Faris Alotibi

Affiliation

Department of Informatics and Networked Systems, School of Computing and Information, University of Pittsburgh, Pittsburgh, PA, USA
School of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia

Topic

Anomaly Detection,False Alarm Rate,Acceleration Information,Autonomous Vehicles,Benign Environment,Communication Network,Cooperative Adaptive Cruise Control,Detection Accuracy,False Alarm,Impact Of Attacks,Information Exchange,Infrastructure,Lead Vehicle,Machine Learning,Onboard Sensors,Physical Laws,Potential Collision,Roadside Units,Sensor Locations,Time Step,Acceleration Values,Adaptive Cruise Control,Aggregate Data,Anomalous Behavior,Attack Detection,COVID-19 Cases,Chunk Size,Clear Increase,Constant Speed,Control Network,Control Of Autonomous Vehicles,Current Acceleration,Data Fusion,Data Fusion Techniques,Data Sources,Dedicated Short Range Communication,Deep Learning,Detection Performance,Electric Power,False Data Injection Attacks,Federal Communications Commission,Financial Losses,Global Positioning System,Google Trends Data,Hidden Markov Model,Increase In The Number,Indirect Indicator,Isolation Forest,Kinematic,Leadership Positions,

Biography

Faris Alotibi received the bachelor’s degree in information systems from Taibah University in 2011, and the master’s degree in information security from the University of Pittsburgh, in 2017, where he is currently pursuing the Ph.D. degree with the School of Computing and Information. He was a System and Application Developer with RCY from 2011 to 2012 and a Teaching Assistant with Taibah University from 2012 to 2015. He is also a Lecturer with the College of Computer Science and Engineering, Taibah University. His research interests include anomaly detection, security, blockchain, cyber-physical systems, machine learning, and insider threats.