Updated: 24.11.2002; 13:27:59 Uhr.
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Thursday, October 4, 2001

11 Sep 2001: Risks of electronic surveillance

In the aftermath of the September 11 terrorist attacks on the USA, a special feature on automatic electronic surveillance (i.e. Echelon, Carnivore, spy satellites, and all that) was broadcast by the BBC ClickOnline, hosted by Stephen Cole, Sep. 22).

The feature included a lengthy interview with Dr. Kevin O'Brian of RAND Europe about the failure of US intelligence to gather enough information to pre-empt the attacks. Of particular interest to RISKS readers is the following quote from Dr. O'Brian:

"We've seen reports that they may have actually been spoofing or misdirecting intelligence services quite knowingly, and that they are aware of the fact that they could use the technology against the intelligence services by sending out false signals by sending out false reports and rumours, by using technology such as mobile phone communications or Internet messages to actually misdirect the intelligence services' gaze away from their attacks."

The risks are obvious: The over-reliance on massive computer-based automatic systems for scanning and filtering that has characterised much of US intelligence gathering in the post-soviet era can only be effective as long as the bad guys are not aware of what you are doing. The simple fact that computers systems are rule-based (and AI-systems exceedingly so) permit enemy agents to play clever counter-intelligence games, where plotting the response to certain stimuli can be used to "map out" in detail how an automatic surveillance system will respond to diverse inputs and hence "learn" how to misdirect the system on a massive scale.

A human-based intelligence system, in particularly a highly organized one, is of course also vulnerable to this type of attack, but the rule-based nature of an AI-based system makes the attack easier and more reliable

- gisle hannemyr ( gisle@hannemyr.no - http://hjem.sol.no/gisle/ ) [Gisle Hannemyr via risks-digest Volume 21, Issue 68]
0:00 # G!


Maximillian Dornseif, 2002.
 
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