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ARIoTEDef: Adversarially Robust IoT Early Defense System Based on Self-Evolution against Multi-step Attacks

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-22915-7_40openalex-snapshot
Technical Aspects of Cyber Kill Chain
inferredcites →https://doi.org/10.1007/978-3-642-24797-2_4openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1016/j.cose.2018.03.001openalex-snapshot
A systematic survey on multi-step attack detection
inferredcites →https://doi.org/10.1023/a:1009748302351openalex-snapshot
Discovery of Frequent Episodes in Event Sequences
inferredcites →https://doi.org/10.1109/access.2020.2983568openalex-snapshot
An Intrusion Detection Model With Hierarchical Attention Mechanism
inferredcites →https://doi.org/10.1109/eurosp.2016.36openalex-snapshot
The Limitations of Deep Learning in Adversarial Settings
inferredcites →https://doi.org/10.1109/icdcs.1993.287730openalex-snapshot
Proceedings of IEEE International Conference on Distributed Computing Systems - ICDCS '93
inferredcites →https://doi.org/10.1109/proc.1973.9030openalex-snapshot
The viterbi algorithm
inferredcites →https://doi.org/10.1145/1868447.1868466openalex-snapshot
A network in a laptop
inferredcites →https://doi.org/10.1145/3167132.3167239openalex-snapshot
GAC
inferredcites →https://doi.org/10.1145/3321705openalex-snapshot
Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security
inferredcites →https://doi.org/10.1145/3465055openalex-snapshot
An Attentive Survey of Attention Models
inferredcites →https://doi.org/10.1155/2017/1750637openalex-snapshot
An Automata Based Intrusion Detection Method for Internet of Things
inferredcites →https://doi.org/10.1186/s40537-020-00346-1openalex-snapshot
Anomaly detection optimization using big data and deep learning to reduce false-positive
inferredcites →https://doi.org/10.14722/ndss.2020openalex-snapshot
Proceedings 2020 Network and Distributed System Security Symposium
inferredcites →https://doi.org/10.18653/v1/d15-1166openalex-snapshot
Effective Approaches to Attention-based Neural Machine Translation
inferredcites →https://doi.org/10.3390/sym12101695openalex-snapshot
SAAE-DNN: Deep Learning Method on Intrusion Detection

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s10791-026-10617-9openalex-snapshot
Deep Kronecker hashing generative adversarial network for intrusion detection in IoT against adversarial attacks
inferred← citeshttps://doi.org/10.1007/s44443-026-01181-9openalex-snapshot
Strategic allocation and dynamic rescue for multi-defender stackelberg security games with infectious attacks
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111877openalex-snapshot
Dynamic network management games for optimal adaptive defense decisions against malware propagation in IoT and ad-Hoc networks
inferred← citeshttps://doi.org/10.1016/j.comnet.2026.112474openalex-snapshot
LITMUS: A lightweight collaborative intrusion detection system for host oriented mimicry attack detection in Industrial Internet of Things networks with dishonest collaborators in the majority
inferred← citeshttps://doi.org/10.1038/s41598-026-46141-5openalex-snapshot
FeXAI: Federated and Explainable AI for cyber threat detection in IoT-enabled smart transportation systems
inferred← citeshttps://doi.org/10.1109/comst.2026.3658670openalex-snapshot
Pivotal AI Paradigms for Satellite Communication Security: From Machine Learning to Large Language Models
inferred← citeshttps://doi.org/10.1109/icasst68917.2026.11484115openalex-snapshot
Deep Learning in Cybersecurity: A Review of Attacks, Defenses, and Interpretability Approaches
inferred← citeshttps://doi.org/10.1109/jiot.2026.3689273openalex-snapshot
CIPHER: A Collaborative IDS Placement and Scheduling Framework for Host-Oriented Mimicry Attack Detection in IoT Networks
inferred← citeshttps://doi.org/10.1109/tdsc.2025.3562600openalex-snapshot
CARD: Robustness-Preserving Transfer Learning for Network Intrusion Detection via Contrastive Adversarial Representation Distillation
inferred← citeshttps://doi.org/10.1145/3715121openalex-snapshot
Dimensional Robustness Certification for Deep Neural Networks in Network Intrusion Detection Systems
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