Intrusion Detection System for the Internet of Things Based on Blockchain and Multi-Agent Systems
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Intrusion Detection System for the Internet of Things Based on Blockchain and Multi-Agent Systems
Authors
Keywords
-
Journal
Electronics
Volume 9, Issue 7, Pages 1120
Publisher
MDPI AG
Online
2020-07-10
DOI
10.3390/electronics9071120
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The rise of traffic classification in IoT networks: A survey
- (2020) Hamid Tahaei et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- A Formal Verification Framework for Security Issues of Blockchain Smart Contracts
- (2020) Tianyu Sun et al. Electronics
- Deep learning for computational structural optimization
- (2020) Long C. Nguyen et al. ISA TRANSACTIONS
- A Multitier Reinforcement Learning Model for a Cooperative Multiagent System
- (2020) Haobin Shi et al. IEEE Transactions on Cognitive and Developmental Systems
- Management and Monitoring of IoT Devices Using Blockchain
- (2019) Kristián Košťál et al. SENSORS
- Intrusion detection systems in the Internet of things: A comprehensive investigation
- (2019) Somayye Hajiheidari et al. Computer Networks
- Network Intrusion Detection Based on Novel Feature Selection Model and Various Recurrent Neural Networks
- (2019) Thi-Thu-Huong Le et al. Applied Sciences-Basel
- An intrusion detection framework for energy constrained IoT devices
- (2019) Junaid Arshad et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A Supervised Intrusion Detection System for Smart Home IoT Devices
- (2019) Eirini Anthi et al. IEEE Internet of Things Journal
- Agent-based Internet of Things: State-of-the-art and research challenges
- (2019) Claudio Savaglio et al. Future Generation Computer Systems-The International Journal of eScience
- End-to-End Trust and Security for Internet of Things Applications
- (2018) Sulabh Bhattarai et al. COMPUTER
- Distributed attack detection scheme using deep learning approach for Internet of Things
- (2018) Abebe Abeshu Diro et al. Future Generation Computer Systems-The International Journal of eScience
- A survey of intrusion detection in Internet of Things
- (2017) Bruno Bogaz Zarpelão et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- An Automata Based Intrusion Detection Method for Internet of Things
- (2017) Yulong Fu et al. Mobile Information Systems
- Security in Internet of Things: issues, challenges, taxonomy, and architecture
- (2017) Vipindev Adat et al. TELECOMMUNICATION SYSTEMS
- Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination
- (2016) Shiyong Wang et al. Computer Networks
- Human-level control through deep reinforcement learning
- (2015) Volodymyr Mnih et al. NATURE
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- SVELTE: Real-time intrusion detection in the Internet of Things
- (2013) Shahid Raza et al. Ad Hoc Networks
- On the features and challenges of security and privacy in distributed internet of things
- (2013) Rodrigo Roman et al. Computer Networks
- Routing Attacks and Countermeasures in the RPL-Based Internet of Things
- (2013) Linus Wallgren et al. International Journal of Distributed Sensor Networks
- James P. Anderson: An Information Security Pioneer
- (2008) Eugene Spafford IEEE SECURITY & PRIVACY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More