Master of Science in Engineering, Youngstown State University, 2015, Department of Mechanical, Industrial and Manufacturing Engineering

The aim of this research was to establish a framework for the development and design of a remote and safe monitoring system (telehealth system) for chronically diseased patients by using available wearable wireless sensors that are woven or knitted in smart textiles. When these sensors collect patient data, whether from a chronic diabetic or a chronic cardiac patient, it is sent via smart phones to the medical care system. This work benefits from the new applications available in smart phones by saving data and sending it to nearby caregiver centers, emergency centers, or any family member if the case is urgent. This system consists of a safety monitoring system which involves detecting falls and sending alarm messages to a medical provider or an emergency response team by using an open source smart phone application. The resulting signal is then relayed to the hospital or clinic server. In addition, the use of “air bag” technology protects patients if they fall. Since the number of chronic patients is increasing, the goal of this system is to optimize the role of the doctor in following patients remotely without any need for appointments and long waits, thus improving the patient experience and leading to a decrease in mortality cases among chronic patients. The development of a framework for synthesis and implementation of a long-term, safe and remote monitoring system is offered in this research as a conceptualization strategy for designers. The framework is illuminated via a prototype e-system for demonstration of design, fabrication, and use.

Committee: Martin Cala Ph.D. (Advisor); Hojat Mehri Ph.D. (Committee Member); Brett Conner Ph.D. (Committee Member) Subjects: Industrial Engineering

Master of Science in Electrical Engineering, Cleveland State University, 2021, Washkewicz College of Engineering

In this thesis, we draw attention to the problem of cross-service attacks, that is, attacks that exploit information collected about users from one service to launch an attack on the same users on another service. With the increased deployment and use of what fundamentally are integrated-services networks, such as 4G/LTE networks and now 5G, we expect that cross-service attacks will become easier to stage and therefore more prevalent. As running example to illustrate the effectiveness and the potential impact of cross-service attacks we will use the problem of account association in 4G/LTE networks. Account association attacks aim at determining whether a target mobile phone number is associated with a particular online account. In the case of 4G/LTE, the adversary launches the account association attacks by sending SMS messages to the target phone number and analyzing patterns in traffic related to the online account. We evaluate the proposed attacks in both a local 4G/LTE testbed and a major commercial 4G/LTE network. Our extensive experiments show that the proposed attacks can successfully identify account association with close-to-zero false negative and false positive rates. Our experiments also illustrate that the proposed attacks can be launched in a way that the victim receives no indication of being under attack.

Committee: Ye Zhu (Committee Chair); Yongjain Fu (Committee Member); Sui-Tung Yau (Committee Member) Subjects: Computer Engineering; Computer Science; Electrical Engineering; Information Technology; Technology

Master of Science, University of Toledo, 2014, Engineering (Computer Science)

The security of Android Debug Bridge (ADB) has attracted much attention from researchers, because it has a high privilege level and a low level of protection. Many attacks on Android systems have taken advantage of the security holes of ADB. Thus, in the updating patch of Android 4.2.2, a new security feature secure USB debugging was implemented so that only trusted hosts can use ADB. This research studies the features of internal communications of ADB. Then it analyzes its protection effects on ADB based attacks and found that the new feature cannot provide sufficient protection when the host used to connect with Android devices has been compromised. A demonstration attack following this method is given along with an improvement design of the security mechanism of USB Debugging Mode. The implementation of this design and its evaluation are also provided to demonstrate its effectiveness.

Committee: Weiqing Sun Dr. (Committee Chair); Mansoor Alam Dr. (Committee Co-Chair); Henry Ledgard Dr. (Committee Member) Subjects: Computer Science

Doctor of Philosophy (PhD), Wright State University, 2010, Computer Science and Engineering PhD

Wearable Health Monitoring Systems (WHMS) have drawn a lot of attention from the research community and the industry during the last decade. The development of such systems has been motivated mainly by increasing healthcare costs and by the fact that the world population is ageing. In addition to that, RandD in WHMS has been propelled by recent technological advances in miniature bio-sensing devices, smart textiles, microelectronics and wireless communications techniques. These portable health systems can comprise various types of small physiological sensors, which enable continuous monitoring of a variety of human vital signs and other physiological parameters such as heart rate, respiration rate, body temperature, blood pressure, perspiration, oxygen saturation, electrocardiogram (ECG), body posture and activity etc. As a result, and also due to their embedded transmission modules and processing capabilities, wearable health monitoring systems can constitute low-cost and unobtrusive solutions for ubiquitous health, mental and activity status monitoring. The majority of the currently developed WHMS research prototypes and products provide the basic functionality of continuously logging and transmitting physiological data. However, WHMS have the potential of achieving early detection and diagnosis of critical health changes that could enable prevention of health hazardous episodes. To do that, they should be able to learn individual user baselines and also employ advanced information processing algorithms and diagnostics in order to discover problems autonomously and detect alarming health trends, and consequently, inform medical professionals for further assistance. In an effort to advance the capabilities of a wearable system towards these goals, we focus in this dissertation on the development of a novel WHMS, called Prognosis. The developed prototype platform includes the following innovative features, which constitute the main research contributions of this wor (open full item for complete abstract)

Committee: Nikolaos Bourbakis PhD (Advisor); Soon Chung PhD (Committee Member); Yong Pei PhD (Committee Member); Arnab Shaw PhD (Committee Member); Larry Lawhorne PhD (Committee Member) Subjects: Computer Science; Engineering; Health Care; Information Systems