigations 32 P Brey Data mining is a technique that is usually defined over a single database ... privacy-enhancing technologies Thanks to the same trends described above, data mining technologies are becoming increasingly used Organizations are creating large databases that record information...
... Pfr R )#a6W&6@G@'f8 S '#QPA{P'u ! " $ ( $ ( â ( F " " â F " 2.4 Storing Encrypted Data y 2.3 Mapping Functions 2.2 Identication Functions  y X Ê( &6s6( ( " #'&6s6a@'df#%#6( ... â F ( &6)#ad&Y)a6&6s'#dG! S AW!Hv ( ! " H " $ $ " $ â ( ! â F i F B x g MAPPING CONDITIONS $ " H &f&' S ( " S &W)C@'#h#Q& H â y " H V â q " e g $ " " ... l7&'&fP'c&6)a#hW&6)#a&'6Y1B ( â H " H F " t ! $ " " ( ! " $ $ F ( IMPLEMENTING RELATIONAL OPERATORS OVER ENCRYPTED RELATIONS F ! F y ( " H ! " F ( G9vPv#&)c66( s...
... compelling case for the coming dominance of main memory indatabase systems They go on to identify a series of key design elements that main memory database system should have, including a column ... the underlying hardware In this section, we introduce databasemanagement systems and outline recent trends in hardware We point out why those are key enablers for in- memory datamanagement which ... maintain a database [5] The DBMS is a software system that facilitates the process of defining, constructing, manipulating, and sharing databases among various users and applications It underpins...
... Research cohort database (n = 559) Type of OI Routine clinic database (n = 559) Routine clinic database (n = 1233) % underreporting of OI % events in 559 patients in underreporting routine clinic vs ... patients in the routine clinic database with the 559 patients in the research cohort databasein order to assess the level of underreporting in a larger number of patients in the clinic database ... 559 patients in research cohort and same 559 patients in routine clinic databases; and (Comparison B) 559 patients in research cohort database versus 1233 patients in routine clinic database Research...
... pipeline datasets are contained in the single table that is their destination or their point of origin In this world, maintaining data is a “submit it and forget it” activity, not one in which maintenance ... of InBase, Inc., has more than 24 years of experience in IT, specializing in enterprise data architecture, including the logical and physical modeling of very large database (VLDB) systems in ... along inflow pipelines, and posted transactions as data destined for some kind of logfile, and as moving towards that destination along outflow pipelines So if we can bring pending transactions into...
... performed in the two different scenarios In addition, scenario B was constructed so that a significant increase in time spending could be anticipated if there was no training effect The finding of ... experience with the iGel ™ (Intersurgical Ltd., Wokingham Berkshire, UK) device in a clinical setting prior to this study Only five of the participants had used it clinically within the previous two ... in contact with a wall making access from the head end impossible scenario was intended to represent the typical setting for controlled prehospital airway managementIn scenario B, the manikins...
... problems indata warehouses and data mining, secure Web datamanagement and e-commerce, secure collaborative, peer-to-peer and Grid data management, and security issues in stream data processing The ... Supporting Layer Visualization, Collaborative Computing, Mobile Computing, Knowledge-based Systems Layer 3: information extraction & sharing Data Warehousing, Data Mining, Internet DBs, ... H Stockinger, F Donno, E Laure, S Muzaffar, P.Z Kunszt, G Andronico, A.P Millar: Grid DataManagementin Action: Experience in Running and Supporting DataManagement Services in the EU DataGrid...
... topic in both industry and academic communities While cloud computing provides many benefits, it also brings in new challenges in research, especially in information security One of the main challenges ... outsourced database and its security [HILM02,MNT06] became a hot research topic indatabase and security communities, since 2002 Recently, there is growing interests in remote verification of integrity ... the cloud storage server’s promise on maintaining the data integrity Instead, they desire a technical way to verify that whether the cloud storage server is keeping his promise and following...
... nodes manage their database independently All databases are mapped to a mediated schema Each node maintains a database containing one or more relations Different nodes can maintain the same relation, ... focusing on generating an optimal join sequence When processing multi-way join queries in PDMS, we can reuse their techniques Compared to conventional database systems, optimizing multi-way join in ... processing Each node employs a local database to manage its data 29 3.2 ARCHITECTURE User Interface MetaStore Index Database Query Engine Interface for P2P Overlay Figure 3.2: Architecture of PDMS Indexes...
... scale data processing and generalize experiences from learning patterns on a set of training data and apply on a new data set slightly different from the training data without retraining Machine ... controlling virtual nodes inside a cloud like Amazon Web Services Whirr controls everything from launching, removing and maintaining instances that Hadoop then can utilize in a cluster Cloudera’s ... complexity of inter -cloud environment We deploy and integrate several open source tools for monitoring and analysing faults in the inter -cloud environment Keywords: Fault Management, Inter -Cloud, Cloud...