Last update: 05/04/2018


Associate Professor, Senior Member of IEEE/ACM
Department of Computer Science
College of Computing and Software Engineering
Kennesaw State University, Marietta Campus
1100 South Marietta Pkwy SE, Marietta, GA 30060
(Mailing Address: 680 Arnston Drive, Marietta, GA 30060, USA)

Office: Atrium Building (J) 312
Phone: (470) 578-7638
E-mail: [a-t]

Dr. Kim is an Associate Professor as of July 2018 in the Department of Computer Science, College of Computing and Software Engineering (CCSE), Kennesaw State University (KSU), Marietta, GA, USA since July 2016. Before joining KSU, Dr. Kim was an Assistant Professor (Tenured & Promoted to Associate Professor) in the Department of Mathematics and Physics at North Carolina Central University, Durham, NC, USA from August 2010 to June 2016. He received Ph.D. degree in computer science from the University of Texas at Dallas, Richardson, TX, USA in May 2010. He received M.S. degree in computer science and engineering from Hanyang University, South Korea in Feb. 2005 and B.S. degree in electronic and computer engineering from Hanyang University, Ansan, South Korea in Feb. 2003.

Dr. Kim is a Senior Member of IEEE and a Senior Member of ACM. He is also an Associate Editor of IEEE Access, COSN, DMAA, and MFC. He will serve/has served as a TPC co-Chair of COCOON 2020, SPATEN 2018, COCOA 2018, CSoNet 2017, COCOA 2015. His research interests include

  • Cyber Physical Systems (Mobile Computing, Drone Technology, Wireless Sensor Networking),
  • CyberSecurity (Applied Cryptography, Security, Privacy, Data Science based Techniques),
  • Next Generation Computing and Networking (Cloud Computing, Edge Computing, Fog Computing, Internet of Things, High Performance Computing), and
  • Algorithm Design and Analysis (Combinatorial Optimization, Approximation Algorithm).

His research activities are/were supported by US National Science Foundation (NSF), US The National Aeronautics and Space Administration (NASA), National Security Research Institute (NSR) of South Korea, Ministry of Education of South Korea, Ministry of Science, ICT and Future Planning of South Korea, and The Office of the Vice President for Research (OVPR) at Kennesaw State University (KSU). (Total external fund secured since joining KSU (July 2016): $134,926.49)

Current Research Projects

Malware Detection via Encrypted Packet Analysis
The recent security reports from highly reputable security firms such as Symantec unanimously describe the rapidly growing presence of malware seeking for a financial advantage. While many countermeasures such as firewalls and anti-malware software are developed to fight against this emerging threat, most of them put a heavy computational burden on the devices themselves, and therefore, they are not suitable for the ever-increasing number of resource-limited personal devices. The monitoring of network packets coming from / going into devices is a promising approach to address this issue. Unfortunately, this method is not highly effective for the group of malware which are exploiting message encryption to hide their presence from network monitoring systems. On the other hand, the most state-of-art approaches are not suitable for real-time monitoring of malware activities as requiring significant amount of time to determine the presence of a malware. To address this issue, this project aims to develop novel algorithms to detect the presence of malware exploiting encryption based on various techniques from both worlds, Analytical Data Science and Cryptanalysis, throughout network packet monitoring only.

Truck-Drone Tandem Delivery Route Optimization
Thanks to the recent technological advances in the field of robotics, a wide variety of robots with superior physical and computational capabilities have been introduced to the market. These newer generations of robots can deal with a wider range of applications by cooperatively executing missions, which used to be well beyond the ability of a single robot. An unmanned aerial vehicle (UAV), which is also known as a drone, is an advanced type of robot with flying capability. The initial researches on drones are mostly for non-civil applications such as military use and space exploration. Recently, this new aero-robotic technology has identified a number of civil applications. Among those, the idea of operating a group of delivery trucks loaded with launchable delivery drones is being test by delivery companies such as UPS. While the hardware to implement such system is being built and tested, it is not difficult to imagine that this new technology will be implemented and adopted by delivery companies in the near future. This project aims to investigate various scheduling and coordination issues in order to unleash the full potential of this new delivery system.

Industrial Control System (ICS) Security
Industrial Control System (ICS) an umbrella term for a group of control systems and associated instrumentation for industrial process control. A ICS can be as small as a set of mounted controllers on a device, and as large as a huge interconnected and interactive distributed control systems which have thousands of field connections. The larger systems are usually implemented by Supervisory Control and Data Acquisition (SCADA) systems, or distributed control systems (DCS), and programmable logic controllers (PLCs), though SCADA and PLC systems are scalable down to small systems with few control loops. Such systems are extensively used in industries such as chemical processing, pulp and paper manufacture, power generation, oil and gas processing and telecommunications. Due to the significance roles, ICS tends to be a target of cybercriminals as well as cyberterrorists. This project aims to study the security vulnerability of existing ICS systems and introduces security countermeasures against possible cyberattacks.

Blockchain Technologies and Their Applications
The recent years have witnessed the exploding popularity of various virtual currencies such as Bitcoin. Thanks to the popularity of the virtual currencies, Blockchain technology, which is a distributed computing technology enabling the implementation of most virtual currencies, are also attracting lots of attentions. Currently, many researchers are making serious efforts to further expand the adoption of Blockchain technology to various applications outside the realm of virtual currency. Most noticeably, IEEE has initiated IEEE Blockchain Adoption Initiative in 2017. This project aims to investigate the fundamental aspects of blockchain technologies and introduce new applications.

Security and Privacy in Networked Storages
Given the widespread desire to use Big Data and their applications over resource hungry end user Internet of Things (IoT) terminals, the significance of networks storages such as cloud storage and fog storage are rapidly growing. Due to the high financial value of the data on the networked storages, they tend to be an attractive target of cybercrimals. To address this issue, the development and adoption of well-verified defense machnism against the cyberattacks are of great importance. This project aims to investigate new emerging network storage systems, identify their weakness in terms of security and privacy, and propose technical measures for the identified issues.