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Godfrey F. Mendes – ProQuest LLC, 2024
This Praxis develops a machine learning (ML) model to address ransomware threats in higher education institutions (HEIs). HEIs are vulnerable to cyberattacks due to their open-access environments, diverse user bases, and decentralized IT systems. These vulnerabilities are compounded by limited budgets, heightened risks from increased digital…
Descriptors: Colleges, Artificial Intelligence, Users (Information), Risk Assessment
Rogers, Gary; Ashford, Tina – Association Supporting Computer Users in Education, 2015
In this presentation we will discuss the many and varied cyber attacks that have recently occurred in the higher ed community. We will discuss the perpetrators, the victims, the impact and how these institutions have evolved to meet this threat. Mitigation techniques and defense strategies will be covered as will a discussion of effective security…
Descriptors: Computer Security, Crime, Victims, Higher Education
Olsen, Florence – Chronicle of Higher Education, 2000
A new study identifies and ranks the 10 security gaps responsible for most outsider attacks on college computer networks. The list is intended to help campus system administrators establish priorities as they work to increase security. One network security expert urges that institutions utilize multiple security layers. (DB)
Descriptors: Colleges, Computer Networks, Computer Security, Crime Prevention
Rothschild, Daniel; Rezmierski, Virginia – EDUCAUSE Quarterly, 2004
The Computer Incident Factor Analysis and Categorization (CIFAC) Project at the University of Michigan began in September 2003 with grants from EDUCAUSE and the National Science Foundation (NSF). The project's primary goal is to create a best-practices security framework for colleges and universities based on rigorous quantitative analysis of…
Descriptors: Computer Security, Colleges, Statistical Analysis, Literature Reviews