New statistical model examines massive amounts of data to automatically spot anomalies

To Inform is to Influence

Date: July 31, 2017

Source: American Statistical AssociationSummary:With

Summary: With the number of security breaches and cyber-attacks on the rise, cyber-security experts may soon have a new tool in the fight against online threats. Scientists have developed a new statistical method for monitoring networks to automatically detect ‘strange behavior’ and ultimately prevent intrusion.

FULL STORY

 With the number of security breaches and cyber-attacks on the rise and reports of the financial burden of these varying from $400 billion a year to $2.1 trillion by 2019, cyber-security experts may soon have a new tool in the fight against online threats. Patrick Rubin-Delanchy, Heilbronn Research Fellow in Statistics at the University of Oxford, will present a new statistical method for monitoring networks to automatically detect “strange behavior” and ultimately prevent intrusion on Monday, July 31, at the 2017 Joint Statistical Meetings (JSM).

Data arising in cyber-security applications often have a network structure…

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