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01c01dsnap /CIC-IDS2017The CICIDS2017 dataset consists of labeled network flows, including full packet payloads in pcap format, the corresponding profiles and the labeled flows (GeneratedLabelledFlows.zip) and CSV files for machine and deep learning purpose (MachineLearningCSV.zip) are publicly available for researchers. If you are using our dataset, you should cite our related paper which outlining the details of the dataset and its underlying principles: Iman Sharafaldin, Arash Habibi Lashkari, and Ali A.… See the full description on the dataset page: https://huggingface.co/datasets/c01dsnap/CIC-IDS2017.tabular1M<n<10M5 likes1.2k downloads3y agoHugging Face02muzom /CIC-IDS2017The CICIDS2017 dataset consists of labeled network flows, including full packet payloads in pcap format, the corresponding profiles and the labeled flows (GeneratedLabelledFlows.zip) and CSV files for machine and deep learning purpose (MachineLearningCSV.zip) are publicly available for researchers. If you are using our dataset, you should cite our related paper which outlining the details of the dataset and its underlying principles: Iman Sharafaldin, Arash Habibi Lashkari, and Ali A.… See the full description on the dataset page: https://huggingface.co/datasets/muzom/CIC-IDS2017.tabular1M<n<10M0 likes69 downloads2mo agoHugging Face03abluva /CSE-CIC-IDS2018-V2This is the updated version CSE-CIC-IDS 2018 dataset. The data is normalised and 1 new class "Comb" which is a combination of existing attacks is added. To cite the dataset, please reference the original paper with DOI: 10.1109/SmartNets61466.2024.10577645. The paper is published in IEEE SmartNets and can be accessed here: https://www.researchgate.net/publication/382034618_Blender-GAN_Multi-Target_Conditional_Generative_Adversarial_Network_for_Novel_Class_Synthetic_Data_Generation. Citation… See the full description on the dataset page: https://huggingface.co/datasets/abluva/CSE-CIC-IDS2018-V2.tabular1M<n<10M1 likes28 downloads2y agoHugging Face04distil-whisper /whisper_transcriptions_token_idstext100K<n<1M0 likes26 downloads3y agoHugging Face05Alleyp /IDS_LOGS_DStabular10M<n<100M0 likes22 downloads1y agoHugging Face06JabaleNurAdnan /dml-fl-iot-ids DML-FL IoT IDS Benchmark Results Results from the paper: Dynamic Multilevel Clustered Federated Learning for IoT Intrusion Detection Grid (72 total runs) Dimension Options Models CNN, BiLSTM, CNN+BiLSTM, Transformer (fixed) FL Algorithms FedAvg, FedProx, FedNova Datasets CICIDS2017, UNSW-NB15, Edge-IIoTset Distributions IID, Non-IID (Dirichlet α=0.5) Clients / Rounds 30 clients / 30 rounds / 3 local epochs Files File… See the full description on the dataset page: https://huggingface.co/datasets/JabaleNurAdnan/dml-fl-iot-ids.tabulartabular-classificationn<1K0 likes21 downloads4mo agoHugging Face07ksay1o /CIC-IDS2017The CICIDS2017 dataset consists of labeled network flows, including full packet payloads in pcap format, the corresponding profiles and the labeled flows (GeneratedLabelledFlows.zip) and CSV files for machine and deep learning purpose (MachineLearningCSV.zip) are publicly available for researchers. If you are using our dataset, you should cite our related paper which outlining the details of the dataset and its underlying principles: Iman Sharafaldin, Arash Habibi Lashkari, and Ali A.… See the full description on the dataset page: https://huggingface.co/datasets/ksay1o/CIC-IDS2017.tabular1M<n<10M0 likes18 downloads8mo agoHugging Face08CassioLuisBatista /ereno-ids ERENO IEC-61850 Intrusion Detection Dataset Dataset for intrusion detection in IEC-61850 GOOSE smart grid networks. tabulartabular-classification1M<n<10M0 likes18 downloads3mo agoHugging Face09Ben11304 /Cic-Ids2017-DiFLtabular1K<n<10K0 likes17 downloads1y agoHugging Face10anesabdennebi /ids_att_v4text10K<n<100K0 likes15 downloads3y agoHugging Face11abluva /CIC-IDS-2017-V2The CIC-IDS-V2 is an extended version of the original CIC-IDS 2017 dataset. The dataset is normalised and 1 new class called "Comb" is added which is a combination of synthesised data of multiple non-benign classes. To cite the dataset, please reference the original paper with DOI: 10.1109/SmartNets61466.2024.10577645. The paper is published in IEEE SmartNets and can be accessed here:… See the full description on the dataset page: https://huggingface.co/datasets/abluva/CIC-IDS-2017-V2.tabular1M<n<10M0 likes15 downloads2y agoHugging Face12anesabdennebi /ids_test_alltexttext-classification100K<n<1M1 likes13 downloads3y agoHugging Face13petal0 /Augmented_CIC-IDS2017tabularfeature-extraction1M<n<10M0 likes10 downloads1y agoHugging Face14Talelaw /IDsvindeltextn<1K0 likes8 downloads3y agoHugging Face15vxfnull /CIC-IDS2017tabular1M<n<10M0 likes8 downloads7mo agoHugging Face16desonglll /CIC-IDS-2017-V2tabular1M<n<10M0 likes7 downloads1y agoHugging Face17JabaleNurAdnan /dml-fl-iot-ids-baselinetabularn<1K0 likes6 downloads4mo agoHugging Face18ada-datadruids /wiki_book_movie_ids_matchingtabular1K<n<10K0 likes5 downloads2y agoHugging Face19RezaulKarim03 /Joint_IDSF_Bangla Joint_IDFS_Bangla Dataset Description The Joint_IDFS_Bangla dataset is an intent detection and slot filling dataset in the Bangla language, derived from the SNIPS dataset originally in English. It includes Bangla sentences annotated for intent classification and slot filling tasks, commonly used in natural language understanding and named entity recognition applications. The training and development (validation) datasets were translated from English using the Llama 3… See the full description on the dataset page: https://huggingface.co/datasets/RezaulKarim03/Joint_IDSF_Bangla.texttoken-classificationn<1K0 likes3 downloads1y agoHugging Face20Najet-hamdi /CIC-IDS2018tabular10K<n<100K0 likes3 downloads1y agoHugging Face21Ben11304 /Cic-Ids2023-DiFLtabular10K<n<100K0 likes3 downloads1y agoHugging Face22maruuf /CIC-IDS2017gatedtabular1M<n<10M1 likes3 downloads1y agoHugging Face23linmalin /ids-sst-train Citation Information @inproceedings{socher-etal-2013-recursive, title = "Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank", author = "Socher, Richard and Perelygin, Alex and Wu, Jean and Chuang, Jason and Manning, Christopher D. and Ng, Andrew and Potts, Christopher", booktitle = "Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing", month = oct, year =… See the full description on the dataset page: https://huggingface.co/datasets/linmalin/ids-sst-train.tabulartext-classification10K<n<100K0 likes2 downloads2y agoHugging Face24siddartha382 /Host-IDSgatedtabular1M<n<10M0 likes1 downloads9mo agoHugging Face

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