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Understanding the Relationship between Human Behavior and Susceptibility to Cyber Attacks: A Data-Driven Approach
Michael Ovelgönne, Tudor Dumitras, B. Aditya Prakash, V. S. Subrahmanian, Benjamin Wang
Article No.: 51
Despite growing speculation about the role of human behavior in cyber-security of machines, concrete data-driven analysis and evidence have been lacking. Using Symantec’s WINE platform, we conduct a detailed study of 1.6 million machines...
Optimal Scheduling of Cybersecurity Analysts for Minimizing Risk
Rajesh Ganesan, Sushil Jajodia, Hasan Cam
Article No.: 52
Cybersecurity threats are on the rise with evermore digitization of the information that many day-to-day systems depend upon. The demand for cybersecurity analysts outpaces supply, which calls for optimal management of the analyst resource....
Automatic Construction of Statechart-Based Anomaly Detection Models for Multi-Threaded Industrial Control Systems
Amit Kleinmann, Avishai Wool
Article No.: 55
Traffic of Industrial Control System (ICS) between the Human Machine Interface (HMI) and the Programmable Logic Controller (PLC) is known to be highly periodic. However, it is sometimes multiplexed, due to asynchronous scheduling. Modeling the...
Section: Special Issue: Cyber Security
Tracking Illicit Drug Dealing and Abuse on Instagram Using Multimodal Analysis
Xitong Yang, Jiebo Luo
Article No.: 58
Illicit drug trade via social media sites, especially photo-oriented Instagram, has become a severe problem in recent years. As a result, tracking drug dealing and abuse on Instagram is of interest to law enforcement agencies and public health...
Algorithms for Graph-Constrained Coalition Formation in the Real World
Filippo Bistaffa, Alessandro Farinelli, Jesús Cerquides, Juan Rodríguez-Aguilar, Sarvapali D. Ramchurn
Article No.: 60
Coalition formation typically involves the coming together of multiple, heterogeneous, agents to achieve both their individual and collective goals. In this article, we focus on a special case of coalition formation known as Graph-Constrained...
Data-Driven Frequency-Based Airline Profit Maximization
Bo An, Haipeng Chen, Noseong Park, V. S. Subrahmanian
Article No.: 61
Although numerous traditional models predict market share and demand along airline routes, the prediction of existing models is not precise enough, and to the best of our knowledge, there is no use of data mining--based forecasting techniques for...