Development of Criteria for Mobile Device Cybersecurity Threat Classification and Communication Standards (CTC&CS)

The increasing use of mobile devices and the unfettered access to cyberspace has introduced new threats to users. Mobile device users are continually being targeted for cybersecurity threats via vectors such as public information sharing on social media, user surveillance (geolocation, camera, etc.), phishing, malware, spyware, trojans, and keyloggers. Users are often uninformed about the cybersecurity threats posed by mobile devices. Users are held responsible for the security of their device that includes taking precautions against cybersecurity threats. In recent years, financial institutions are passing the costs associated with fraud to the users because of the lack of security. The purpose of this study was to design, develop, and empirically test new criteria for a Cybersecurity Threats Classification and Communication Standard (CTC&CS) for mobile devices. The conceptual foundation is based on the philosophy behind the United States Occupational Safety and Health Administration (OSHA)’s Hazard Communication Standard (HCS) of Labels and Pictograms that is mainly focused on chemical substances. This study extended the HCS framework as a model to support new criteria for cybersecurity classification and communication standards. This study involved three phases. The first phase conducted two rounds of the Delphi technique and collected quantitative data from 26 Subject Matter Experts (SMEs) in round one and 22 SMEs in round two through an anonymous online survey. Results of Phase 1 emerged with six threats categories and 62 cybersecurity threats. Phase 2 operationalized the elicited and validated criteria into pictograms, labels, and safety data sheets. Using the results of phase one as a foundation, two to three pictograms, labels, and safety data sheets (SDSs) from each of the categories identified in phase one were developed, and quantitative data were collected in two rounds of the Delphi technique from 24 and 19 SMEs respectively through an online survey and analyzed. Phase 3, the main data collection phase, empirically evaluated the developed and validated pictograms, labels, and safety data sheets for their perceived effectiveness as well as performed an analysis of covariance (ANCOVA) with 208 non-IT professional mobile device users. The results of this study showed that pictograms were highly effective; this means the participants were satisfied with the characteristics of the pictograms such as color, shapes, visual complexity, and found these characteristics valuable. On the other hand, labels and Safety Data Sheets (SDS) did not show to be effective, meaning the participants were not satisfied or lacked to identify importance with the characteristics of labels and SDS. Furthermore, the ANCOVA results showed significant differences in perceived effectiveness with SDSs with education and a marginal significance level with labels when controlled for the number of years of mobile device use. Based on the results, future research implications can observe discrepancies of pictogram effectiveness between different educational levels and reading levels. Also, research should focus on identifying the most effective designs for pictograms within the cybersecurity context. Finally, longitudinal studies should be performed to understand the aspects that affect the effectiveness of pictograms

Risk and trust management for online distributed system

This thesis investigated the problem of strategic manipulation of feedback attacks and proposed an approach that makes trust management systems sufficiently robust against feedback manipulation attacks. The new trust management system enables potential service consumers to determine the risk level of a service before committing to proceed with the transaction

Multi-core defense system (MSDS) for protecting computer infrastructure against DDoS attacks

Distributed Denial of Service attacks is one of the most challenging areas to deal with in Security. Not only do security managers have to deal with flood and vulnerability attacks. They also have to consider whether they are from legitimate or malicious attackers. In our previous work we developed a framework called bodyguard, which is to help security software developers from the current serialized paradigm, to a multi-core paradigm. In this paper, we update our research work by moving our bodyguard paradigm, into our new Ubiquitous Multi-Core Framework. From this shift, we show a marked improvement from our previous result of 20% to 110% speedup performance with an average cost of 1.5ms. We also conducted a second series of experiments, which we trained up Neural Network, and tested it against actual DDoS attack traffic. From these experiments, we were able to achieve an average of 93.36%, of this attack traffic

Multi-core defense system (MSDS) for protecting computer infrastructure against DDoS attacks

Distributed Denial of Service attacks is one of the most challenging areas to deal with in Security. Not only do security managers have to deal with flood and vulnerability attacks. They also have to consider whether they are from legitimate or malicious attackers. In our previous work we developed a framework called bodyguard, which is to help security software developers from the current serialized paradigm, to a multi-core paradigm. In this paper, we update our research work by moving our bodyguard paradigm, into our new Ubiquitous Multi-Core Framework. From this shift, we show a marked improvement from our previous result of 20% to 110% speedup performance with an average cost of 1.5ms. We also conducted a second series of experiments, which we trained up Neural Network, and tested it against actual DDoS attack traffic. From these experiments, we were able to achieve an average of 93.36%, of this attack traffic

Undergraduate and Graduate Course Descriptions, 2018 Fall

Wright State University undergraduate and graduate course descriptions from Fall 2018

Undergraduate and Graduate Course Descriptions, 2018 Fall

Wright State University undergraduate and graduate course descriptions from Fall 2018

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