Adaptive Modeling of Administrator Response to Hacktivist DDoS Attacks: A Comparison of Human and AI-Coached Decision Dynamics

Mohammed Hamed; Zeide Kayyal; Jan Treur; Peter H.M.P. Roelofsma

doi:10.1007/978-3-032-20752-4_16

Adaptive Modeling of Administrator Response to Hacktivist DDoS Attacks: A Comparison of Human and AI-Coached Decision Dynamics

Mohammed Hamed
, Zeide Kayyal
, Jan Treur^*
, Peter H.M.P. Roelofsma

^*Corresponding author for this work

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

Abstract

Hacktivists are behind Distributed Denial of Service (DDoS) attacks, which are becoming more dangerous for digital infrastructure and are often based on political or ideological goals. Using an adaptive network-based simulation model, this study looks at how AI coaching can help people respond better to these kinds of attacks. Our stidy showed that the designed AI coach helped the system get better faster by giving it real-time feedback and correcting the human knowledge underlying human behaviour. This made it easier to make decisions under pressure.

Original language	English
Title of host publication	Focus on Artificial Intelligence in Intelligent Systems Design
Subtitle of host publication	Proceedings of 9th Computational Methods in Systems and Software 2025, Volume 3
Editors	Radek Silhavy, Petr Silhavy
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	206-218
Number of pages	13
Volume	3
ISBN (Electronic)	9783032207524
ISBN (Print)	9783032207517
DOIs	https://doi.org/10.1007/978-3-032-20752-4_16
Publication status	Published - 2026
Event	9th International Conference on Computational Methods in Systems and Software, CoMeSySo 2025 - Zlín, Czech Republic Duration: 1 Oct 2025 → 3 Oct 2025

Publication series

Name	Lecture Notes in Networks and Systems
Publisher	Springer
Volume	1900 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Name	CoMeSySo: Proceedings of the Computational Methods in Systems and Software
Publisher	Springer
Volume	2025

Conference

Conference	9th International Conference on Computational Methods in Systems and Software, CoMeSySo 2025
Country/Territory	Czech Republic
City	Zlín
Period	1/10/25 → 3/10/25

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Keywords

Adaptive Networks
AI Coaching
Hacktivist DDoS Attacks

Access to Document

10.1007/978-3-032-20752-4_16

Persistent URL (handle)

Persistent link

Cite this

Hamed, M., Kayyal, Z., Treur, J., & Roelofsma, P. H. M. P. (2026). Adaptive Modeling of Administrator Response to Hacktivist DDoS Attacks: A Comparison of Human and AI-Coached Decision Dynamics. In R. Silhavy, & P. Silhavy (Eds.), Focus on Artificial Intelligence in Intelligent Systems Design: Proceedings of 9th Computational Methods in Systems and Software 2025, Volume 3 (Vol. 3, pp. 206-218). (Lecture Notes in Networks and Systems; Vol. 1900 LNNS), (CoMeSySo: Proceedings of the Computational Methods in Systems and Software; Vol. 2025). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-20752-4_16

Hamed, Mohammed ; Kayyal, Zeide ; Treur, Jan et al. / Adaptive Modeling of Administrator Response to Hacktivist DDoS Attacks : A Comparison of Human and AI-Coached Decision Dynamics. Focus on Artificial Intelligence in Intelligent Systems Design: Proceedings of 9th Computational Methods in Systems and Software 2025, Volume 3. editor / Radek Silhavy ; Petr Silhavy. Vol. 3 Springer Science and Business Media Deutschland GmbH, 2026. pp. 206-218 (Lecture Notes in Networks and Systems). (CoMeSySo: Proceedings of the Computational Methods in Systems and Software).

@inproceedings{13559d865c4242c7a9966a50a7357a2e,

title = "Adaptive Modeling of Administrator Response to Hacktivist DDoS Attacks: A Comparison of Human and AI-Coached Decision Dynamics",

abstract = "Hacktivists are behind Distributed Denial of Service (DDoS) attacks, which are becoming more dangerous for digital infrastructure and are often based on political or ideological goals. Using an adaptive network-based simulation model, this study looks at how AI coaching can help people respond better to these kinds of attacks. Our stidy showed that the designed AI coach helped the system get better faster by giving it real-time feedback and correcting the human knowledge underlying human behaviour. This made it easier to make decisions under pressure.",

keywords = "Adaptive Networks, AI Coaching, Hacktivist DDoS Attacks",

author = "Mohammed Hamed and Zeide Kayyal and Jan Treur and Roelofsma, \{Peter H.M.P.\}",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.; 9th International Conference on Computational Methods in Systems and Software, CoMeSySo 2025 ; Conference date: 01-10-2025 Through 03-10-2025",

