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whitepaper Possibly their organizations were previously exempt from compliancy because they did not file electronic claims, a prerequisite for classification as a provider under the HIPAA guidelines. Most medical administrators have grappled with the issue of...
[14 May 2008]
News The package will be used to protect data which has a Restricted classification or less, and will now be deployed on laptops not connected to the Defence Information Infrastructure. The Ministry of Defence (MoD) is to protect 20,000 laptops using...
[08 May 2008]
whitepaper Data security should be a key component of all system policies and practices related to payment acceptance and transaction processing. As customers seek out merchants that are reputable and reliable, they expect assurance that their account...
[11 Apr 2008]
whitepaper This paper present an attack-stage oriented classification of alerts using Snort as an example, and demonstrate that this effectively improves real-time Situation Awareness of multistage attacks. Correlation and fusion of intrusion alerts to...
[11 Apr 2008]
whitepaper Support Vector Machines (SVM) is used for classification. Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network services by...
[11 Apr 2008]
whitepaper Finally we illustrate the superiority of our approach in different classification tasks by comparing the classification performance of our proposed Maximum Mutual Information HMMs (MMIHMMs) with standard Maximum Likelihood HMMs (HMMs), in the case...
[10 Apr 2008]
whitepaper The classification and conditioning of packets occurs on DS boundary nodes (or interior nodes - with limited conditioning) within the organization's core network and other DS Domains. The Differentiated Services (DiffServ or DS) model classifies...
[10 Apr 2008]
Comment Indeed, information classification is a prime example of an under-resourced area. New research suggests there are signs it is finally taking centre stage in many progressive businesses, says Martin Atherton.
[28 Mar 2008]
whitepaper Edgenet, and its Big Hammer Data Division, helps retailers and manufacturers serve customers by hosting a Global Data Synchronization Network (GDSN) and Marketing data pools of basic product attributes, providing a common classification for products.
[23 Mar 2008]
whitepaper As if existing IT investments weren't a large enough strain on provider and payor budgets, the U.S.health care industry is facing a new challenge: ICD-10 (International Statistical Classification of Diseases and Related Health Problems, Version 10...
[13 Mar 2008]
whitepaper Passive network monitoring is a complex activity that mainly consists in packet capturing and classification. Unfortunately this architecture often cannot be applied to gigabit networks, as the amount of data to capture is too large for the...
[04 Mar 2008]
whitepaper Per-sample Phong shading and post-classification is performed in hardware, giving immediate feedback to changes in the visualization of a dataset. Adding new features, such as pre-integrated classification, can be accomplished using the existing...
[28 Feb 2008]
Comment IBM's X-Force reports that America and Germany were the only two countries consistently among the top three hosting sources for each classification of unwanted internet content monitored throughout 2007.
[27 Feb 2008]
whitepaper The author presents three experiments in automatic mail foldering and spam filtering, showing that naiýve bayes outperforms RIPPER in classification accuracy. Growth in the use of email for communication and the corresponding growth in the volume...
[20 Feb 2008]
whitepaper The author presents three experiments in automatic mail foldering and spam filtering, showing that naiyve bayes outperforms RIPPER in classification accuracy. Growth in the use of email for communication and the corresponding growth in the volume...
[19 Feb 2008]
whitepaper Classification of email is an important everyday task for a large and growing number of users. This paper describes the i-ems (Intelligent-Electronic Mail Sorter) mail interface, which offers a view of the inbox based on predicted classifications...
[19 Feb 2008]
whitepaper Classification of email is an important everyday task for a large and growing number of users. This paper describes the i-ems (Intelligent-Electronic Mail Sorter) mail interface, which offers a view of the inbox based on predicted classifi-cations...
[19 Feb 2008]
whitepaper This paper explores this latter approach and proposes a semi-supervised classification method that can accommodate both known and unknown applications. To the best of one's knowledge, this is the first work to use semi-supervised learning...
[14 Feb 2008]
whitepaper The approach uses a hierarchical classification of the queries, and threshold based variants of familiar data mining techniques to dynamically decide the level of resolution at which to learn the statistics.
[23 Jan 2008]
whitepaper The techniques include classification of data using some training samples, discovering hidden associations between different attributes of data, and clustering techniques to identify intrinsic cluster behavior within the data.
[16 Jan 2008]
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