Informs Annual Meeting Phoenix 2018

INFORMS Phoenix – 2018

TD72

1 - JFIG Panel Discussion: A Survival Guide for Junior Faculty Canan Gunes Corlu, Boston University, 808 Commonwealth Avenue, Boston, MA, 02215, United States Panelists from both business and engineering schools will share tips about surviving the first years of your career. Panelists Shane Henderson, Cornell University, School of ORIE 230 Rhodes Hall, Cornell University, Ithaca, NY, 14853, United States George Vairaktarakis, Case Western Reserve University, Dept of OR and OM, 10900 Euclid Avenue, Cleveland, OH, 44106-7235, United States Hong Wan, Purdue University, School of IE, 315 N. Grant Street, West Lafayette, IN, 47907, United States Julie L. Swann, North Carolina State University, Atlanta, NC, 30332-0205, United States n TD74 West Bldg 212A Joint Session MCDM/Practice Curated: MCDM Methodology in Emerging Applications Sponsored: Multiple Criteria Decision Making Sponsored Session Chair: Serpil Sayin, Koc University, Istanbul, 34450, Turkey 1 - Optimal Planning of a Multimodal Mobility System with Rideshare Xi Chen, University of Michigan - Dearborn, 2290 Engineering Complex, 4901 Evergreen Rd, Dearborn, MI, 48128, United States, Armagan Bayram, Meigui Yu, Xiao Yu Public transit aims at providing affordable and energy efficient transportation service to residents on their daily commutes. However, the high setup and operating cost of public transit greatly limits its accessibility and utilization. On the other hand, rideshare services have more route flexibility but bear higher cost and energy consumption per trip served. In this paper, we investigate the value of combining these two transportation modes in satisfying customer travel demand and improving system performance. We formulate an integer program for the multimodal transportation planning problem. We also propose an efficient heuristic to solve this optimization problem. 2 - A Filtering-enabled Interactive Algorithm to Find Preferred Solutions of the Decision Maker Gulsah Karakaya, Middle East Technical University, Business Administration Dept, METU,Universiteler Mahallesi, Ankara, 06800, Turkey, Ceren Tuncer Sakar In the presence of multiple conflicting objectives, it is not straightforward to find the best solution. We develop an interactive approach to converge to preferred solutions of the decision maker. Iteratively, we present the decision maker small sets of alternatives and obtain preference information. We apply filtering to the data set to obtain more useful information. We use a weighted La distance function as the preference function. Using rankings data of Times Higher Education, we make tests with universities evaluated with five criteria and demonstrate that our method performs well. 3 - Multiple-criteria Decision Making and Smart Systems: A Literature Review Tung Cu, Bloomsburg University of Pennsylvania, 932 Country Club Dr., Bloomsburg, PA, 17815, United States Although MCDM is an old school among OR domains, new breakthrough developments in smart systems have extended research in MCDM to new areas that were not possible before. The aims of the study are twofold. This paper first conducts a rigorous review of literature in both theoretical and empirical issues that address smart systems and MCDM methods, decision support tools and platforms in different contexts such as business, healthcare, education, politics, security and privacy. It then focuses on reviewing typical characteristics of smart system users in making their decisions. Findings on behaviors of traditional and nontraditional decision makers are presented in the paper. 4 - Multi-dimensional Sensitivity Analysis in Operations Research, and its Importance for Preventive Healthcare Services M Gabriela Sava, Assistant Professor, Clemson University, College of Business, 145 Sirrine Hall, Clemson, SC, 29634, United States, Luis Vargas, Jerrold H. May We propose a method for analyzing the n-dimensional sensitivity and stability of an n-criterion AHP/ANP model, so as to more fully assess the impact of perturbations, such as those that are caused by additional information, on preferred alternatives. We illustrate our methodology by applying it to a preventative healthcare choice problem.

n TD72 West Bldg 211A Information Security Risk Managment Emerging Topic: Cyber Security Emerging Topic Session Chair: Jingguo Wang, University of Texas-Arlington, Arlington, TX, 76019, United States 1 - To Pay or Not to Pay? A Ransomware Conundrum: A Experimental Study Yan Lang, University of Texas at Arlington, 701 S. Nedderman Dr, Arlington, TX, 76019, United States, Kay-Yut Chen, Jingguo Wang Ransomware has become one of the widespread form of malware used in cyber- attacks. We develop a game theoretic treatment of a ransomware scenario with an attacker and multiple defenders. We show, by the use of human subject experiments, that whether a defender is willing to pay ransom can be affected by the ability for the defenders to coordinate, and in terms of implications of how the defender should invest in lowering the risk of an attack. 2 - Accuracy, Confidence, Calibration, and Resolution: A Comparison of Measures of Individuals’ Phishing Email Detection Ability Yuan Li, University of Illinois at Springfield, Springfield, IL, United State, Jingguo Wang, H. Raghav Rao This study compares four alternative measures of individuals’ phishing email detection ability, including accuracy, confidence, calibration, and resolution. These measures reflect different qualities of a person in detecting phishing emails. An online survey experiment was conducted to empirically test these measures and their different antecedents. The study offers new insights into a person’s phishing email detection ability. Theoretical and practical implications are discussed. 3 - Defense Strategies under Cyber-Secure Market Interactions in Power Systems Yihe Zhuo, Lawrence Snyder, Rick S. Blum, Shalinee Kishore, Parv Venkitasubramaniam We present a tri-level model for cybersecurity in a smart grid. Our model optimizes the defense strategy that an independent system operator (ISO) should take against possible cyber-attacks. An attacker best-responds to this defense strategy to disrupt the system, and then the ISO dispatches energy consumption decisions. Our tri-level model cannot be solved exactly for reasonable instances, so we propose two heuristics, one based on a greedy approach and one that uses an analogy to facility location problems. We test the approaches on benchmark IEEE instances. 4 - Closer for Connection, Closer to Risks? The Impact of Joining IXPs on Cybersecurity Threats Qiuhong Wang, Singapore Management University, Singapore, Singapore The internet exchange point (IXP) is the physical infrastructure through which Internet service providers (ISPs) and content delivery networks (CDNs) exchange Internet traffic between their networks (autonomous systems). According to the latest data published by Packet Clearing House, as of May 2018, 410 IXPs are running across 224 cities in 106 countries with ISPs and CDNs from 9077 autonomous systems. The emergence of IXPs, motivated for faster and cheaper internet peering, has created new challenge and opportunity to secure the internet infrastructure. In particular, for ISPs and CDNs originated from countries with heterogeneity in cybersecurity commitment, would linking to the same IXP increase each member’s cybersecurity risk due to free rider and weakest link? Alternatively, would joining IXP reduce each member’s cybersecurity risk as a result of the intensified competition for internet peering? This study investigates this issue using a panel data integrating the internet infrastructure migration and malicious internet traffic at autonomous system level. Given the flattening internet infrastructure contributed by the distribution of hundreds of IXPs all over the world, its business and policy implications on cybersecurity are discussed. n TD73 West Bldg 211B JFIG Panel Discussion: A Survival Guide for Junior Faculty Sponsored: Junior Faculty JFIG Sponsored Session Chair: Chrysafis Vogiatzis, North Carolina A&T State University, Greensboro, NC, 27411, United States Co-Chair: Canan Gunes Corlu, Boston University, Boston, MA, 02215, United States

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