Activation functions for deep learning: An application for rare attack detection in wireless local area network (WLAN)

Viet Thang Vu; Thanh Quyen Bui Thi; Hong Seng Gan; Viet Vu Vu; Do Manh Quang; Vu Thanh Duc; Dinh Lam Pham

doi:10.23919/ICACT56868.2023.10079326

Activation functions for deep learning: An application for rare attack detection in wireless local area network (WLAN)

Viet Thang Vu^*, Thanh Quyen Bui Thi, Hong Seng Gan, Viet Vu Vu, Do Manh Quang, Vu Thanh Duc, Dinh Lam Pham

^*Corresponding author for this work

School of AI and Advanced Computing

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

Abstract

As we know, there are now more and more cyberattacks that have a serious impact on individuals, businesses, and governments. Attacks are increasingly sophisticated and modern, requiring competent entities to study and devise solutions to quickly detect and minimize user risks. In fact, attacks come in many different ways and many different environments. In this paper, we do an empirical study on the deep learning model using some kinds of activation functions applied for detecting attacks in the wireless local area network (WLAN) data. We also point out some discussions about activation functions for future research.

Original language	English
Title of host publication	25th International Conference on Advanced Communications Technology
Subtitle of host publication	New Cyber Security Risks for Enterprise Amidst COVID-19 Pandemic!!, ICACT 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	59-64
Number of pages	6
ISBN (Electronic)	9791188428106
DOIs	https://doi.org/10.23919/ICACT56868.2023.10079326
Publication status	Published - 2023
Event	25th International Conference on Advanced Communications Technology, ICACT 2023 - Pyeongchang, Korea, Republic of Duration: 19 Feb 2023 → 22 Feb 2023

Publication series

Name	International Conference on Advanced Communication Technology, ICACT
Volume	2023-February
ISSN (Print)	1738-9445

Conference

Conference	25th International Conference on Advanced Communications Technology, ICACT 2023
Country/Territory	Korea, Republic of
City	Pyeongchang
Period	19/02/23 → 22/02/23

Keywords

Deep learning
Intrusion Detection System
Rare Attack
WLAN
activation function

Access to Document

10.23919/ICACT56868.2023.10079326

Cite this

Vu, V. T., Thi, T. Q. B., Gan, H. S., Vu, V. V., Quang, D. M., Duc, V. T., & Pham, D. L. (2023). Activation functions for deep learning: An application for rare attack detection in wireless local area network (WLAN). In 25th International Conference on Advanced Communications Technology: New Cyber Security Risks for Enterprise Amidst COVID-19 Pandemic!!, ICACT 2023 (pp. 59-64). (International Conference on Advanced Communication Technology, ICACT; Vol. 2023-February). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ICACT56868.2023.10079326

Vu, Viet Thang ; Thi, Thanh Quyen Bui ; Gan, Hong Seng et al. / Activation functions for deep learning : An application for rare attack detection in wireless local area network (WLAN). 25th International Conference on Advanced Communications Technology: New Cyber Security Risks for Enterprise Amidst COVID-19 Pandemic!!, ICACT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 59-64 (International Conference on Advanced Communication Technology, ICACT).

@inproceedings{e35b7a8bee7f418f91d85fd941559980,

title = "Activation functions for deep learning: An application for rare attack detection in wireless local area network (WLAN)",

abstract = "As we know, there are now more and more cyberattacks that have a serious impact on individuals, businesses, and governments. Attacks are increasingly sophisticated and modern, requiring competent entities to study and devise solutions to quickly detect and minimize user risks. In fact, attacks come in many different ways and many different environments. In this paper, we do an empirical study on the deep learning model using some kinds of activation functions applied for detecting attacks in the wireless local area network (WLAN) data. We also point out some discussions about activation functions for future research.",

keywords = "Deep learning, Intrusion Detection System, Rare Attack, WLAN, activation function",

author = "Vu, {Viet Thang} and Thi, {Thanh Quyen Bui} and Gan, {Hong Seng} and Vu, {Viet Vu} and Quang, {Do Manh} and Duc, {Vu Thanh} and Pham, {Dinh Lam}",

note = "Publisher Copyright: {\textcopyright} 2023 Global IT Research Institute (GiRI).; 25th International Conference on Advanced Communications Technology, ICACT 2023 ; Conference date: 19-02-2023 Through 22-02-2023",

year = "2023",

doi = "10.23919/ICACT56868.2023.10079326",

language = "English",

series = "International Conference on Advanced Communication Technology, ICACT",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "59--64",

booktitle = "25th International Conference on Advanced Communications Technology",

