Methods for categorizing input data

Details Methods for categorizing input data Methods for categorizing input data

2005-11-28

2010-06-29

Simitoski, Michael J (Department: 2439)

Information security

Monitoring or scanning of software or data including attack...

C380S028000

Reexamination Certificate

active

07748036

ABSTRACT:
Methods are provided for categorizing input data into a selected data type category. Exemplary embodiments are directed to the categorization of binary input data, for example random input data, as either compressed or encrypted based on statistical analysis. To this end, at least a portion of the input data is analyzed to derive a statistical test result for the portion that is indicative of a degree of randomness of the data. The data is then categorized as either compressed or encrypted based on the statistical test result.

REFERENCES:
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Unknown author. “Random Number Generation”, 1999.
Weber, Michael et al. “A Toolkit for Detecting and Analyzing Malicious Software”, 2002 IEEE.
Kirby, Andrew. “Problem: Devising a General Approach for the Detection of Encrypted Files or Packets”, Mar. 2002.
Menezes, Alfred J. et al. Handbook of Applied Cryptography, 1997 CRC Press, pp. 169-190.
Schneier, Bruce. Applied Cryptography, Second Edition, 1996 John Wiley & Sons, Inc., pp. 226-227.

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