Internet of Things: A Survey on Distributed Attack Detection Using Deep Learning Approach

No abstract is available for this paper.

• Publication year

  2020

• Venue

  Unknown venue

• Publication date

  Unknown publication date

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1007/978-981-15-0790-8_17
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Designing collaborative blockchained signature-based intrusion detection in IoT environments

  2019cited by this paper
• Internet of Things: A survey on machine learning-based intrusion detection approaches

  2019cited by this paper
• Modeling and clustering attacker activities in IoT through machine learning techniques

  2019cited by this paper
• A scalable distributed machine learning approach for attack detection in edge computing environments

  2018cited by this paper
• Deep Learning: The Frontier for Distributed Attack Detection in Fog-to-Things Computing

  2018cited by this paper
• Identifying cyber threats to mobile-IoT applications in edge computing paradigm

  2018cited by this paper
• Semi-supervised learning based distributed attack detection framework for IoT

  2018cited by this paper
• Self-Healing Framework for Next-Generation Networks through Dimensionality Reduction

  2018cited by this paper
• Ensemble based spam detection in social IoT using probabilistic data structures

  2018cited by this paper
• A DDoS Attack Detection and Mitigation With Software-Defined Internet of Things Framework

  2018cited by this paper
• Non-parametric sequence-based learning approach for outlier detection in IoT

  2017cited by this paper
• Distributed attack detection scheme using deep learning approach for Internet of Things

  2017cited by this paper
• Analysis of KDD Dataset Attributes - Class wise for Intrusion Detection

  2015cited by this paper

• Towards a machine learning-based framework for DDOS attack detection in software-defined IoT (SD-IoT) networks

  2023cites this paper
• Hardening of the Internet of Things by using an intrusion detection system based on deep learning

  2023cites this paper