Skip to content
DraconiticResearch
Search Sources API
203,952 studies31 sourcesUpdated 31 min ago
Peer-reviewedCC BYMethodsX

Adaptive edge-cloud isolation forest-autoencoder pipeline in real-time with delta policy feedback for zero-day IoT smartwatch intrusion detection

  1. 1School of Computer Science and Applications, REVA University, Bengaluru, India

Related

  1. XGB-AGMoE: A Validation-Adaptive XGBoost-Anchored Granular Mixture-of-Experts Framework for Multi-Class Intrusion Detection in IoMT WiFi–MQTT Traffic
    Madallah Alruwaili, Fawaz J. Alruwaili, Mahmood Mohamed
    Sensors (Basel, Switzerland)Peer-reviewedCC BYFull textEurope PMC
  2. A temperature-adaptive logit-standardized knowledge distillation for lightweight network intrusion detection
    XiaoFang Dong, Kai Yang, JingChao Liu +1
    PLOS OnePeer-reviewedCC BYFull textNeuroscienceStatistical & nonlinear physicsPLOSEurope PMCPMC
  3. Adaptive active learning and metaheuristic-optimized transformer framework for robust intrusion detection in software-defined networks
    S. K. Khaja Shareef, Manjunath Chinthakunta, Alpha Vijayan +4
    Scientific ReportsPeer-reviewedCC BY 4.0Full textCrossref
  4. An adaptive contextual memory controller based long short-term memory (ACMC-LSTM) for intrusion detection in network traffic
    Mudatheer M. Al-Slivani, Ibrahim O. Alrubaye, Mayameen S. Kadhim +5
    Scientific ReportsPeer-reviewedCC BY 4.0Full textCrossref
  5. AFI-ID: adaptive feature intelligence for intrusion detection
    S. Antony Joseph Raj, M. Madiajagan
    Frontiers in artificial intelligencePeer-reviewedCC BYFull textEurope PMCPMCEurope PMC
BibTeX
@article{nagashree2026adaptive,
  title = {{Adaptive edge-cloud isolation forest-autoencoder pipeline in real-time with delta policy feedback for zero-day IoT smartwatch intrusion detection}},
  author = {B.A. Nagashree and M. Vinayaka Murthy},
  journal = {MethodsX},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13672837},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Adaptive edge-cloud isolation forest-autoencoder pipeline in real-time with delta policy feedback for zero-day IoT smartwatch intrusion detection
AU  - B.A. Nagashree
AU  - M. Vinayaka Murthy
PY  - 2026
DA  - 2026/10/01
JO  - MethodsX
UR  - https://europepmc.org/article/PMC/PMC13672837
SN  - 2215-0161
ER  -