A novel host intrusion detection system using neural network

Parisa Lotfallahtabrizi; Yasser Morgan

doi:10.1109/CCWC.2018.8301663

A novel host intrusion detection system using neural network

Parisa Lotfallahtabrizi, Yasser Morgan

Department of Systems and Enterprises

University of Regina

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

5 Scopus citations

Abstract

Over the last decades, the development of information technology in the field of computer systems and smart-devices has been increasing rapidly. Especially, due to the improvement of smart-devices, they have become a necessary ubiquitous device influencing our daily life. Nowadays, with the popularity of computer systems and smart-devices, the exposure to security risks has been on the rise throughout the world. Therefore, systems security (e.g. computer systems and smart-devices security) has become a significant concern. In order to alleviate security risks, cybersecurity researchers have concentrated more on presenting novel, high-qualified, and integrated security systems.

Original language	English
Title of host publication	2018 IEEE 8th Annual Computing and Communication Workshop and Conference, CCWC 2018
Editors	Satyajit Chakrabarti, Himadri Nath Saha
Pages	124-130
Number of pages	7
ISBN (Electronic)	9781538646496
DOIs	https://doi.org/10.1109/CCWC.2018.8301663
State	Published - 22 Feb 2018
Event	8th IEEE Annual Computing and Communication Workshop and Conference, CCWC 2018 - Las Vegas, United States Duration: 8 Jan 2018 → 10 Jan 2018

Publication series

Name	2018 IEEE 8th Annual Computing and Communication Workshop and Conference, CCWC 2018
Volume	2018-January

Conference

Conference	8th IEEE Annual Computing and Communication Workshop and Conference, CCWC 2018
Country/Territory	United States
City	Las Vegas
Period	8/01/18 → 10/01/18

Keywords

anomaly-based system
artificial neural networks
back propagation
cybersecurity
feed forward neural network
host intrusion detection system
pattern recognition
security threats
signature-based system
smart-devices

Access to Document

10.1109/CCWC.2018.8301663

Cite this

Lotfallahtabrizi, P., & Morgan, Y. (2018). A novel host intrusion detection system using neural network. In S. Chakrabarti, & H. N. Saha (Eds.), 2018 IEEE 8th Annual Computing and Communication Workshop and Conference, CCWC 2018 (pp. 124-130). (2018 IEEE 8th Annual Computing and Communication Workshop and Conference, CCWC 2018; Vol. 2018-January). https://doi.org/10.1109/CCWC.2018.8301663

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title = "A novel host intrusion detection system using neural network",

abstract = "Over the last decades, the development of information technology in the field of computer systems and smart-devices has been increasing rapidly. Especially, due to the improvement of smart-devices, they have become a necessary ubiquitous device influencing our daily life. Nowadays, with the popularity of computer systems and smart-devices, the exposure to security risks has been on the rise throughout the world. Therefore, systems security (e.g. computer systems and smart-devices security) has become a significant concern. In order to alleviate security risks, cybersecurity researchers have concentrated more on presenting novel, high-qualified, and integrated security systems.",

keywords = "anomaly-based system, artificial neural networks, back propagation, cybersecurity, feed forward neural network, host intrusion detection system, pattern recognition, security threats, signature-based system, smart-devices",

author = "Parisa Lotfallahtabrizi and Yasser Morgan",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 8th IEEE Annual Computing and Communication Workshop and Conference, CCWC 2018 ; Conference date: 08-01-2018 Through 10-01-2018",

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Lotfallahtabrizi, P & Morgan, Y 2018, A novel host intrusion detection system using neural network. in S Chakrabarti & HN Saha (eds), 2018 IEEE 8th Annual Computing and Communication Workshop and Conference, CCWC 2018. 2018 IEEE 8th Annual Computing and Communication Workshop and Conference, CCWC 2018, vol. 2018-January, pp. 124-130, 8th IEEE Annual Computing and Communication Workshop and Conference, CCWC 2018, Las Vegas, United States, 8/01/18. https://doi.org/10.1109/CCWC.2018.8301663

A novel host intrusion detection system using neural network. / Lotfallahtabrizi, Parisa; Morgan, Yasser.
2018 IEEE 8th Annual Computing and Communication Workshop and Conference, CCWC 2018. ed. / Satyajit Chakrabarti; Himadri Nath Saha. 2018. p. 124-130 (2018 IEEE 8th Annual Computing and Communication Workshop and Conference, CCWC 2018; Vol. 2018-January).

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

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N2 - Over the last decades, the development of information technology in the field of computer systems and smart-devices has been increasing rapidly. Especially, due to the improvement of smart-devices, they have become a necessary ubiquitous device influencing our daily life. Nowadays, with the popularity of computer systems and smart-devices, the exposure to security risks has been on the rise throughout the world. Therefore, systems security (e.g. computer systems and smart-devices security) has become a significant concern. In order to alleviate security risks, cybersecurity researchers have concentrated more on presenting novel, high-qualified, and integrated security systems.

AB - Over the last decades, the development of information technology in the field of computer systems and smart-devices has been increasing rapidly. Especially, due to the improvement of smart-devices, they have become a necessary ubiquitous device influencing our daily life. Nowadays, with the popularity of computer systems and smart-devices, the exposure to security risks has been on the rise throughout the world. Therefore, systems security (e.g. computer systems and smart-devices security) has become a significant concern. In order to alleviate security risks, cybersecurity researchers have concentrated more on presenting novel, high-qualified, and integrated security systems.

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A novel host intrusion detection system using neural network

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Keywords

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