COGNITIVE INFORMATION SECURITY USING A BEHAVIORAL RECOGNITION SYSTEM
Embodiments presented herein describe techniques for generating a linguistic model of input data obtained from a data source (e.g., a video camera). According to one embodiment of the present disclosure, a sequence of symbols is generated based on an ordered stream of normalized vectors generated from the input data. A dictionary of words is generated from combinations of the ordered sequence of symbols based on a frequency at which combinations of symbols appear in the ordered sequence of symbols. A plurality of phrases is generated based an ordered sequence of words from the dictionary observed in the ordered sequence of symbols based on a frequency by which combinations of words in ordered sequence of words appear relative to one another.
1 - 21 . (canceled)
22 . A method, comprising:
generating, via a processor, a stable model of words based on a statistical distribution of combinations of symbols, the symbols being associated with normalized data;
calculating, via the processor, a score for at least one word from the stable model of words based on a frequency of occurrence of the at least one word; and
sending a behavioral alert based on the score.
23 . The method of claim 22 , wherein the combinations of symbols are associated with a video feed.
24 . The method of claim 22 , further comprising dynamically updating the stable model of words based on a received stream of additional normalized data.
25 . The method of claim 22 , further comprising dynamically updating the stable model of words based on an ordered stream of additional normalized data.
26 . The method of claim 22 , further comprising receiving an ordered stream of data, wherein the symbols are associated with clusters generated from the received ordered stream of data.
27 . The method of claim 22 , wherein each word from the stable model of words represents an activity.
28 . The method of claim 22 , further comprising generating a neuro-linguistic model based on the stable model of words.
29 . A computer-readable storage medium storing processor-executable instructions that, when executed, cause the processor to:
generate a stable model of words based on a statistical distribution of combinations of symbols, the symbols being associated with normalized data;
calculate a score for at least one word from the stable model of words based on a frequency of occurrence of the at least one word; and
send a behavioral alert based on the score.
30 . The computer-readable storage medium of claim 29 , wherein the combinations of symbols are associated with a video feed.
31 . The computer-readable storage medium of claim 29 , further storing instructions to cause the processor to dynamically update the stable model of words based on a received stream of additional normalized data.
32 . The computer-readable storage medium of claim 29 , further storing instructions to cause the processor to dynamically update the stable model of words based on an ordered stream of additional normalized data.
33 . The computer-readable storage medium of claim 29 , further storing instructions to cause the processor to receive an ordered stream of data, wherein the symbols are associated with clusters generated from the received ordered stream of data.
34 . The computer-readable storage medium of claim 29 , wherein each word from the stable model of words represents an activity.
35 . The computer-readable storage medium of claim 29 , further storing instructions to cause the processor to generate a neuro-linguistic model based on the stable model of words.
36 . A system, comprising:
a processor; and
a memory storing instructions to cause the processor to:
generate, via a processor, a stable model of words based on a statistical distribution of combinations of symbols, the symbols being associated with normalized data;
calculate, via the processor, a score for at least one word from the stable model of words based on a frequency of occurrence of the at least one word; and
send a behavioral alert based on the score.
37 . The system of claim 36 , wherein the combinations of symbols are associated with a video feed.
38 . The system of claim 36 , further storing instructions to cause the processor to dynamically update the stable model of words based on a received stream of additional normalized data.
39 . The system of claim 36 , further storing instructions to cause the processor to dynamically update the stable model of words based on an ordered stream of additional normalized data.
40 . The system of claim 36 , further storing instructions to cause the processor to receive an ordered stream of data, wherein the symbols are associated with clusters generated from the received ordered stream of data.
41 . The system of claim 36 , wherein each word from the stable model of words represents an activity.