(Part 2)
(Part 2)
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== Part 2 ==
 
== Part 2 ==
  
I don't believe that Eve will be able to decrypt the message because I don't think that the system is linear.  If the system was linear she would be able to decrypt the message without the inverse of the secret matrix, however, for a system to be linear:
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I believe that Eve will be able to decrypt the message because I think that the system is both linear and time invariantThe system is linear because it behaves like the picture in the link below: (the system is the secret matrix, a and b are scalars that are multiplied)
 
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[[Media:301_schematic_ECE301Fall2008mboutin.pdf]]
  
 
The system is obviously time invariant because it doesn't matter what time you evaluate the encrypted code with the secret matrix, it will always give you the same output.  I'm not exactly sure how she would do it, I need some time to think about it.  Does anyone have any ideas?  Or is this completly wrong?
 
The system is obviously time invariant because it doesn't matter what time you evaluate the encrypted code with the secret matrix, it will always give you the same output.  I'm not exactly sure how she would do it, I need some time to think about it.  Does anyone have any ideas?  Or is this completly wrong?
  
 
== Part 3 ==
 
== Part 3 ==

Revision as of 08:10, 17 September 2008

Part 1

Since Bob does not know a specific output given a specific input, he must use the inverse of the secret matrix.

Part 2

I believe that Eve will be able to decrypt the message because I think that the system is both linear and time invariant. The system is linear because it behaves like the picture in the link below: (the system is the secret matrix, a and b are scalars that are multiplied)

Media:301_schematic_ECE301Fall2008mboutin.pdf

The system is obviously time invariant because it doesn't matter what time you evaluate the encrypted code with the secret matrix, it will always give you the same output. I'm not exactly sure how she would do it, I need some time to think about it. Does anyone have any ideas? Or is this completly wrong?

Part 3

Alumni Liaison

BSEE 2004, current Ph.D. student researching signal and image processing.

Landis Huffman