year = "2026",

doi = "10.1007/978-3-032-20752-4\_16",

language = "English",

isbn = "9783032207517",

volume = "3",

series = "Lecture Notes in Networks and Systems",

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

pages = "206--218",

editor = "Radek Silhavy and Petr Silhavy",

booktitle = "Focus on Artificial Intelligence in Intelligent Systems Design",

address = "Germany",

}

Hamed, M, Kayyal, Z, Treur, J & Roelofsma, PHMP 2026, Adaptive Modeling of Administrator Response to Hacktivist DDoS Attacks: A Comparison of Human and AI-Coached Decision Dynamics. in R Silhavy & P Silhavy (eds), Focus on Artificial Intelligence in Intelligent Systems Design: Proceedings of 9th Computational Methods in Systems and Software 2025, Volume 3. vol. 3, Lecture Notes in Networks and Systems, vol. 1900 LNNS, CoMeSySo: Proceedings of the Computational Methods in Systems and Software, vol. 2025, Springer Science and Business Media Deutschland GmbH, pp. 206-218, 9th International Conference on Computational Methods in Systems and Software, CoMeSySo 2025, Zlín, Czech Republic, 1/10/25. https://doi.org/10.1007/978-3-032-20752-4_16

Adaptive Modeling of Administrator Response to Hacktivist DDoS Attacks: A Comparison of Human and AI-Coached Decision Dynamics. / Hamed, Mohammed; Kayyal, Zeide; Treur, Jan et al.
Focus on Artificial Intelligence in Intelligent Systems Design: Proceedings of 9th Computational Methods in Systems and Software 2025, Volume 3. ed. / Radek Silhavy; Petr Silhavy. Vol. 3 Springer Science and Business Media Deutschland GmbH, 2026. p. 206-218 (Lecture Notes in Networks and Systems; Vol. 1900 LNNS), (CoMeSySo: Proceedings of the Computational Methods in Systems and Software; Vol. 2025).

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

TY - GEN

T1 - Adaptive Modeling of Administrator Response to Hacktivist DDoS Attacks

T2 - 9th International Conference on Computational Methods in Systems and Software, CoMeSySo 2025

AU - Hamed, Mohammed

AU - Kayyal, Zeide

AU - Treur, Jan

AU - Roelofsma, Peter H.M.P.

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

PY - 2026

Y1 - 2026

N2 - Hacktivists are behind Distributed Denial of Service (DDoS) attacks, which are becoming more dangerous for digital infrastructure and are often based on political or ideological goals. Using an adaptive network-based simulation model, this study looks at how AI coaching can help people respond better to these kinds of attacks. Our stidy showed that the designed AI coach helped the system get better faster by giving it real-time feedback and correcting the human knowledge underlying human behaviour. This made it easier to make decisions under pressure.

AB - Hacktivists are behind Distributed Denial of Service (DDoS) attacks, which are becoming more dangerous for digital infrastructure and are often based on political or ideological goals. Using an adaptive network-based simulation model, this study looks at how AI coaching can help people respond better to these kinds of attacks. Our stidy showed that the designed AI coach helped the system get better faster by giving it real-time feedback and correcting the human knowledge underlying human behaviour. This made it easier to make decisions under pressure.

KW - Adaptive Networks

KW - AI Coaching

KW - Hacktivist DDoS Attacks

UR - https://www.scopus.com/pages/publications/105040355944

UR - https://www.scopus.com/pages/publications/105040355944#tab=citedBy

U2 - 10.1007/978-3-032-20752-4_16

DO - 10.1007/978-3-032-20752-4_16

M3 - Conference contribution

AN - SCOPUS:105040355944

SN - 9783032207517

VL - 3

T3 - Lecture Notes in Networks and Systems

SP - 206

EP - 218

BT - Focus on Artificial Intelligence in Intelligent Systems Design

A2 - Silhavy, Radek

A2 - Silhavy, Petr

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 1 October 2025 through 3 October 2025

ER -

Hamed M, Kayyal Z, Treur J, Roelofsma PHMP. Adaptive Modeling of Administrator Response to Hacktivist DDoS Attacks: A Comparison of Human and AI-Coached Decision Dynamics. In Silhavy R, Silhavy P, editors, Focus on Artificial Intelligence in Intelligent Systems Design: Proceedings of 9th Computational Methods in Systems and Software 2025, Volume 3. Vol. 3. Springer Science and Business Media Deutschland GmbH. 2026. p. 206-218. (Lecture Notes in Networks and Systems). (CoMeSySo: Proceedings of the Computational Methods in Systems and Software). Epub 2026 May 1. doi: 10.1007/978-3-032-20752-4_16

Adaptive Modeling of Administrator Response to Hacktivist DDoS Attacks: A Comparison of Human and AI-Coached Decision Dynamics

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Persistent URL (handle)

Other files and links

Fingerprint

Cite this