[Cisspstudy] Question on IDS

[An.Dang at do.treas.gov]

Statistical anomaly detection and pattern matching IDS use a database to draw inferences from.  

"A" would be the best answer out of the 4 choices, though not necessarily the correct answer.  (if you use Shon Harris AIO 4th Ed's reasoning/strategy)

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Today's Topics:

   1. Question on IDS (Saurabh Bhargava)
   2. Re: Question on IDS (Jef A.)


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Message: 1
Date: Fri, 15 Jan 2010 16:52:29 +0530 (IST)
From: Saurabh Bhargava <catchbhargava at yahoo.com>
To: The CISSP Study Mailing list <cisspstudy at cccure.org>
Subject: [Cisspstudy] Question on IDS
Message-ID: <354277.25971.qm at web94807.mail.in2.yahoo.com>
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Hello Everyone: 

Need your thoughts on below question: 

1. which of the following is the is a weakness of both statistical anomaly detection and pattern matching 

A. Lack of learning model
B. inability to run in real time
C. Requirement to monitor every event
D. Lack of ability to scale

I think answer is C  but author says its A. 

My reasoning - Statistical IDS creates a profile of ?normal? and compares activities to this profile. For that, its put in leaning mode and if an attack was happening during "learning" mode, it may go undetected in production environment as well. 

Pattern matching depends on signatures so may not be able to pick up "zero day" attacks. 


Thoughts pls?

cheers, SB


      
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Message: 2
Date: Fri, 15 Jan 2010 08:23:10 -0500
From: "Jef A." <jeff132 at gmail.com>
To: The CISSP Study Mailing list <cisspstudy at cccure.org>
Subject: Re: [Cisspstudy] Question on IDS
Message-ID:
	<2e06e8e61001150523o65f9456vccdbd25f86295bbd at mail.gmail.com>
Content-Type: text/plain; charset="windows-1252"

This question confused me a bit also but this is my reasoning for choosing
C. I was immediately able to rule out choices B & D because they
just didn't apply. In regards to answer A i considered the idea that
statistical anomaly detection is actually learning by comparing current
activities to behavior that it believes to be normal. Pattern matching
doesn't learn at all because it is only looking for a specific pattern, it
is not capable of finding any deviations from that pattern. However the
requirement to monitor every event is something that both devices must do
and i guess they are considering it a weakness.

i am curious to here what others have to say about this questions.

On Fri, Jan 15, 2010 at 6:22 AM, Saurabh Bhargava
<catchbhargava at yahoo.com>wrote:

>
> Hello Everyone:
>
> Need your thoughts on below question:
>
> 1. which of the following is the is a weakness of both statistical anomaly
> detection and pattern matching
>
> A. Lack of learning model
> B. inability to run in real time
> C. Requirement to monitor every event
> D. Lack of ability to scale
>
> I think answer is C  but author says its A.
>
> My reasoning - Statistical IDS creates a profile of ?normal? and compares
> activities to this profile. For that, its put in leaning mode and if an
> attack was happening during "learning" mode, it may go undetected in
> production environment as well.
>
> Pattern matching depends on signatures so may not be able to pick up "zero
> day" attacks.
>
>
> Thoughts pls?
>
> cheers, SB
>
>
>
>
> _______________________________________________
> cisspstudy mailing list
> cisspstudy at cccure.org
> http://cccure.org/mailman/listinfo/cisspstudy_cccure.org
>
>
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