We describe the first systematic, quantitative threat evaluation in a local election jurisdiction in the U.S., Marin County, California, in the November 2010 general election. We made use of a reusable threat model that we have developed over several years. The threat model is based on attack trees with several novel enhancements to promote model reuse and flexible metrics, implemented in a software tool, AttackDog. We assess the practicality of reusable threat models for local elections offices and analyze specific vulnerabilities in Marin County, using as our metric “attack team size ” (ATS) – the number of individuals who are knowingly involved in election fraud. 1

Security remains to be a critical issue in the safe operation of Information Systems (IS). Identifying the threats to IS may lead to an effective method for measuring security as the initial stage for risk management. Despite many attempts to classify threats to IS, new threats to Health Information Systems (HIS) remains a continual concern for system de-velopers. The main aim of this paper is to present a research agenda of threats to HIS. A cohesive completeness study on the identification of possible threats on HIS was conducted. This study reveals more than 70 threats for HIS. They are classified into 30 common criteria. The abstraction was carried out using secondary data from various research da-tabases. This work-in-progress study will proceed to the next stage of ranking the security threats for assessing risk in HIS. This classification of threats may provide some insights to both researchers and professionals, who are interested in conducting research in risk management of HIS security.