• RISK ASSESSMENT IN TELEMETRY NETWORKS: ACADEMIC NETWORK ENVIRONMENT CASE STUDY

      Odejobi, Moses; Zegeye, Wondimu; King, Ronald; Moazzami, Farzad; Dean, Richard; Oladiputo, Adebisi; Morgan State University, Department of Electrical and Computer Engineering (International Foundation for Telemetering, 2018-11)
      This paper develops and utilizes a method for analyzing, modeling and simulating cyber risks in a networked environment as part of a risk management model by incorporating an approach that will be used for the development of attacks, detection, controls from real data or assumptions. The risk assessment considers Morgan State University’s network as a case study, which can be migrated to a networked telemetry system. Recent attacks on more than 300 U.S. universities targeting university professors, students, and faculty to collect credentials of the victims’ university library accounts have been identified by the PhishLabs. This research work develops a model for cyber-attack risk assessment and countermeasures for the security of distributed and decentralized Servers resource in academic and other environments.
    • A Scalable Medical Devices Localization Service Modeling

      Zegeye, Wondimu; Moazzami, Farzad; Dean, Richard; Morgan State University, Department of Electrical and Computer Engineering (International Foundation for Telemetering, 2018-11)
      Medical applications of telemetry continue to evolve with the demand for real time networked medical data, and with minimum intrusion to the mobility of the patient. This paper presents several architectures for managing a scalable hospital’s medical devices localization service and shows how these can be represented using the Unified Modeling Language (UML) model. It targets medical devices which are equipped with wireless technologies such as WiFi, Bluetooth Low Energy (BLE), etc. which can be incorporated into a networked telemetry system. The UML modeling demonstrates a scalable medical devices localization service for a hospital which can make use of client-server and cloud based architectures. The resulting model is a step towards a practical implementation of the service in tackling several problems which can arise due to the misplacement and improper sharing of medical devices in a healthcare scenario such as hospitals.