Game Theory in Distributed Systems Security: Foundations, Challenges, and Future Directions

Many of our critical infrastructure systems and personal computing systems have a distributed computing systems structure. The incentives to attack them have been growing rapidly as has their attack surface due to increasing levels of connectedness. Therefore, we feel it is time to bring in rigorous reasoning to secure such systems. The distributed system security and the game theory technical communities can come together to effectively address this challenge. In this article, we lay out the foundations from each that we can build upon to achieve our goals. Next, we describe a set of research challenges for the community, organized into three categories -- analytical, systems, and integration challenges, each with "short term" time horizon (2-3 years) and "long term" (5-10 years) items. This article was conceived of through a community discussion at the 2022 NSF SaTC PI meeting.Comment: 11 pages in IEEE Computer Society magazine format, including references and author bios. There is 1 figur

Behavioral Economics

Behavioral economics uses evidence from psychology and other disciplines to create models of limits on rationality, willpower and self-interest, and explore their implications in economic aggregates. This paper reviews the basic themes of behavioral economics: Sensitivity of revealed preferences to descriptions of goods and procedures; generalizations of models of choice over risk, ambiguity, and time; fairness and reciprocity; non-Bayesian judgment; and stochastic equilibrium and learning. A central issue is what happens in equilibrium when agents are imperfect but heterogeneous; sometimes firms “repair” limits through sorting, but profit-maximizing firms can also exploit limits of consumers. Frontiers of research are careful formal theorizing about psychology and studies with field data. Neuroeconomics extends the psychological data use to inform theorizing to include details of neural circuitry. It is likely to support rational choice theory in some cases, to buttress behavioral economics in some cases, and to suggest different constructs as well

Cost-Benefit Analysis and Regulatory Reform: An Assessment of the Science and Art

The continuing efforts in the 104th Congress to legislate requirements for cost-benefit analysis (CBA) and the revised Office of Management and Budget guidelines for the conduct of such assessments during a regulatory rulemaking process highlight the need for a comprehensive examination of the role that CBA can play in agency decision-making. This paper summarizes the state of knowledge regarding CBA and offers suggestions for improvement in its use, especially in the context of environmental regulations.

Does Hazardous Waste Matter? Evidence from the Housing Market and the Superfund Program

Approximately $30 billion (2000$) has been spent on Superfund clean-ups of hazardous waste sites, and remediation efforts are incomplete at roughly half of the 1,500 Superfund sites. This study estimates the effect of Superfund clean-ups on local housing price appreciation. We compare housing price growth in the areas surrounding the first 400 hazardous waste sites to be cleaned up through the Superfund program to the areas surrounding the 290 sites that narrowly missed qualifying for these clean-ups. We cannot reject that the clean-ups had no effect on local housing price growth, nearly two decades after these sites became eligible for them. This finding is robust to a series of specification checks, including the application of a quasi-experimental regression discontinuity design based on knowledge of the selection rule. Overall, the preferred estimates suggest that the benefits of Superfund clean-ups as measured through the housing market are substantially lower than the $43 million mean cost of Superfund clean-ups.Valuation of environmental goods, Hazardous waste sites, Environmental regulation, Regression discontinuity, Superfound, Externalities

Testing the Predictive Power of Equity Valuation Metrics: A Minskyian Approach

Valuation process is at the core of finance. There are several methods that can be used to value a stock. Analysts, due to constraints in time, choose between a few metrics to obtain a target price for the stock. In this paper we analyze the predictive power of different valuation metrics when used to predict the S\&P 500. We do so by first presenting theoretical discussions about the financial markets. The case that EMH is not a good model for finance and that behavioral finance, though useful, does not create a complete picture. Mainstream investment theories presented by Neoclassicals and Neo-Keynesians is argued against and Hymen Minsky\u27s alternate non-equilibrium based interpretation of John Maynard Keynes is explained. Using Minsky\u27s interpretation we explain a market where mis-pricing in stock is a normal phenomenon. The presence of mis-pricing in the market enables our reasoning for using fundamental analysis to identify the mis-pricings. Our results show that using daily data, Price to Sales ratio is the best predictor for the changes in daily returns and Price to Earnings ratio is the best predictor for changes in monthly returns for the S\& P 500