Judicial Selection: Politics,Biases, and Constituency Demands

The determinants of recent U.S. districtcourt judges and appellate court judgesselection have been subject of much debate,but little systematic evidence has beenpresented to substantiate claims regardingdiscrimination against particular groups ofjudicial nominees, nor regarding the lengthof the appointment process. We study boththe length of the nominations process, andthe likelihood of confirmation andemphasize the role of Senatorial seniorityand agenda control in the confirmationsprocess. We find that Senators with agendacontrol have a positive effect on the speedand likelihood of confirmation and thatnominees from states with comparativelysenior Senators receive expedited treatmentrelative to other nominees. Althoughpolitics matter in the confirmationprocess, Senators are responsive to aperceived ``shortage'' of judges, since theyfill seats faster when a relatively largenumber of court seats are vacant. Nomineeswith higher personal qualifications arealso more likely to experience success inconfirmations. We found no evidence ofgender or race discrimination on the partof the Senate.     

Generating a Corpus of Mobile Forensic Images for Masquerading user Experimentation

The Periodic Mobile Forensics (PMF) system investigates user behavior on mobile devices. It applies forensic techniques to an enterprise mobile infrastructure, utilizing an on‐device agent named TractorBeam. The agent collects changed storage locations for later acquisition, reconstruction, and analysis. TractorBeam provides its data to an enterprise infrastructure that consists of a cloud‐based queuing service, relational database, and analytical framework for running forensic processes. During a 3‐month experiment with Purdue University, TractorBeam was utilized in a simulated operational setting across 34 users to evaluate techniques to identify masquerading users (i.e., users other than the intended device user). The research team surmises that all masqueraders are undesirable to an enterprise, even when a masquerader lacks malicious intent. The PMF system reconstructed 821 forensic images, extracted one million audit events, and accurately detected masqueraders. Evaluation revealed that developed methods reduced storage requirements 50‐fold. This paper describes the PMF architecture, performance of TractorBeam throughout the protocol, and results of the masquerading user analysis.