What is he best known for?
The fields of study he is best known for:
- Operating system
- The Internet
- Computer security
Gail-Joon Ahn mainly investigates Computer security, Access control, Cloud computing, Internet privacy and Role-based access control.
His research integrates issues of Android and The Internet in his study of Computer security.
His studies in Access control integrate themes in fields like Scheme, Revocation and Information sharing.
His studies deal with areas such as Data access, Data integrity and Network security as well as Cloud computing.
His work deals with themes such as Identity management, Identity and Set, which intersect with Internet privacy.
His study in Role-based access control is interdisciplinary in nature, drawing from both Workflow technology, Programming language, Semantics, Formal language and Workflow management system.
His most cited work include:
- Security and Privacy Challenges in Cloud Computing Environments (1022 citations)
- Role-based authorization constraints specification (388 citations)
- Cooperative Provable Data Possession for Integrity Verification in Multicloud Storage (344 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Computer security, Access control, Role-based access control, World Wide Web and Internet privacy.
His Computer security research is multidisciplinary, incorporating elements of Cloud computing, Cloud computing security and The Internet.
His work in the fields of Access control, such as XACML, intersects with other areas such as Delegation.
His study explores the link between Role-based access control and topics such as Distributed computing that cross with problems in Service.
His work carried out in the field of Internet privacy brings together such families of science as Identity management and Identity.
Gail-Joon Ahn works mostly in the field of Security policy, limiting it down to topics relating to Computer security model and, in certain cases, Network security policy.
He most often published in these fields:
- Computer security (54.26%)
- Access control (35.65%)
- Role-based access control (17.67%)
What were the highlights of his more recent work (between 2016-2021)?
- Computer security (54.26%)
- Access control (35.65%)
- Android (4.10%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Computer security, Access control, Android, Malware and World Wide Web.
Gail-Joon Ahn has researched Computer security in several fields, including Ontology and Set.
His research in Access control intersects with topics in Firewall and Authorization.
His Android study combines topics from a wide range of disciplines, such as Data mining, Deep learning, Convolutional neural network, Artificial intelligence and Static analysis.
His Malware study incorporates themes from Artificial neural network, Java, Opcode and Honeypot.
His work carried out in the field of World Wide Web brings together such families of science as Data access and Digital forensics.
Between 2016 and 2021, his most popular works were:
- Deep Android Malware Detection (166 citations)
- Uncovering the Face of Android Ransomware: Characterization and Real-Time Detection (73 citations)
- Inside a phisher's mind: Understanding the anti-phishing ecosystem through phishing kit analysis (29 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- The Internet
- Computer network
Gail-Joon Ahn mostly deals with Computer security, Distributed computing, Software-defined networking, Phishing and Android.
His research in Computer security is mostly concerned with Evasion.
His Distributed computing study integrates concerns from other disciplines, such as Real-time computing, Virtual firewall and Network administrator.
The various areas that Gail-Joon Ahn examines in his Software-defined networking study include Forwarding plane, Firewall, Network topology, Network security and Cloud computing.
His Cloud computing study combines topics in areas such as Testbed, DMZ, Server and Security policy.
His studies in Android integrate themes in fields like User interface, Encryption, Ransomware, Risk management and Risk assessment.
This overview was generated by a machine learning system which analysed the scientist’s
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