2026-10-11T22:12:56Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33212805 2026-09-30T17:06:07Z category_28924 category_29155 category_29173 item_type_3 month_year_09_2026

SYN-PCAP-RELEASE Bekouassa mohammed (24551421) Mounir Tahar Abbes (24552921) Kadri Walid (24552924) Cybersecurity and privacy not elsewhere classified Adversarial machine learning Machine learning not elsewhere classified Network Intrusion Detection,Knowledge Distillation,Bidirectional Long Short-Term Memory,Time Series, Lightweight Robustness Evaluation sequence learning performance Pcap Files <p dir="ltr">Syn-PCAP is an episode-structured synthetic PCAP benchmark for evaluating order-dependent (temporal) learning in sequence-based network intrusion detection systems (NIDS). Unlike existing public benchmarks, which are released only as processed flow records, this dataset provides raw packet-level access alongside a transparent, reproducible generation procedure. Traffic is organized into repeated BENIGN → TRANSITION → ATTACK episodes covering five attack families (reconnaissance, brute force, web exploitation, DoS, and IoT abuse), with benign and malicious traffic sharing targets, services, and protocols to reduce reliance on static shortcuts. This release includes the PCAP capture, the episode label log, NFStream flow extraction and windowing code, four order-perturbation implementations (full shuffle, partial permutation, jitter-sort, block mismatch), and training/evaluation code for six sequence models (LSTM, GRU, TCN, CNN1D, Transformer, DeepSets), supporting the paper "A Synthetic PCAP Benchmark for Evaluating Temporal Learning in Sequence-Based Intrusion Detection.</p> 2026-09-30T17:06:07Z Dataset Dataset 10.6084/m9.figshare.33212805.v2 https://figshare.com/articles/dataset/SYN-PCAP-RELEASE/33212805 CC BY 4.0