Kim-Kwang Raymond Choo
Computer Networks and Communications · 2009–2021
A researcher in the Science corpus: 23 papers; trusts 39 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 150 citations into it; #3,604 of 9,886 by trust here, #872 by citations
- Information Systems — 126 citations into it; #1,837 of 8,771 by trust here, #880 by citations
- Artificial Intelligence — 115 citations into it; #16,177 of 35,345 by trust here, #8,525 by citations
- Signal Processing — 51 citations into it; #2,288 of 7,572 by trust here, #1,202 by citations
- Computer Vision and Pattern Recognition — 33 citations into it
- Sociology and Political Science — 20 citations into it; #14,628 of 22,756 by trust here, #17,766 by citations
- Electrical and Electronic Engineering — 16 citations into it
- Privacy & Security — 10 citations into it
Whom Kim-Kwang Raymond Choo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Middleton
- I. Elliott
- Darren Quick
- Ron Kohavi
- George Forman
- Daniel Bilar
- Rebecca Mandeville-Norden
- Varun Chandola
- Yoav Freund
- Nour Moustafa
Who trusts Kim-Kwang Raymond Choo overall
- Darren Quick
- M. Stoyanova
- Eric Rutger Leukfeldt
- Nour Moustafa
- Octavio Loyola-González
- David M. Townsend
- Seyednima Khezr
- Michael C. Seto
- Ansam Khraisat
- Thanh Thi Nguyen
Papers from Kim-Kwang Raymond Choo's perspective
Ordered by how strongly the researchers Kim-Kwang Raymond Choo trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Deep Learning
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Learning representations by back-propagating errors
- ImageNet: A large-scale hierarchical image database
Their papers
- The cyber threat landscape: Challenges and future research directions (2011) — 510 citations
- A Deep Blockchain Framework-Enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks (2021) — 353 citations
- Applications of blockchain in ensuring the security and privacy of electronic health record systems: A survey (2020) — 305 citations
- A systematic literature review of blockchain cyber security (2020) — 511 citations
- Sidechain technologies in blockchain networks: An examination and state-of-the-art review (2020) — 316 citations
- An Ensemble Intrusion Detection Technique Based on Proposed Statistical Flow Features for Protecting Network Traffic of Internet of Things (2019) — 472 citations
- Blockchain based searchable encryption for electronic health record sharing (2019) — 406 citations
- Robust Malware Detection for Internet of (Battlefield) Things Devices Using Deep Eigenspace Learning (2019) — 307 citations
- A Two-Layer Dimension Reduction and Two-Tier Classification Model for Anomaly-Based Intrusion Detection in IoT Backbone Networks (2019) — 452 citations
- Blockchain in healthcare applications: Research challenges and opportunities (2019) — 690 citations
- A three-factor anonymous authentication scheme for wireless sensor networks in internet of things environments (2018) — 316 citations
- IoT Device Forensics and Data Reduction (2018) — 48 citations
- Blockchain: A Panacea for Healthcare Cloud-Based Data Security and Privacy? (2018) — 669 citations
- A deep Recurrent Neural Network based approach for Internet of Things malware threat hunting (2018) — 417 citations
- BSeIn: A blockchain-based secure mutual authentication with fine-grained access control system for industry 4.0 (2018) — 365 citations
- From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework (2017) — 299 citations
- Pervasive social networking forensics: Intelligence and evidence from mobile device extracts (2017) — 63 citations
- A blockchain future for internet of things security: a position paper (2017) — 489 citations
- Machine learning aided Android malware classification (2017) — 328 citations
- Internet of Things (IoT) (2016) — 878 citations