“Never Give up:” The Strengths and Strategies Used Among Undocumented College Students From Central America to Access and Persist in U.S. Higher Education

The purpose of this study was to identify the strengths and strategies that undocumented college students from Central America used to access and persist in United States higher education. A multiple-case study design was used to conduct in-depth, semi-structured interviews and document collection from ten persons residing in Illinois, Maryland, Ohio, Texas, and Washington. Yosso’s (2005, 2006) community cultural wealth conceptual framework, an analytical and methodological tool, was used to uncover assets used to navigate the higher education system. The findings revealed that participants activated all forms of capital, with cultural capital being the least activated yet necessary, to access and persist in college. Participants also activated most forms of capital together or consecutively in order to attain financial resources, information and social networks that facilitated college access. Participants successfully persisted because they continued to activate forms of capital, displayed a high sense of agency, and managed to sustain college educational goals despite challenges and other external factors. The relationships among forms of capital and federal, state, and institutional policy contexts, which positively influenced both college access and persistence were not illustrated in Yosso’s (2005, 2006) community cultural wealth framework. Therefore, this study presents a modified community cultural wealth framework, which includes these intersections and contexts. In the spirit of Latina/o critical race theory (LatCrit) and critical race theory (CRT), the participants share with other undocumented students suggestions on how to succeed in college. This study can contribute to the growing research of undocumented college students, and develop higher education policy and practice that intentionally consider undocumented college students’ strengths to successfully navigate the institution.

Active Data Collection Techniques to Understand Online Scammers and Cybercriminals

Nigerian scam, also known as advance fee fraud or 419 scam, is a prevalent form of online fraudulent activity that causes financial loss to individuals and businesses. Nigerian scam has evolved from simple non-targeted email messages to more sophisticated scams targeted at users of classifieds, dating and other websites. Even though such scams are observed and reported by users frequently, the community’s understanding of Nigerian scams is limited since the scammers operate “underground”. To better understand the underground Nigerian scam ecosystem and seek effective methods to deter Nigerian scam and cybercrime in general, we conduct a series of active and passive measurement studies. Relying upon the analysis and insight gained from the measurement studies, we make four contributions: (1) we analyze the taxonomy of Nigerian scam and derive long-term trends in scams; (2) we provide an insight on Nigerian scam and cybercrime ecosystems and their underground operation; (3) we propose a payment intervention as a potential deterrent to cybercrime operation in general and evaluate its effectiveness; and (4) we offer active and passive measurement tools and techniques that enable in-depth analysis of cybercrime ecosystems and deterrence on them. We first created and analyze a repository of more than two hundred thousand user-reported scam emails, stretching from 2006 to 2014, from four major scam reporting websites. We select ten most commonly observed scam categories and tag 2,000 scam emails randomly selected from our repository. Based upon the manually tagged dataset, we train a machine learning classifier and cluster all scam emails in the repository. From the clustering result, we find a strong and sustained upward trend for targeted scams and downward trend for non-targeted scams. We then focus on two types of targeted scams: sales scams and rental scams targeted users on Craigslist. We built an automated scam data collection system and gathered large-scale sales scam emails. Using the system we posted honeypot ads on Craigslist and conversed automatically with the scammers. Through the email conversation, the system obtained additional confirmation of likely scam activities and collected additional information such as IP addresses and shipping addresses. Our analysis revealed that around 10 groups were responsible for nearly half of the over 13,000 total scam attempts we received. These groups used IP addresses and shipping addresses in both Nigeria and the U.S. We also crawled rental ads on Craigslist, identified rental scam ads amongst the large number of benign ads and conversed with the potential scammers. Through in-depth analysis of the rental scams, we found seven major scam campaigns employing various operations and monetization methods. We also found that unlike sales scammers, most rental scammers were in the U.S. The large-scale scam data and in-depth analysis provide useful insights on how to design effective deterrence techniques against cybercrime in general. We study underground DDoS-for-hire services, also known as booters, and measure the effectiveness of undermining a payment system of DDoS Services. Our analysis shows that the payment intervention can have the desired effect of limiting cybercriminals’ ability and increasing the risk of accepting payments.