}

Vu, VT, Thi, TQB, Gan, HS, Vu, VV, Quang, DM, Duc, VT & Pham, DL 2023, Activation functions for deep learning: An application for rare attack detection in wireless local area network (WLAN). in 25th International Conference on Advanced Communications Technology: New Cyber Security Risks for Enterprise Amidst COVID-19 Pandemic!!, ICACT 2023. International Conference on Advanced Communication Technology, ICACT, vol. 2023-February, Institute of Electrical and Electronics Engineers Inc., pp. 59-64, 25th International Conference on Advanced Communications Technology, ICACT 2023, Pyeongchang, Korea, Republic of, 19/02/23. https://doi.org/10.23919/ICACT56868.2023.10079326

Activation functions for deep learning: An application for rare attack detection in wireless local area network (WLAN). / Vu, Viet Thang; Thi, Thanh Quyen Bui; Gan, Hong Seng et al.
25th International Conference on Advanced Communications Technology: New Cyber Security Risks for Enterprise Amidst COVID-19 Pandemic!!, ICACT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 59-64 (International Conference on Advanced Communication Technology, ICACT; Vol. 2023-February).

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

TY - GEN

T1 - Activation functions for deep learning

T2 - 25th International Conference on Advanced Communications Technology, ICACT 2023

AU - Vu, Viet Thang

AU - Thi, Thanh Quyen Bui

AU - Gan, Hong Seng

AU - Vu, Viet Vu

AU - Quang, Do Manh

AU - Duc, Vu Thanh

AU - Pham, Dinh Lam

PY - 2023

Y1 - 2023

N2 - As we know, there are now more and more cyberattacks that have a serious impact on individuals, businesses, and governments. Attacks are increasingly sophisticated and modern, requiring competent entities to study and devise solutions to quickly detect and minimize user risks. In fact, attacks come in many different ways and many different environments. In this paper, we do an empirical study on the deep learning model using some kinds of activation functions applied for detecting attacks in the wireless local area network (WLAN) data. We also point out some discussions about activation functions for future research.

AB - As we know, there are now more and more cyberattacks that have a serious impact on individuals, businesses, and governments. Attacks are increasingly sophisticated and modern, requiring competent entities to study and devise solutions to quickly detect and minimize user risks. In fact, attacks come in many different ways and many different environments. In this paper, we do an empirical study on the deep learning model using some kinds of activation functions applied for detecting attacks in the wireless local area network (WLAN) data. We also point out some discussions about activation functions for future research.

KW - Deep learning

KW - Intrusion Detection System

KW - Rare Attack

KW - WLAN

KW - activation function

UR - http://www.scopus.com/inward/record.url?scp=85152195194&partnerID=8YFLogxK

U2 - 10.23919/ICACT56868.2023.10079326

DO - 10.23919/ICACT56868.2023.10079326

M3 - Conference Proceeding

AN - SCOPUS:85152195194

T3 - International Conference on Advanced Communication Technology, ICACT

SP - 59

EP - 64

BT - 25th International Conference on Advanced Communications Technology

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 19 February 2023 through 22 February 2023

ER -

Vu VT, Thi TQB, Gan HS, Vu VV, Quang DM, Duc VT et al. Activation functions for deep learning: An application for rare attack detection in wireless local area network (WLAN). In 25th International Conference on Advanced Communications Technology: New Cyber Security Risks for Enterprise Amidst COVID-19 Pandemic!!, ICACT 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 59-64. (International Conference on Advanced Communication Technology, ICACT). doi: 10.23919/ICACT56868.2023.10079326

Activation functions for deep learning: An application for rare attack detection in wireless local area network (WLAN)

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this