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Jirong Yi – ProQuest LLC, 2021
We are currently in a century of data where massive amount of data are collected and processed every day, and machine learning plays a critical role in automatically processing the data and mining useful information from it for making decisions. Despite the wide and successful applications of machine learning in different fields, the robustness of…
Descriptors: Artificial Intelligence, Algorithms, Data, Classification
Enfinger, Kerry Wayne – ProQuest LLC, 2016
The number of malicious files present in the public domain continues to rise at a substantial rate. Current anti-malware software utilizes a signature-based method to detect the presence of malicious software. Generating these pattern signatures is time consuming due to malicious code complexity and the need for expert analysis, however, by making…
Descriptors: Artificial Intelligence, Computer Software, Identification, Computer Security
Estes, Aaron – ProQuest LLC, 2016
Email attacks comprise an overwhelming majority of the daily attacks on modern enterprise. "Phishing" is the leading attack vector for the world's most dangerous threats such as the so-called, Advanced Persistent Threat (APT), and hacktivist groups such as Anonymous and LulzSec. The leading mitigation strategy is a combination of user…
Descriptors: Risk, Electronic Mail, Computer Security, Users (Information)
Suppo, Chris A. – ProQuest LLC, 2013
The purpose of this study was to investigate digital citizenship in Pennsylvania public schools based on the responses of school leaders including superintendents, curriculum coordinators, and technology coordinators. This study examined the relationship between Pennsylvania school leader's beliefs and the implementation of digital citizenship…
Descriptors: Public Schools, Administrator Attitudes, Correlation, Educational Technology
Park, Insu – ProQuest LLC, 2010
The purpose of this study is to explore systems users' behavior on IS under the various circumstances (e.g., email usage and malware threats, online communication at the individual level, and IS usage in organizations). Specifically, the first essay develops a method for analyzing and predicting the impact category of malicious code, particularly…
Descriptors: Hospitals, Privacy, Prediction, Computer Security
Amin, Rohan Mahesh – ProQuest LLC, 2010
Targeted email attacks to enable computer network exploitation have become more prevalent, more insidious, and more widely documented in recent years. Beyond nuisance spam or phishing designed to trick users into revealing personal information, targeted malicious email (TME) facilitates computer network exploitation and the gathering of sensitive…
Descriptors: Electronic Mail, Program Effectiveness, Classification, Statistical Analysis