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nju-zhangsq
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RMISC

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Time Series Forecasting
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Tags:
time series
multivariate time series
multivariate time series foundation model
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  1. CSE-CIC-IDS2018/meta.json +96 -0
  2. CSE-CIC-IDS2018/part0.parquet +3 -0
  3. CSE-CIC-IDS2018/part1.parquet +3 -0
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+ "name": "CSE-CIC-IDS2018",
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+ "source": "https://www.unb.ca/cic/datasets/ids-2018.html",
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+ "desp": "This dataset is the result of a collaborative project between the Communications Security Establishment (CSE) and The Canadian Institute for Cybersecurity (CIC) that use the notion of profiles to generate cybersecurity dataset in a systematic manner. It incluides a detailed description of intrusions along with abstract distribution models for applications, protocols, or lower level network entities. The dataset includes seven different attack scenarios, namely Brute-force, Heartbleed, Botnet, DoS, DDoS, Web attacks, and infiltration of the network from inside. The attacking infrastructure includes 50 machines and the victim organization has 5 departments includes 420 PCs and 30 servers. This dataset includes the network traffic and log files of each machine from the victim side, along with 80 network traffic features extracted from captured traffic using CICFlowMeter-V3.",
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+ "domain": "Others",
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+ "license": "Unknown",
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+ "targets": [
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+ "Flow Duration",
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+ "Flow Byts/s",
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+ "Flow IAT Mean",
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+ "FIN Flag Cnt",
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+ "ACK Flag Cnt",
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+ "URG Flag Cnt",
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+ "CWE Flag Count",
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+ "ECE Flag Cnt",
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+ "Down/Up Ratio",
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+ "Pkt Size Avg",
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+ "Fwd Seg Size Avg",
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+ "Bwd Seg Size Avg",
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+ "Fwd Byts/b Avg",
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+ "Init Fwd Win Byts",
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+ "Fwd Act Data Pkts",
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+ "Active Mean",
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+ "Active Std",
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+ "Active Max",
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+ "Active Min",
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+ "Idle Mean",
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+ "Idle Std",
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+ "Idle Min"
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+ ],
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+ "timestamp": "Timestamp",
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+ "num_datapoints": 1266169554,
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+ "split": "train",
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+ "quality": "high",
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+ "timestamp_as_covariate": true
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+ }
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