Register now for this small hands-on workshop for students.

Learn the necessary steps to conduct your own undergraduate research 
on-campus or as part of an Research Experience for Undergraduates (REU).
Talk with students at the Summer Undergraduate Research Fest to find out about the types of research projects you can conduct. Prepare for your next steps before the fall semester begins.

University Center 312

Registration is free. Space is limited, RSVP required.

RSVP: http://umbc.edu/SummerSTEM/wksp-research

Rebuilding Manhood Applications are now available! 

What do you enjoy about being a man? What do you wish was different?
What does it mean to be a man? When and how did you learn to become a man? 

All undergraduate students who identify as men are encouraged to apply. 

Apply online at: http://womenscenter.umbc.edu/rebuilding-manhood/

The UMBC Graduate Cybersecurity Program is pleased to announce that it will incorporate the CyberNEXS virtual training environment within its courses and activities during AY14-15. Assistant CYBR GPD Ben Shariati was instrumental in bringing this technical capability to the CYBR program, beginning with CYBER 620 at Shady Grove this fall.

Through CyberNEXS, students are able to connect into its cloud-based “cyber range” to conduct hands-on system administration, security, research, and systems analysis activities in a sandboxed private environment capable of presenting multiple server, desktop, and other devices in a variety of networked configurations. Student activities can be scored and/or monitored for overall success and effectiveness over time.

Since 2011, CyberNEXS has served as the competitive environment for the Maryland Cyber Challenge.

CyberNEXS is provided to UMBC by Leidos, a leading cybersecurity firm supporting US government activities.

MS Thesis Defense

Remedy: A Semantic and Collaborative
Approach to Community Health-Care

Primal Pappachan

10:00am Thursday, 31 July 2014, ITE 325b

Community Health Workers (CHWs) act as liaisons between health-care providers and patients in underserved or un-served areas. However, the lack of information sharing and training support impedes the effectiveness of CHWs and their ability to correctly diagnose patients. In this thesis, we propose and describe a system for mobile and wearable computing devices called Remedy which assists CHWs in decision making and facilitates collaboration among them. Remedy can infer possible diseases and treatments by representing the diseases, their symptoms, and patient context in OWL ontologies and by reasoning over this model. The use of semantic representation of data makes it easier to share knowledge such as disease, symptom, diagnosis guidelines, and demography related information, between various personnel involved in health-care (e.g., CHWs, patients, health-care providers). We describe the Remedy system with the help of a motivating community health-care scenario and present an Android prototype for smart phones and Google Glass.

Committee: Drs. Anupam Joshi (chair), Tim Finin, Michael Grasso, Aryya Gangopadhyay

MS Thesis Defense

Analyzing Opinions in the Mom Community on Youtube

Morgan Madeira

2:00pm Wednesday, 30 June 2014, ITE 325b

The “Mom Community” on YouTube consists of a large group of parents that share their parenting beliefs and experiences to connect and share information with others. Although there is a lot of positive support in this community, it is often a hotspot for debate of controversial parenting topics. Many of these topics have one side that represents the belief of “crunchy” moms. Crunchy is a term used to describe parents that intentionally choose natural parenting methods and eco-friendly products to raise their children. Debate over these practices has led to “mompetition” and the idea that there is a right way to parent. This research investigates these claims such as how different crunchy topics are discussed and how the community has changed over time. Video comments and user data are collected from YouTube and used to understand parenting practices and opinions in the mom community.

Committee: Drs. Anupam Joshi (chair), Tim Finin, Karuna Joshi

MS Thesis Defense

Comparison of Cloud Security Standards and a
Cloud Security Control Recommendation System

Amit S. Hendre

8:30am Thursday, 31 July 2014, ITE346

Cloud services are becoming an essential part of many organizations. Cloud providers have to adhere to security and privacy policies to ensure their users’ data remains confidential and secure. On one hand, cloud providers are implementing their own security and privacy controls. On the other hand, standards bodies like Cloud Security Alliance (CSA), International Organization for Standards (ISO), National Institute for Standards and Technology (NIST), etc. are developing broad standards for cloud security. In this thesis we provide a comprehensive analysis of the cloud security standards that are being developed and how they compare with the security controls of cloud providers. Our study is mainly focused on policies about mobility of resources, identity and access management, data protection, incident response and audit and assessment. This thesis will help consumer organizations with their compliance needs by evaluating the security controls and policies of cloud providers and assisting them in identifying their enterprise cloud security policies.

Committee: Drs. Karuna Joshi, Tim Finin and Yelena Yesha

MS Thesis Defense

Android Malware Detection and Classification
using Machine Learning Techniques

Satyajit Padalkar

10:30am Wednesday, 30 July 2014, ITE 325b

Android is popular mobile operating system and there exists multiple marketplaces for Android applications. Most of these market places allow applications to be signed using self-signed certificates. Due to this practice there exists little or very limited control over the kind of applications that are being distributed. Also advancement of Android root kits are increasingly making it easier to repackage existing Android application with malicious code. Conventional signature based techniques fail to detect such malware. So detection and classification of Android malware is a very difficult problem. We present a method to classify and detect such malware by performing a dynamic analysis of the system call sequences. Here we make use of machine learning techniques to build multiple models using distributions of syscalls as features. Using these models we predict whether given application is malicious or benign. Also we try to classify given application to specific known malware family. We also explore deep learning methods such as stacked denoising autoencoder algorithms (SdA) and its effectiveness. We experimentally evaluate our methods using a real dataset of 600 applications from 38 malware families and 25 popular benign applications from various areas. We find that a deep learning algorithm (SdA) is most accurate in detecting a malware with lowest false positives while AdaBoost performs better in classifying a malware family.

Committee: Drs. Anupam Joshi (chair), Tim Finin and Charles Nicholas

Earlier this year HP and the Scholarship for Women Studying Information Security (SWSIS) selected UMBC undergraduate Victoria Lentz (Computer Science, 2015) and ten other female cybersecurity students from across the U.S. to receive scholarships.

Lentz was in the first cohort of students to be accepted into the UMBC Cyber Scholars Program, which began in Fall 2013. The program prides itself on influencing minorities and women to become involved in the cyber security and computing industries.

With particular interests in malware and digital forensics, Lentz plans to work in the cybersecurity industry after finishing her undergraduate education to gain experience before returning to school for a Master’s degree.

More from Lentz appears in Technically Baltimore.

from a post by Achsah Joseph on UMBC Insights