Enabling Auditing and Intrusion Detection of Proprietary Controller Area Networks

The goal of this dissertation is to provide automated methods for security researchers to overcome ‘security through obscurity’ used by manufacturers of proprietary Industrial Control Systems (ICS). `White hat\u27 security analysts waste significant time reverse engineering these systems\u27 opaque network configurations instead of performing meaningful security auditing tasks. Automating the process of documenting proprietary protocol configurations is intended to improve independent security auditing of ICS networks. The major contributions of this dissertation are a novel approach for unsupervised lexical analysis of binary network data flows and analysis of the time series data extracted as a result. We demonstrate the utility of these methods using Controller Area Network (CAN) data sampled from passenger vehicles

Unsupervised Time Series Extraction from Controller Area Network Payloads

This paper introduces a method for unsupervised tokenization of Controller Area Network (CAN) data payloads using bit level transition analysis and a greedy grouping strategy. The primary goal of this proposal is to extract individual time series which have been concatenated together before transmission onto a vehicle's CAN bus. This process is necessary because the documentation for how to properly extract data from a network may not always be available; passenger vehicle CAN configurations are protected as trade secrets. At least one major manufacturer has also been found to deliberately misconfigure their documented extraction methods. Thus, this proposal serves as a critical enabler for robust third-party security auditing and intrusion detection systems which do not rely on manufacturers sharing confidential information.Comment: 2018 IEEE 88th Vehicular Technology Conference (VTC2018-Fall

The South Carolina Library Association: A Brief History

With images curated from the collections of the South Carolina State Library, Amanda Stone and Brent Appling provide a brief history of the South Carolina Library Association

Male-Female Differences in the Prevalence of Non-Hodgkin Lymphoma and Residential Proximity to Superfund Sites in Kentucky

Non-Hodgkin lymphoma (NHL) is a category of cancers that arise from lymphocytes. Previous work by the authors demonstrated a significant association between residential proximity to Superfund sites in Kentucky and cumulative incidence rates of NHL. In both the U.S. and Kentucky, age-adjusted NHL rates in males consistently exceed rates in females, despite NHL often arising later in the lifespan when females outnumber males. The current investigation sought to determine whether the NHL rate difference by sex is associated with proximity to environmental toxicants. Cancer data for a period of 18 years were obtained from the Kentucky Cancer Registry. Superfund geospatial coordinate data were obtained from the U.S. Environmental Protection Agency. Cumulative incidence rates per l@0,000 males and females were calculated at the 2010 U.S. Census Bureau tract level, within \u3c5 km and 5-10 km buffer zones around Superfund sites. Ordinary least squares and geographically weighted regression analyses were conducted. Significant associations existed between residential proximity to Superfund sites and cumulative NHL incidence rates in male and female populations. At all exposures levels, incidence rates were significantly higher for males than females. Possible reasons for this male-female imbalance in outcomes are presented, along with implications for public health

Incidence of Non-Hodgkin Lymphoma and Residential Proximity to Superfund Sites in Kentucky

The rates of non-Hodgkin lymphoma (NHL) in Kentucky and the U.S. began to rise in the mid-20th century. Plausible mechanistic explanations exist for linkages between the development of NHL and exposures to specific chemicals. Several of these chemicals are present in sites within the U.S. Environmental Protection Agency’s Superfund program. This study investigated a possible association between residential proximity to Superfund sites in Kentucky and incidence of NHL over a period of 18 years. Cumulative incidence rates per 100,000 persons were calculated at the census tract level, within 5 km–10 km and \u3c5 km from Superfund sites. Geographically weighted regression was necessary to create best-fitting models due to spatial autocorrelation and nonstationarity. Residential proximity to Superfund sites in Kentucky was associated with higher incidence of NHL; the average cumulative incidence of NHL per 100,000 decreased as the distance to the hazardous sites increased. This study confirmed previous research findings of an association between residential proximity to environmentally hazardous sites and the cumulative incidence rates of NHL. Future research should take into account the chemical profile of each site, to identify the most hazardous sites. Potential intervention strategies are presented based on the results of this study

On the Visual Input Driving Human Smooth-Pursuit Eye Movements

Current computational models of smooth-pursuit eye movements assume that the primary visual input is local retinal-image motion (often referred to as retinal slip). However, we show that humans can pursue object motion with considerable accuracy, even in the presence of conflicting local image motion. This finding indicates that the visual cortical area(s) controlling pursuit must be able to perform a spatio-temporal integration of local image motion into a signal related to object motion. We also provide evidence that the object-motion signal that drives pursuit is related to the signal that supports perception. We conclude that current models of pursuit should be modified to include a visual input that encodes perceived object motion and not merely retinal image motion. Finally, our findings suggest that the measurement of eye movements can be used to monitor visual perception, with particular value in applied settings as this non-intrusive approach would not require interrupting ongoing work or training

Reducing the Risk of Invasive Pathogens to Wildlife Health in the United States

Call to Action In keeping with action items 4.3.1 and 4.3.2 of the 2016–2018 National Invasive Species Council (NISC) Management Plan, the Wildlife Health Task Team of the Invasive Species Advisory Committee (ISAC) was charged with: 1) identifying the major areas of vulnerability to native wildlife from the introduction and spread of invasive pathogens, and 2) making recommendations to address these vulnerabilities, including through potential changes in statute, regulation, policy, or practice of the relevant agencies