Home | News | Company | Contact    
 
 

>> In The News

 

>> Press Releases

 
January 24, 2012
Privacyware Enhances Web Application Security and Eases Solution Deployment with Updated IIS Web Application Firewall.
 
December 28, 2011
Privacyware Named Finalist for Global Excellence in Web Application Security.
 
October 11, 2011
Privacyware Adds New Anti-Malware & Cybercrime Defense Features to Protect Windows PCs and Servers.
 
August 15, 2011
Privacyware Web App Firewall Wins 2011 Golden Bridge Award.
 
July 21, 2011
Privacyware Selected as Finalist in the 2011 Golden Bridge Awards.
 
June 8, 2011
IPv6 Support, Enhanced Anti-Logger and Hacking Protection Added to Privacyware PC Security Offering.
 
May 12, 2011
Privacyware Strengthens ThreatSentry IIS WAF with New Release.

 
March 25, 2011
Privacyware Named 2011 Hot Companies Finalist by Network Products Guide.

 
February 17, 2011
Privacyware Earns Gold ISV Competency in Microsoft Partner Network.

 
January 6, 2011
Privacyware Named Finalist for Global Product Excellence by Info Security Products Guide.

 

  >> News Archives

 

 

 


Privacyware CTO to Present Research on Enterprise Security Analytics and Machine-Learning at WORLDCOMP'06

RED BANK, N.J., June 26, 2006 – 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 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 at: http://www.world-academy-of-science.org/worldcomp06/ws


About Privacyware

Privacyware 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. For more information, please visit: www.privacyware.com

-----------------------------------------------------------------------|

Press Contact:
Greg Salvato
PWI, Inc./Privacyware
Tel: 732-212-8110

Email: gsalvato@privacyware.com


 

 

 

©1999-2012 PWI, Inc. All rights reserved. Privacy policy


personal firewall, intrusion prevention, security information management