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Siamak Layeghy

the university of queensland

23H指数
99论文数
2.6K被引数
收录论文 20
发表时间
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Deep sequence learning models for hotel room air conditioner runtime estimation via ambient sensing通过环境传感进行酒店房间空调运行时间估计的深度序列学习模型
errEnergy and Buildings
IF7.1
err2026-08-17
err0
errOAAI
errReza Serati; Gayan Kulatilleke; Siamak Layeghy; Farid Ariai; Sara Dolnicar; Marius Portmann
err分享
err收藏
eX-NIDS: A framework for explainable network intrusion detection leveraging Large Language ModelseX-NIDS：一种利用大型语言模型的可解释网络入侵检测框架
errComputers and Electrical Engineering
IF4.9
err2025-11-11
err0
PREAI
errPaul R.B. Houssel; Siamak Layeghy; Priyanka Singh; Marius Portmann
err分享
err收藏
EcoShower: Estimating shower duration using non-intrusive multi-modal sensor data via LSTM and Gated Transformer modelsEcoShower：基于LSTM和Gated Transformer模型，利用非侵入式多模态传感器数据估计淋浴时长
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2025-06-01
err0
errOAAI
errSablica, Lukas; Gruen, Bettina; Layeghy, Siamak; Portmann, Marius
err分享
err收藏
Does every hotel room need a minifridge? Empirical evidence from consumer self-reports and an automatic sensor-based system measuring electricity consumption and guest use
errANNALS OF TOURISM RESEARCH EMPIRICAL INSIGHTS
IF4.1
err2024-11-01
err2
errOAAI
errDolnicar, Sara; Greene, Danyelle; Layeghy, Siamak; Portmann, Marius
err分享
err收藏
A configurable anonymisation approach for network flow data: Balancing utility and privacy
errCOMPUTERS & ELECTRICAL ENGINEERING
IF4.9
err2024-09-01
err0
errOAAI
errManocchio, Liam Daly; Layeghy, Siamak; Gwynne, David; Portmann, Marius
err分享
err收藏
FlowTransformer: A transformer framework for flow-based network intrusion detection systems
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2024-05-01
err14
errOAAI
errManocchio, Liam Daly; Layeghy, Siamak; Lo, Wai Weng; Kulatilleke, Gayan K.; Sarhan, Mohanad; Portmann, Marius
err分享
err收藏
Benchmarking the benchmark - Comparing synthetic and real-world Network IDS datasets
errJOURNAL OF INFORMATION SECURITY AND APPLICATIONS
IF3.7
err2024-02-01
err5
errOAAI
errLayeghy, Siamak; Gallagher, Marcus; Marius, Portmann
err分享
err收藏
Exploring edge TPU for network intrusion detection in IoT探索用于IoT网络入侵检测的边缘TPU
errJOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
IF4
err2023-09-01
err12
PREAI
errHosseininoorbin, Seyedehfaezeh; Layeghy, Siamak; Sarhan, Mohanad; Jurdak, Raja; Portmann, Marius
err分享
err收藏
DI-NIDS: Domain invariant network intrusion detection system
errKNOWLEDGE-BASED SYSTEMS
IF7.6
err2023-08-01
err14
errOAAI
errLayeghy, Siamak; Baktashmotlagh, Mahsa; Portmann, Marius
err分享
err收藏
HARBIC: Human activity recognition using bi-stream convolutional neural network with dual joint time-frequency representation
errINTERNET OF THINGS
IF7.6
err2023-07-01
err4
PREAI
errHosseininoorbin, Seyedehfaezeh; Layeghy, Siamak; Kusy, Brano; Jurdak, Raja; Portmann, Marius
err分享
err收藏
Exploring Edge TPU for deep feed-forward neural networks
errINTERNET OF THINGS
IF7.6
err2023-07-01
err6
errOAAI
errHosseininoorbin, Seyedehfaezeh; Layeghy, Siamak; Kusy, Brano; Jurdak, Raja; Portmann, Marius
err分享
err收藏
XG-BoT: An explainable deep graph neural network for botnet detection and forensics
errINTERNET OF THINGS
IF7.6
err2023-07-01
err28
errOAAI
errLo, Wai Weng; Kulatilleke, Gayan; Sarhan, Mohanad; Layeghy, Siamak; Portmann, Marius
err分享
err收藏
Explainable Cross-domain Evaluation of ML-based Network Intrusion Detection Systems
errCOMPUTERS & ELECTRICAL ENGINEERING
IF4.9
err2023-05-01
err6
errOAAI
errLayeghy, Siamak; Portmann, Marius
err分享
err收藏
Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin
errAPPLIED INTELLIGENCE
IF3.5
err2023-03-06
err20
PREAI
errLo, Wai Weng; Kulatilleke, Gayan K.; Sarhan, Mohanad; Layeghy, Siamak; Portmann, Marius
err分享
err收藏
Anomal-E: A self-supervised network intrusion detection system based on graph neural networksAnomal-e: 基于图神经网络的自监督网络入侵检测系统
errKNOWLEDGE-BASED SYSTEMS
IF7.6
err2022-12-01
err53
errOAAI
errCaville, Evan; Lo, Wai Weng; Layeghy, Siamak; Portmann, Marius
err分享
err收藏
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-Based Network Intrusion Detection
errBIG DATA RESEARCH
IF4.2
err2022-11-01
err36
errOAAI
errSarhan, Mohanad; Layeghy, Siamak; Portmann, Marius
err分享
err收藏
Cyber Threat Intelligence Sharing Scheme Based on Federated Learning for Network Intrusion Detection基于联邦学习的网络入侵检测威胁情报共享方案
errJOURNAL OF NETWORK AND SYSTEMS MANAGEMENT
IF3.9
err2022-10-07
err51
errOAAI
errSarhan, Mohanad; Layeghy, Siamak; Moustafa, Nour; Portmann, Marius
err分享
err收藏
HBFL: A hierarchical blockchain-based federated learning framework for collaborative IoT intrusion detectionHBFL: 基于区块链的联合学习框架，用于协作物联网入侵检测
errCOMPUTERS & ELECTRICAL ENGINEERING
IF4.9
err2022-10-01
err38
errOAAI
errSarhan, Mohanad; Lo, Wai Weng; Layeghy, Siamak; Portmann, Marius
err分享
err收藏
Automatic fetal movement recognition from multi-channel accelerometry data
errCOMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
IF4.8
err2021-10-01
err18
PREAI
errMesbah, Mostefa; Khlif, Mohamed S.; Layeghy, Siamak; East, Christine E.; Dong, Shiying; Brodtmann, Amy; Colditz, Paul B.; Boashash, Boualem
err分享
err收藏
Deep learning-based cattle behaviour classification using joint time-frequency data representation
errCOMPUTERS AND ELECTRONICS IN AGRICULTURE
IF8.9
err2021-08-01
err26
errOAAI
errHosseininoorbin, Seyedehfaezeh; Layeghy, Siamak; Kusy, Brano; Jurdak, Raja; Bishop-Hurley, Greg J.; Greenwood, Paul L.; Portmann, Marius
err分享
err收藏

研究方向

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合作学者
合作期刊
S
Sara Dolničar
H 指数: 81 · 论文数: 753
B
B. Boashash
H 指数: 54 · 论文数: 524
N
Nour Moustafa
H 指数: 54 · 论文数: 274
P
Paul B. Colditz
H 指数: 49 · 论文数: 486
A
Amy Brodtmann
H 指数: 45 · 论文数: 348
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