E-LIB Suche - Ergebnisse für: Layeghy, Siamak

1

FlowTransformer: A transformer framework for flow-based net..:

Manocchio, Liam Daly ; Layeghy, Siamak ; Lo, Wai Weng...
Expert Systems with Applications. 241 (2024) - p. 122564 , 2024

Link: https://doi.org/10.1016/..

2

A configurable anonymisation approach for network flow data..:

Manocchio, Liam Daly ; Layeghy, Siamak ; Gwynne, David.
Computers and Electrical Engineering. 118 (2024) - p. 109465 , 2024

Link: https://doi.org/10.1016/..

3

Feature extraction for machine learning-based intrusion det..:

Sarhan, Mohanad ; Layeghy, Siamak ; Moustafa, Nour..
Digital Communications and Networks. 10 (2024) 1 - p. 205-216 , 2024

Link: https://doi.org/10.1016/..

4

Benchmarking the benchmark — Comparing synthetic and real-w..:

Layeghy, Siamak ; Gallagher, Marcus ; Portmann, Marius
Journal of Information Security and Applications. 80 (2024) - p. 103689 , 2024

Link: https://doi.org/10.1016/..

5

Does every hotel room need a minifridge? Empirical evidence..:

Dolnicar, Sara ; Greene, Danyelle ; Layeghy, Siamak.
Annals of Tourism Research Empirical Insights. 5 (2024) 2 - p. 100134 , 2024

Link: https://doi.org/10.1016/..

6

DI-NIDS: Domain invariant network intrusion detection syste:

Layeghy, Siamak ; Baktashmotlagh, Mahsa ; Portmann, Marius
Knowledge-Based Systems. 273 (2023) - p. 110626 , 2023

Link: https://doi.org/10.1016/..

7

From zero-shot machine learning to zero-day attack detectio:

Sarhan, Mohanad ; Layeghy, Siamak ; Gallagher, Marcus.
International Journal of Information Security. 22 (2023) 4 - p. 947-959 , 2023

Link: https://doi.org/10.1007/..

8

Inspection-L: self-supervised GNN node embeddings for money..:

Lo, Wai Weng ; Kulatilleke, Gayan K. ; Sarhan, Mohanad..
Applied Intelligence. 53 (2023) 16 - p. 19406-19417 , 2023

Link: https://doi.org/10.1007/..

9

HARBIC: Human activity recognition using bi-stream convolut..:

Hosseininoorbin, Seyedehfaezeh ; Layeghy, Siamak ; Kusy, Brano..
Internet of Things. 22 (2023) - p. 100816 , 2023

Link: https://doi.org/10.1016/..

10

Exploring edge TPU for network intrusion detection in IoT:

Hosseininoorbin, Seyedehfaezeh ; Layeghy, Siamak ; Sarhan, Mohanad..
Journal of Parallel and Distributed Computing. 179 (2023) - p. 104712 , 2023

Link: https://doi.org/10.1016/..

11

Exploring Edge TPU for deep feed-forward neural networks:

Hosseininoorbin, Seyedehfaezeh ; Layeghy, Siamak ; Kusy, Brano..
Internet of Things. 22 (2023) - p. 100749 , 2023

Link: https://doi.org/10.1016/..

12

XG-BoT: An explainable deep graph neural network for botnet..:

Lo, Wai Weng ; Kulatilleke, Gayan ; Sarhan, Mohanad..
Internet of Things. 22 (2023) - p. 100747 , 2023

Link: https://doi.org/10.1016/..

13

DOC-NAD: A Hybrid Deep One-class Classifier for Network Ano..:

, In: 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW),

Sarhan, Mohanad ; Kulatilleke, Gayan ; Lo, Wai Weng.. - p. 1-7 , 2023

Link: https://doi.org/10.1109/..

14

Explainable Cross-domain Evaluation of ML-based Network Int..:

Layeghy, Siamak ; Portmann, Marius
Computers and Electrical Engineering. 108 (2023) - p. 108692 , 2023

Link: https://doi.org/10.1016/..

15

Network Intrusion Detection System in a Light Bulb:

, In: 2022 32nd International Telecommunication Networks and Applications Conference (ITNAC),

Manocchio, Liam Daly ; Layeghy, Siamak ; Portmann, Marius - p. 1-8 , 2022

Link: https://doi.org/10.1109/..