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9781288319954 - Using Hierarchical Temporal Memory for Detecting Anomalous Network Activity by Bonhoff, Gerod M (10 results)
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paperback. Condition: Very Good. Publisher overstock. May have remainder mark / minor shelfwear. 99% of orders arrive in 4-10 days. Discounted shipping on multiple books.
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Using Hierarchical Temporal Memory for Detecting Anomalous Network Activity
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 44.52
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Using Hierarchical Temporal Memory for Detecting Anomalous Network Activity
Language: English
Published by BiblioScholar 2012-11, 2012
ISBN 10: 1288319959 ISBN 13: 9781288319954
PF. Condition: New.
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Condition: New. KlappentextrnrnThis research is motivated by the creation of intelligently autonomous cybercraft to reside in the intangible environment of cyberspace and maintain domain superiority. Specifically, this paper offers 7 challenges to the developme.
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Paperback. Condition: Like New. Like New. book.
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Using Hierarchical Temporal Memory for Detecting Anomalous Network Activity
Language: English
Published by Creative Media Partners, LLC Nov 2012, 2012
ISBN 10: 1288319959 ISBN 13: 9781288319954
Taschenbuch. Condition: Neu. Neuware - This research is motivated by the creation of intelligently autonomous cybercraft to reside in the intangible environment of cyberspace and maintain domain superiority. Specifically, this paper offers 7 challenges to the development of such a cybercraft. The focus is analysis of the claims Hierarchical Temporal Memory (HTM). In particular, HTM theory claims to facilitate intelligence in machines via accurate predictions. It further claims to be able to make accurate predictions of unusual worlds, like cyberspace. The primary objective is to provide evidence that HTM facilitates accurate predictions of unusual worlds. The second objective is to lend evidence that prediction is a good indication of intelligence. A commercial implementation of HTM theory is tested as an anomaly detection system and its ability to define network traffic (a major aspect of cyberspace) as benign or malicious is evaluated. Through the course of testing the performance of this implementation is poor. An independent algorithm is developed from a variant understanding of HTM theory. This alternate algorithm is independent of cyberspace and developed solely (but also in a contrived abstract world) to lend credibility to the use of prediction as a method of testing intelligence.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Using Hierarchical Temporal Memory for Detecting Anomalous Network Activity
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 45.69
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Using Hierarchical Temporal Memory for Detecting Anomalous Network Activity
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 51.79
£ 13.74 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
