PLAA incrementally generates packet-level features for adversarial traffic in NIDS, monitoring semantic integrity at each step and reporting 92.78% average evasion success on three public datasets.
Scalable federated unlearning via isolated and coded sharding,
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PLAA: Packet-level Adversarial Attacks in Network Traffic Detection
PLAA incrementally generates packet-level features for adversarial traffic in NIDS, monitoring semantic integrity at each step and reporting 92.78% average evasion success on three public datasets.