Insights into attacks’ progression: Prediction of spatio-temporal behavior of DDoS attacks

Ahmed Abusnaina; Mohammed Abuhamad; Dae Hun Nyang; Songqing Chen; An Wang; David Mohaisen

doi:10.1007/978-3-030-65299-9_27

Insights into attacks’ progression: Prediction of spatio-temporal behavior of DDoS attacks

Ahmed Abusnaina, Mohammed Abuhamad, Dae Hun Nyang, Songqing Chen, An Wang, David Mohaisen

Loyola University Chicago

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

Original language	English
Title of host publication	Information Security Applications - 21st International Conference, WISA 2020, Revised Selected Papers
Editors	Ilsun You
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	362-374
Number of pages	13
ISBN (Print)	9783030652982
DOIs	https://doi.org/10.1007/978-3-030-65299-9_27
State	Published - 2020
Event	21st International Conference on Information Security Applications, WISA 2020 - Jeju Island, Korea, Republic of Duration: Aug 26 2020 → Aug 28 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12583 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	21st International Conference on Information Security Applications, WISA 2020
Country/Territory	Korea, Republic of
City	Jeju Island
Period	8/26/20 → 8/28/20

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

DDoS Attacks Prediction
Deep learning

Access to Document

10.1007/978-3-030-65299-9_27

Cite this

Abusnaina, A., Abuhamad, M., Nyang, D. H., Chen, S., Wang, A., & Mohaisen, D. (2020). Insights into attacks’ progression: Prediction of spatio-temporal behavior of DDoS attacks. In I. You (Ed.), Information Security Applications - 21st International Conference, WISA 2020, Revised Selected Papers (pp. 362-374). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12583 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-65299-9_27

Insights into attacks’ progression: Prediction of spatio-temporal behavior of DDoS attacks. / Abusnaina, Ahmed; Abuhamad, Mohammed; Nyang, Dae Hun et al.
Information Security Applications - 21st International Conference, WISA 2020, Revised Selected Papers. ed. / Ilsun You. Springer Science and Business Media Deutschland GmbH, 2020. p. 362-374 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12583 LNCS).

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

Abusnaina, A, Abuhamad, M, Nyang, DH, Chen, S, Wang, A & Mohaisen, D 2020, Insights into attacks’ progression: Prediction of spatio-temporal behavior of DDoS attacks. in I You (ed.), Information Security Applications - 21st International Conference, WISA 2020, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12583 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 362-374, 21st International Conference on Information Security Applications, WISA 2020, Jeju Island, Korea, Republic of, 8/26/20. https://doi.org/10.1007/978-3-030-65299-9_27

Abusnaina A, Abuhamad M, Nyang DH, Chen S, Wang A, Mohaisen D. Insights into attacks’ progression: Prediction of spatio-temporal behavior of DDoS attacks. In You I, editor, Information Security Applications - 21st International Conference, WISA 2020, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2020. p. 362-374. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-65299-9_27

Abusnaina, Ahmed ; Abuhamad, Mohammed ; Nyang, Dae Hun et al. / Insights into attacks’ progression : Prediction of spatio-temporal behavior of DDoS attacks. Information Security Applications - 21st International Conference, WISA 2020, Revised Selected Papers. editor / Ilsun You. Springer Science and Business Media Deutschland GmbH, 2020. pp. 362-374 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{6ae31e7815454ecbbeff9f3644f73188,

title = "Insights into attacks{\textquoteright} progression: Prediction of spatio-temporal behavior of DDoS attacks",

keywords = "DDoS Attacks Prediction, Deep learning",

author = "Ahmed Abusnaina and Mohammed Abuhamad and Nyang, {Dae Hun} and Songqing Chen and An Wang and David Mohaisen",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; 21st International Conference on Information Security Applications, WISA 2020 ; Conference date: 26-08-2020 Through 28-08-2020",

year = "2020",

doi = "10.1007/978-3-030-65299-9_27",

language = "English",

isbn = "9783030652982",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "362--374",

editor = "Ilsun You",

booktitle = "Information Security Applications - 21st International Conference, WISA 2020, Revised Selected Papers",

}

TY - GEN

T1 - Insights into attacks’ progression

T2 - 21st International Conference on Information Security Applications, WISA 2020

AU - Abusnaina, Ahmed

AU - Abuhamad, Mohammed

AU - Nyang, Dae Hun

AU - Chen, Songqing

AU - Wang, An

AU - Mohaisen, David

PY - 2020

Y1 - 2020

KW - DDoS Attacks Prediction

KW - Deep learning

UR - http://www.scopus.com/inward/record.url?scp=85098250553&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85098250553&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-65299-9_27

DO - 10.1007/978-3-030-65299-9_27

M3 - Conference contribution

AN - SCOPUS:85098250553

SN - 9783030652982

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 362

EP - 374

BT - Information Security Applications - 21st International Conference, WISA 2020, Revised Selected Papers

A2 - You, Ilsun

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 26 August 2020 through 28 August 2020

ER -

Insights into attacks’ progression: Prediction of spatio-temporal behavior of DDoS attacks

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

Other files and links

Cite this