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Privacyware CTO to Present Research on Enterprise Security Analytics and Machine-Learning - Privacyware Chief Technology Officer Dr. Konstantin Malkov will present a research paper entitled “On Extreme Principles of Machine Learning in Anomaly and Vulnerability Assessment” at the 2006 World Congress
Privacyware CTO to Present Research on Enterprise Security Analytics and Machine-Learning

 

PRZOOM - /newswire/ - Red Bank, NJ, United States, 2006/06/11 - Privacyware Chief Technology Officer Dr. Konstantin Malkov will present a research paper entitled “On Extreme Principles of Machine Learning in Anomaly and Vulnerability Assessment” at the 2006 World Congress.

   
 
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Dr. Konstantin Malkov will present a research paper entitled “On Extreme Principles of Machine Learning in Anomaly and Vulnerability Assessment” at the 2006 World Congress in Computer Science, Computer Engineering, and Applied Computing (WORLDCOMP'06) to be held June 26th-29th in Las Vegas, Nevada.

Dr. Malkov’s paper, co-written with Privacyware Enterprise Security Analytics Senior Researcher, Dr. Dmitry Tunitsky, addresses performance and accuracy limitations in the analysis of high-volume, high-dimension data within anomaly detection and analysis systems. The paper describes an adaptive, machine-learning approach that ensures greater throughput (requires less computational resources) and progressively improved accuracy in the detection of and derivation of knowledge about atypical activity among very large data sets in dynamic computing (and other) environments. The machine learning approaches described enable the analytic capabilities of Privacyware’s Adaptive Security Engine and its related Enterprise Security Intelligence solutions.

The 2006 World Congress in Computer Science, Computer Engineering, and Applied Computing (WORLDCOMP'06) is the largest annual gathering of researchers in computer science, computer engineering and applied computing. It assembles a spectrum of affiliated research conferences, workshops, and symposiums into a coordinated research meeting held in a common place at a common time.

Based in Red Bank, New Jersey, Dr. Malkov is the co-founder of Privacyware, an innovative provider of multi-layered endpoint defense and enterprise security intelligence software. Dr. Malkov is one of the world's foremost experts in non-linear mathematics and artificial intelligence. He is a former professor at Moscow State University and a founder of the Department of Non-linear Dynamic Analysis and the I&C Laboratory.

Event Details
Conference attendees may join Drs. Malkov and Tunitsky for a presentation and discussion of their research on Wednesday, June 28th, at 9:30 am in Meeting Room 2 of the Monte Carlo Hotel and Casino Conference Center. Additional information regarding WORLDCOMP'06 is available on the Web.

About Privacyware
Privacyware (privacyware.com) is an innovative provider of multi-layered endpoint defense and security intelligence software. Privacyware develops products that deliver immediate and adaptive protection from new and known threats and unauthorized use and enable more informed and responsive decision making by security and compliance administrators.

 
 
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Privacyware CTO to Present Research on Enterprise Security Analytics and Machine-Learning

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IMPORTANT INFORMATION: Issuance, publication or distribution of this press release in certain jurisdictions could be subject to restrictions. The recipient of this press release is responsible for using this press release and the information herein in accordance with the applicable rules and regulations in the particular jurisdiction. This press release does not constitute an offer or an offering to acquire or subscribe for any Privacyware securities in any jurisdiction including any other companies listed or named in this release.

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