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The Real-Time IoT Data Security. / Hakizimana, E; Dik, G; Gervasi, O (редактор); Murgante, B (редактор); Garau, C (редактор); Karaca, Y (редактор); Lago, MNF (редактор); Scorza, F (редактор); Braga, AC (редактор).

COMPUTATIONAL SCIENCE AND ITS APPLICATIONS-ICCSA 2025 WORKSHOPS, PT XIII. Springer Nature, 2026. стр. 364-374 (Lecture Notes in Computer Science; Том 15898 LNCS).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференцииРецензирование

Harvard

Hakizimana, E, Dik, G, Gervasi, O (ред.), Murgante, B (ред.), Garau, C (ред.), Karaca, Y (ред.), Lago, MNF (ред.), Scorza, F (ред.) & Braga, AC (ред.) 2026, The Real-Time IoT Data Security. в COMPUTATIONAL SCIENCE AND ITS APPLICATIONS-ICCSA 2025 WORKSHOPS, PT XIII. Lecture Notes in Computer Science, Том. 15898 LNCS, Springer Nature, стр. 364-374, 25th International Conference on Computational Science and Its Applications, ICCSA 2025, Стамбул, Турция, 30/06/25. https://doi.org/10.1007/978-3-031-97657-5_22

APA

Hakizimana, E., Dik, G., Gervasi, O. (Ред.), Murgante, B. (Ред.), Garau, C. (Ред.), Karaca, Y. (Ред.), Lago, MNF. (Ред.), Scorza, F. (Ред.), & Braga, AC. (Ред.) (2026). The Real-Time IoT Data Security. в COMPUTATIONAL SCIENCE AND ITS APPLICATIONS-ICCSA 2025 WORKSHOPS, PT XIII (стр. 364-374). (Lecture Notes in Computer Science; Том 15898 LNCS). Springer Nature. https://doi.org/10.1007/978-3-031-97657-5_22

Vancouver

Hakizimana E, Dik G, Gervasi O, (ed.), Murgante B, (ed.), Garau C, (ed.), Karaca Y, (ed.) и пр. The Real-Time IoT Data Security. в COMPUTATIONAL SCIENCE AND ITS APPLICATIONS-ICCSA 2025 WORKSHOPS, PT XIII. Springer Nature. 2026. стр. 364-374. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-031-97657-5_22

Author

Hakizimana, E ; Dik, G ; Gervasi, O (редактор) ; Murgante, B (редактор) ; Garau, C (редактор) ; Karaca, Y (редактор) ; Lago, MNF (редактор) ; Scorza, F (редактор) ; Braga, AC (редактор). / The Real-Time IoT Data Security. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS-ICCSA 2025 WORKSHOPS, PT XIII. Springer Nature, 2026. стр. 364-374 (Lecture Notes in Computer Science).

BibTeX

@inproceedings{f8b5f52c70aa437d83ac7f228d3eb0ff,
title = "The Real-Time IoT Data Security",
abstract = "Our main area of study is IoT security, including its effects and ways to mitigate them in real time. This study focuses on Distributed Denial-of-Service (DDoS) assaults, which pose a serious risk to Internet of Things networks because of the growing number of unprotected devices. We examine the characteristics of DDoS attacks, examine the strategies to detect it, especially in the African setting, and suggest a detection methodology based on algorithms from Adaptive Resonance Theory (ART) and Long Short-Term Memory (LSTM). The detection performance is evaluated using metrics such as F1-score, precision, and recall. By offering an efficient DDoS detection framework, the study helps to improve real-time IoT data security.",
keywords = "Distributed Denial-of-Service (DDoS), Real-time Detection, Long Short-Term Memory (LSTM), Adaptive Resonance Theory (ART), Machine Learning, Cybersecurity, Network Security, Africa",
author = "E Hakizimana and G Dik and O Gervasi and B Murgante and C Garau and Y Karaca and MNF Lago and F Scorza and AC Braga",
note = "Times Cited in Web of Science Core Collection: 0 Total Times Cited: 0 Cited Reference Count: 13; null ; Conference date: 30-06-2025 Through 03-07-2025",
year = "2026",
doi = "10.1007/978-3-031-97657-5_22",
language = "Английский",
isbn = "978-3-031-97656-8",
series = "Lecture Notes in Computer Science",
publisher = "Springer Nature",
pages = "364--374",
booktitle = "COMPUTATIONAL SCIENCE AND ITS APPLICATIONS-ICCSA 2025 WORKSHOPS, PT XIII",
address = "Германия",
url = "http://iccsa.org",

}

RIS

TY - GEN

T1 - The Real-Time IoT Data Security

AU - Hakizimana, E

AU - Dik, G

A2 - Gervasi, O

A2 - Murgante, B

A2 - Garau, C

A2 - Karaca, Y

A2 - Lago, MNF

A2 - Scorza, F

A2 - Braga, AC

N1 - Times Cited in Web of Science Core Collection: 0 Total Times Cited: 0 Cited Reference Count: 13

PY - 2026

Y1 - 2026

N2 - Our main area of study is IoT security, including its effects and ways to mitigate them in real time. This study focuses on Distributed Denial-of-Service (DDoS) assaults, which pose a serious risk to Internet of Things networks because of the growing number of unprotected devices. We examine the characteristics of DDoS attacks, examine the strategies to detect it, especially in the African setting, and suggest a detection methodology based on algorithms from Adaptive Resonance Theory (ART) and Long Short-Term Memory (LSTM). The detection performance is evaluated using metrics such as F1-score, precision, and recall. By offering an efficient DDoS detection framework, the study helps to improve real-time IoT data security.

AB - Our main area of study is IoT security, including its effects and ways to mitigate them in real time. This study focuses on Distributed Denial-of-Service (DDoS) assaults, which pose a serious risk to Internet of Things networks because of the growing number of unprotected devices. We examine the characteristics of DDoS attacks, examine the strategies to detect it, especially in the African setting, and suggest a detection methodology based on algorithms from Adaptive Resonance Theory (ART) and Long Short-Term Memory (LSTM). The detection performance is evaluated using metrics such as F1-score, precision, and recall. By offering an efficient DDoS detection framework, the study helps to improve real-time IoT data security.

KW - Distributed Denial-of-Service (DDoS)

KW - Real-time Detection

KW - Long Short-Term Memory (LSTM)

KW - Adaptive Resonance Theory (ART)

KW - Machine Learning

KW - Cybersecurity

KW - Network Security

KW - Africa

UR - https://www.mendeley.com/catalogue/a23c141d-9598-3e6e-8826-d5473ddf4daf/

U2 - 10.1007/978-3-031-97657-5_22

DO - 10.1007/978-3-031-97657-5_22

M3 - статья в сборнике материалов конференции

SN - 978-3-031-97656-8

SN - 978-3-031-97657-5

T3 - Lecture Notes in Computer Science

SP - 364

EP - 374

BT - COMPUTATIONAL SCIENCE AND ITS APPLICATIONS-ICCSA 2025 WORKSHOPS, PT XIII

PB - Springer Nature

Y2 - 30 June 2025 through 3 July 2025

ER -

ID: 151949096