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Dr. Zeng Receives NSF Grant Award

We are happy to announce that Dr. Qiang Zeng has received a research award from the National Science Foundation for his research project "Collaborative: Enabling Precise and Automated Insecurity Analysis of Middleware on Mobile Platforms". This project aims to develop new architectural designs, algorithms, and techniques for analyzing the security of mobile platforms such as Android phones and tablets. Project abstract:
During the past decade, middleware on mobile platforms (such as the Application Framework in Android and the Core Services layer in iOS) has been flourishing, but the insecurity analysis of such middleware has been lagging behind. For example, while comprehensive studies have been conducted at the application layer of the Android system, there is very limited work analyzing the Android Application Framework (Android Framework, for short), a middleware layer in the Android system. The two billion Android mobile devices and the many Android Things devices all rely on the system services provided by Android Framework. Recently, many vulnerabilities of Android Framework are exposed, showing that Android Framework is vulnerable and exploitable. Given the critical role of Android Framework, a vulnerability in the framework can be exploited to launch large-scale cyber attacks and cause serious harms to user security and privacy. However, the insecurity analysis of Android Framework has been rather ad hoc, imprecise, and requires much manual effort, mainly because there is a severe lack of techniques and tools developed for insecurity analysis of such middleware on mobile platforms (MoMP). This research project seeks to fill the gap by developing new techniques and tools for insecurity analysis of MoMP like Android Framework and consequently lead to more secure and trustworthy computing environments for the huge number of smartphone and Internet-of-Things (IoT) device users. Educational resources developed in this project, including course modules on mobile computing security and vulnerability discovery, will be disseminated through a dedicated web site. Collaborations with the industry will be sought to transfer the technology to interested software companies and government entities that perform insecurity analysis of MoMP.
The project will develop new architectural designs, algorithms and techniques for precise and automated insecurity analysis of MoMP. To make the research concrete, demonstrations will be created for the Android Framework for mobile smartphones, tablets and IoT devices, and the first platform for precise and automated insecurity analysis of Android Framework will be built, combining current software analysis techniques, such as symbolic execution, hybrid dynamic/static analysis, and cross-process and cross-layer software analysis, to make them capable of analyzing complex and large-sized MoMP like Android Framework. The platform will be evaluated and applied to discovering various types of zero-day vulnerabilities and generating proof-of-concept exploits.

Dr. Nelakuditi named ACM Distinguished Member

We are proud to announce that Dr. Srihari Nelakuditi has been named an ACM Distinguished Member by the Association for Computing Machinery. The award recognizes ACM members who have achieved significant accomplishments or have made a significant impact on the computing field. The 2018 ACM Distinguished Members are exemplars for their peers, and represent ACM’s worldwide geographic reach, as well as the exciting range of subdisciplines that constitute today’s technology landscape.

Dr. Farkas Receives Research Award in Logistics

Dr. Farkas leads the "Unified, Cloud-Based Platform to Support South Carolina Logistics" project. Funded by the Department of Commerce of South Carolina, the project brings together experts from the University of South Carolina, Fraunhofer USA, and Datos Consulting. The project's focus is to develop innovative technologies to benefit the logistics sector of SC using state-of-the art research in data science and data security & provenance.

Dr. Luo Receives NSF Grant For Improving Mobile Security

Dr. Lannan (Lisa) Luo has received an NSF award for her project "Enabling Precise and Automated Insecurity Analysis of Middleware on Mobile Platforms" which studies ways to improve the security of mobile platforms, like Android phones. From the abstract:
This project will develop new architectural designs, algorithms and techniques for precise and automated insecurity analysis of MoMP. To make the research concrete, demonstrations will be created for the Android Framework for mobile smartphones, tablets and IoT devices, and the first platform for precise and automated insecurity analysis of Android Framework will be built, combining current software analysis techniques, such as symbolic execution, hybrid dynamic/static analysis, and cross-process and cross-layer software analysis, to make them capable of analyzing complex and large-sized MoMP like Android Framework. The platform will be evaluated and applied to discovering various types of zero-day vulnerabilities and generating proof-of-concept exploits.

New Faculty: Dr. Qiang Zeng

We are happy to welcome Dr. Qiang Zeng to the department. He received his PhD in Computer Science & Engineering from Penn State University and most recently was an Assistant Professor at Temple University. His main research interest is Software and Systems Security, with a focus on Internet of Things and Mobile Computing. He also works on the security aspect of machine learning. He is currently teaching CSCE 311 and is looking for students interested in Cybersecurity.

New Faculty: Dr. Sanjib Sur

We are are happy to welcome Dr. Sanjib Sur to the Department. Dr. Sur received his PhD in Computer Engineering from the University of Wisconsin, Madison. His research interests are in the areas of Wireless Systems and Architectures, Millimeter-wave Communications and Networks, Internet of Things Connectivity and Sensing Systems. He is currently teaching a class on Millimeter-Wave Networking and Applications and is looking for students to join his research group.

New Faculty: Dr. Pooyan Jamshidi

We are happy to welcome Dr. Pooyan Jamshidi to the Department. Dr. Jamshidi received his PhD in Computing at Dublin City University in Ireland and most recently was a Postdoctoral Associate at Carnegie Mellon University. His research goal is to advance a scientific, principled understanding of machine learning systems. He is teaching Machine Learning Systems this semester. You can visit his website to learn more about his research.

Eduardo Romero wins GEM Fellowship

We are proud to announce that Eduardo Romero has been awarded a GEM National Consortium Fellowship. The GEM program seeks to enhance the value of the nation’s human capital by increasing the participation of underrepresented groups at the master’s and doctoral levels in engineering and science. The fellowship, in conjunction with the GEM graduate institution and GEM employer, provides a stipend, full tuition and fees, and a paid summer internship. Romero graduated Summa Cum Laude this May from the South Carolina Honors College with a major in Computer Science and minor in Mathematics. A 2017 Hispanic Scholarship Fund recipient, Eduardo was also a member of Phi Beta Kappa and the National Honors Society of Collegiate Scholars. His GEM internship will be at Adobe Systems Incorporated, where he will work to use Deep Learning algorithms for image classification to provide new tools to the analysts of Adobe’s Target team. Eduardo plans to pursue a Ph.D. in Computer Science at the Ohio State University and then a career in private sector research.