A sequential hierarchical superset implementation of neocortex memory system and its case study of automated network forensic analysis

Muhammad Fermi Pasha; Rahmat Budiarto; Sureswaran Ramadass; Mohammad Syukur

A sequential hierarchical superset implementation of neocortex memory system and its case study of automated network forensic analysis

Muhammad Fermi Pasha, Rahmat Budiarto, Sureswaran Ramadass, Mohammad Syukur

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Abstract

For a long time neural networks have been a popular approach for intelligent machines development and knowledge discovery. Despite its tremendous success, neural network actually suffers from problems which make it unable to model human intelligence. The main issues lies in the fact that it differs significantly with the actual processes in the brain except that it is being constructed of many interconnected units following the neuron structure. This paper proposes a sequential hierarchical superset (SHS) implementation of the brain's neocortex memory system. Inspired by the recent neuroscience theory called the memory-prediction framework, the proposed approach is applied into computer network domain to perform automated network forensic analysis.

Original language	English
Title of host publication	Proceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008 and Proceedings of the 2008 International Conference on Machine Learning; Models, Technologies and Applications
Pages	490-495
Number of pages	6
Publication status	Published - 2008
Externally published	Yes
Event	International Conference on Artificial Intelligence and International Conference on Machine Learning; Models, Technologies and Applications 2008 - Las Vegas, United States of America Duration: 14 Jul 2008 → 17 Jul 2008

Conference

Conference	International Conference on Artificial Intelligence and International Conference on Machine Learning; Models, Technologies and Applications 2008
Abbreviated title	ICAI 2008/MLMTA 2008
Country/Territory	United States of America
City	Las Vegas
Period	14/07/08 → 17/07/08

Keywords

Brain modeling
Knowledge representation
Learning network behavior
Machine intelligence method
Neocortex memory system

Cite this

Pasha, M. F., Budiarto, R., Ramadass, S., & Syukur, M. (2008). A sequential hierarchical superset implementation of neocortex memory system and its case study of automated network forensic analysis. In Proceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008 and Proceedings of the 2008 International Conference on Machine Learning; Models, Technologies and Applications (pp. 490-495)

Pasha, Muhammad Fermi ; Budiarto, Rahmat ; Ramadass, Sureswaran et al. / A sequential hierarchical superset implementation of neocortex memory system and its case study of automated network forensic analysis. Proceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008 and Proceedings of the 2008 International Conference on Machine Learning; Models, Technologies and Applications. 2008. pp. 490-495

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title = "A sequential hierarchical superset implementation of neocortex memory system and its case study of automated network forensic analysis",

abstract = "For a long time neural networks have been a popular approach for intelligent machines development and knowledge discovery. Despite its tremendous success, neural network actually suffers from problems which make it unable to model human intelligence. The main issues lies in the fact that it differs significantly with the actual processes in the brain except that it is being constructed of many interconnected units following the neuron structure. This paper proposes a sequential hierarchical superset (SHS) implementation of the brain's neocortex memory system. Inspired by the recent neuroscience theory called the memory-prediction framework, the proposed approach is applied into computer network domain to perform automated network forensic analysis.",

keywords = "Brain modeling, Knowledge representation, Learning network behavior, Machine intelligence method, Neocortex memory system",

author = "Pasha, {Muhammad Fermi} and Rahmat Budiarto and Sureswaran Ramadass and Mohammad Syukur",

note = "Copyright: Copyright 2012 Elsevier B.V., All rights reserved.; International Conference on Artificial Intelligence and International Conference on Machine Learning; Models, Technologies and Applications 2008, ICAI 2008/MLMTA 2008 ; Conference date: 14-07-2008 Through 17-07-2008",

year = "2008",

language = "English",

isbn = "1601320728",

pages = "490--495",

booktitle = "Proceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008 and Proceedings of the 2008 International Conference on Machine Learning; Models, Technologies and Applications",

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Pasha, MF, Budiarto, R, Ramadass, S & Syukur, M 2008, A sequential hierarchical superset implementation of neocortex memory system and its case study of automated network forensic analysis. in Proceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008 and Proceedings of the 2008 International Conference on Machine Learning; Models, Technologies and Applications. pp. 490-495, International Conference on Artificial Intelligence and International Conference on Machine Learning; Models, Technologies and Applications 2008, Las Vegas, Nevada, United States of America, 14/07/08.

A sequential hierarchical superset implementation of neocortex memory system and its case study of automated network forensic analysis. / Pasha, Muhammad Fermi; Budiarto, Rahmat; Ramadass, Sureswaran et al.
Proceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008 and Proceedings of the 2008 International Conference on Machine Learning; Models, Technologies and Applications. 2008. p. 490-495.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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N2 - For a long time neural networks have been a popular approach for intelligent machines development and knowledge discovery. Despite its tremendous success, neural network actually suffers from problems which make it unable to model human intelligence. The main issues lies in the fact that it differs significantly with the actual processes in the brain except that it is being constructed of many interconnected units following the neuron structure. This paper proposes a sequential hierarchical superset (SHS) implementation of the brain's neocortex memory system. Inspired by the recent neuroscience theory called the memory-prediction framework, the proposed approach is applied into computer network domain to perform automated network forensic analysis.

AB - For a long time neural networks have been a popular approach for intelligent machines development and knowledge discovery. Despite its tremendous success, neural network actually suffers from problems which make it unable to model human intelligence. The main issues lies in the fact that it differs significantly with the actual processes in the brain except that it is being constructed of many interconnected units following the neuron structure. This paper proposes a sequential hierarchical superset (SHS) implementation of the brain's neocortex memory system. Inspired by the recent neuroscience theory called the memory-prediction framework, the proposed approach is applied into computer network domain to perform automated network forensic analysis.

KW - Brain modeling

KW - Knowledge representation

KW - Learning network behavior

KW - Machine intelligence method

KW - Neocortex memory system

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SN - 9781601320728

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BT - Proceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008 and Proceedings of the 2008 International Conference on Machine Learning; Models, Technologies and Applications

T2 - International Conference on Artificial Intelligence and International Conference on Machine Learning; Models, Technologies and Applications 2008

Y2 - 14 July 2008 through 17 July 2008

ER -

Pasha MF, Budiarto R, Ramadass S, Syukur M. A sequential hierarchical superset implementation of neocortex memory system and its case study of automated network forensic analysis. In Proceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008 and Proceedings of the 2008 International Conference on Machine Learning; Models, Technologies and Applications. 2008. p. 490-495

A sequential hierarchical superset implementation of neocortex memory system and its case study of automated network forensic analysis

Abstract

Conference

Keywords

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Cite this