Jigang Liu

Metropolitan State University

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Co-Authors

David Biros

Oklahoma State University

Gary C. Kessler

Kessler Institute for Rehabilitation

Glenn Dardick

Edith Cowan University

Craig Valli

Edith Cowan University

Marcus Rogers

Purdue University West Lafayette

Kai Qian

First Affiliated Hospital of GuangXi Medical University

Nick V. Flor

University of New Mexico

Pedro Luís

Purdue University West Lafayette

Próspero Sanchez

Universidade de São Paulo

Linda Lau

Longwood University

Cooperative Institutions

Metropolitan State University

Chinese Academy of Agricultural Sciences

Lanzhou Institute of Husbandry and Pharmaceutical Sciences

Ministry of Agriculture and Rural Affairs

Purdue University West Lafayette

Lanzhou University

Chinese Academy of Sciences

Shandong University of Science and Technology

Edith Cowan University

University of California, San Diego

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METHOD FOR ISOLATING THE PATIENT AND IoT ABNORMALITY USING A BAYESIAN NETWORK

Ryôichi Sasaki Akinori Ueno Jigang Liu

In recent years, Internet of Things (IoT) systems have become widespread. In the medical and health fields, the numberof systems that use IoT to detect and diagnose patient abnormalities is increasing. Even if an abnormality in a patient

Abnormality

10.33965/es_ml2022_202202l007

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Towards a Holistic Approach to Medical IoT Forensics

Jigang Liu Ryôichi Sasaki Tetsutaro Uehara

Since Computer Forensics emerged at the beginning of the century, this new discipline has grown overwhelmingly due to rapid advancement in technology and enormous changes in society. From Computer Forensics to Digital Forensics and then to Internet of Things (IoT) Forensics, the study domain of the discipline has been expanded considerably. As Medical IoT (MIoT) technology is moving to the center stage of the current development, the need for exploring MIoT Forensics is obvious. To deal with new issues and challenges, a holistic approach to MIoT Forensics is proposed in this paper. Through the analysis on the difference between MIoT Forensics and others, the new approach presents what should be studied and developed in MIoT Forensics according to the reality we are facing. It is believed that the new approach will have a promising impact on the research and development in MIoT Forensics.

Computer forensics

Network forensics

10.1109/qrs-c51114.2020.00121

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Analyzing the Vulnerabilities in GWT Code and Applications

Dave Larson Jigang Liu Yanjun Zuo

The Google Web Toolkit (GWT) is a Java based toolkit for creating client-side Web applications by compiling Java code into Java Script. It also provides a mechanism for asynchronous calls to a Web server. This paper will examine GWT to discover APIs in GWT that may be vulnerable to Web application attacks, such as XSS and XSRF, and then analyze the vulnerabilities based on the cases provided in open source GWT code and applications. The data collected from the source code analysis will provide an indication of the extent of vulnerabilities in GWT and difficulties in securing GWT applications.

Cross-Site Scripting

Code (set theory)

Secure coding

10.1109/candar.2014.115

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Masthead

The journal of digital forensics, security and law (2017)

Glenn Dardick Diane M. Barrett Gary C. Kessler Mark Scanlon Frank Adelstein

10.58940/1558-7223.1468

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Measurement of Long-Pulse Fine Structure by Time-Spectrum Coding

Chinese Physics Letters (2013)

Jigang Liu Guoqiang Xie Liejia Qian Peng Yuan

We propose and numerically simulate a time-spectrum coding method to measure the fine structure of long pulses. By a difference-frequency (DF) interaction between the pending-measured long pulse and a linearly chirped pulse, the spectrum of the generated DF pulse contains the intensity information of the pending-measured pulse and the frequency information of the linearly chirped pulse. The numerical simulation results show that the fine structure of the pending-measured pulse can be derived from the spectra of the DF pulse and the linearly chirped pulse.

10.1088/0256-307x/30/5/054204

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A Comparative Study of the Academic Programs between Informatics/BioInformatics and Data Science in the U.S.

2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2020)

Ismail Bile Hassan Jigang Liu

As Data Science has recently become a trend of the innovation of building new academic programs in the U.S. higher education, a holistic review and analysis of the curriculum development in a close field called Informatics or Bioinformatics, occurred more than a decade ago, seems to be beneficial and necessary in helping and supporting the healthy growth of Data Science programs. In this paper, a thorough comparative study between Informatics and Data Science was presented through comparing and investigating the similarities and differences of their curriculum structures, bodies of domain knowledge, technical skill sets, research areas, faculty preparation, student background, as well as the lessons learnt from the development of Informatics programs and challenges in developing Data Science programs. It is believed that the recommendations drawn from this study will assist educators to build their Data Science programs with the confidence and determination but without hesitation and fear of misstepping along the way in promoting and building their new programs.

Translational research informatics

10.1109/compsac48688.2020.00030

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Malware Behavior Ontology for Digital Evidence

Jigang Liu Rashmi Kammar Ryôichi Sasaki Tetsutaro Uehara

Not only in computer security, dealing with malware also presents one of vital challenges in computer forensics. Attempting to get away from their criminal activities, a suspect usually uses malware defense where they can claim that they did nothing wrong but malware did. Therefore, the burden of proof for the prosecution in pinning down the criminals is often extremely heavy due to the complex behavior demonstrated by malware. The goal of this project is to apply the theory and technique of ontology in analyzing the malware behavior and then to use the result of this study in classifying malware into the forensic-aware categories. Assisted by these proposed categories, prosecutors will have the upper hand to defeat suspect's alibi in a more efficient way. Moreover, the result of this project will help computer forensics professionals to present their expert opinions against malware defense in court with the uniformity and clarity.

Digital evidence

Suspect

Cryptovirology

Computer forensics

CLARITY

Cybercrime

Hacker

Malware analysis

10.1109/qrs-c.2017.105

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Citations (5)

Message from the CFSE 2018 Workshop Organizers

Ryôichi Sasaki Tetsutaro Uehara Jigang Liu

Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.

10.1109/compsac.2018.10256

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Designing an Undergraduate Minor Program in E-Discovery

Milton Luoma Jigang Liu Kai Qian

While the market for the E-Discovery (Electronic Discovery) is predicted to grow rapidly in coming years, the anticipated shortage of electronic discovery professionals is a result of the lack of education programs in this emerging field. In this paper, an undergraduate minor program in electronic discovery is proposed based on the experience and accomplishment of an established computer forensics program at a public university. Not only will the new program meet the demand of a booming job market, it is also an inspiring practice in expanding computer science education to a non-programming-centric field.

Minor (academic)

Economic shortage

Computer forensics

10.1145/3059009.3072996

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Masthead

The journal of digital forensics, security and law (2006)

Glenn Dardick David Biros Michael S. Gendron Gary C. Kessler Linda Lau

10.58940/1558-7223.1230

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