What is he best known for?
The fields of study he is best known for:
- Cryptography
- Computer network
- Operating system
His primary areas of investigation include Computer security, Cryptography, Public-key cryptography, Computer network and Encryption.
His Computer security research incorporates themes from Signature and Internet privacy.
His Cryptography research is multidisciplinary, incorporating elements of Digital signature, Mobile agent, Reverse proxy, Construct and Key.
His Computer network study integrates concerns from other disciplines, such as Distributed computing and Botnet.
His work deals with themes such as Payload, Transmission Control Protocol, Network packet, User Datagram Protocol and Intrusion detection system, which intersect with Encryption.
His studies in ID-based cryptography integrate themes in fields like ElGamal signature scheme and Schnorr signature.
His most cited work include:
- ID-Based Blind Signature and Ring Signature from Pairings (446 citations)
- Strong Proxy Signature and its Applications (263 citations)
- Efficient ID-based blind signature and proxy signature from bilinear pairings (241 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Computer security, Computer network, Authentication, Key and Public-key cryptography.
The Computer security study combines topics in areas such as Protocol and Internet privacy.
His biological study spans a wide range of topics, including Ubiquitous computing and Access control.
His research in Key intersects with topics in Cryptosystem and Hash function.
His work in Public-key cryptography addresses subjects such as Signature, which are connected to disciplines such as Schnorr signature.
His Cryptography study which covers Digital signature that intersects with Theoretical computer science.
He most often published in these fields:
- Computer security (45.36%)
- Computer network (22.86%)
- Authentication (14.29%)
What were the highlights of his more recent work (between 2014-2020)?
- Artificial intelligence (7.50%)
- Deep learning (4.29%)
- Computer network (22.86%)
In recent papers he was focusing on the following fields of study:
Artificial intelligence, Deep learning, Computer network, Machine learning and Intrusion detection system are his primary areas of study.
His research in Artificial intelligence tackles topics such as Pattern recognition which are related to areas like Cluster analysis.
Kwangjo Kim focuses mostly in the field of Computer network, narrowing it down to topics relating to Botnet and, in certain cases, Scalability, Adversarial machine learning and Semi-supervised learning.
Kwangjo Kim has researched Protocol in several fields, including Overhead, Embedded system, Trusted computing base and Public-key cryptography.
His study on Blockchain is covered under Computer security.
Many of his research projects under Computer security are closely connected to Conditional probability with Conditional probability, tying the diverse disciplines of science together.
Between 2014 and 2020, his most popular works were:
- Deep Abstraction and Weighted Feature Selection for Wi-Fi Impersonation Detection (76 citations)
- Data Randomization and Cluster-Based Partitioning for Botnet Intrusion Detection (67 citations)
- Detecting Impersonation Attack in WiFi Networks Using Deep Learning Approach (26 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Cryptography
- Operating system
Kwangjo Kim mainly investigates Artificial intelligence, Machine learning, Deep learning, Intrusion detection system and Computer network.
His studies deal with areas such as Information retrieval and Pattern recognition as well as Artificial intelligence.
His study in Deep learning is interdisciplinary in nature, drawing from both Artificial neural network and Homomorphic encryption.
In his study, which falls under the umbrella issue of Intrusion detection system, Natural language is strongly linked to Unsupervised learning.
His study on Overhead is often connected to Trustworthiness as part of broader study in Computer network.
His Data mining research is multidisciplinary, relying on both Computer security, Adversary, Private information retrieval and Location-based service.
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