[FRIAM] Pre-crime Insider mapping

[Patrick Reilly]

Sounds like a "promising" pre-crime detection system.  Could be used  
to justify a search warrant, but then, who needs  a judge's  
permission anymore?



On Mar 6, 2008, at 6:23 AM, Joost Rekveld wrote:

> quote from the article:
>
> "The algorithm, dubbed the Potential Insider Threat Detection
> Algorithm, is a "promising tool" for aiding IT departments in
> narrowing down the list of subjects in a breach investigation, the
> researchers said. However, the experimental analysis of Enron's email
> did not correctly identify the top managers who were involved in the
> company's fraud."
>
> so the method was developed, tested, and it failed.
> right.
>
> anyway it seems that according to these people anyone with
> 'excentric' interests should be labeled as a threat: obscure hobbies,
> knowledge of foreign languages are all signs of a potential threat ?
> great ! seems these people work in very boring companies indeed !
>
> ciao,
>
> Joost.
>
>
>
>
> On  6 Mar, 2008, at 3:06 AM, James Steiner wrote:
>
>> Sounds like their whole concept is flawed--that an employee who keeps
>> secrets from the workplace is a potentially bad employee? Wouldn't  
>> the
>> ability to compartmentalize work email topics and personal email
>> topics be a sign of a *good* employee?
>>
>> ~~James
>> _________________
>> www.turtlezero.com
>>
>> On Wed, Mar 5, 2008 at 8:35 PM, Joseph Dalessandro <joe at nan0.com>
>> wrote:
>>> Mining of email data could help companies spot dangerous employees
>>>  before they do damage
>>>
>>>  http://www.darkreading.com/document.asp?doc_id=147627
>>>
>>>  Three researchers at the Air Force Institute of Technology -- James
>>>  Okolica, Gilbert Peterson, and Robert Mills -- have published a
>>> paper
>>>  that outlines an algorithm for mining email data and identifying
>>>  patterns of transmission that might tell managers when employees  
>>> are
>>>  keeping a secret.
>>>
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>>>
>>
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>
>
> ============================================================
> FRIAM Applied Complexity Group listserv
> Meets Fridays 9a-11:30 at cafe at St. John's College
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