Cyber Security/Computer Forensics Project

该项目培训网络安全、计算机取证和数据恢复领域的高级技术人员，并创建课程模块，分发给社区学院。德克萨斯州科珀斯克里斯蒂的德尔马尔学院是美国第12大西班牙裔社区学院，招收了25，000多名学生，其中57%是西班牙裔，60%是女性，主要是第一代大学生。在过去十年中，计算机系统和分布式网络上的高度敏感数据大量增加，这些数据容易受到未经授权的访问。破坏系统安全的企图的复杂性和数量也相应增加。目前，需要技术人员培训，以确保紧急服务和政府运作以及公共和私人基础设施的网络安全，例如，交通、电信和能源。在副学士学位一级的网络安全/计算机取证技术人员培训方面没有充分增加，也没有传播培训单元，以供社区学院课程采用。两者都需要培养能够胜任网络安全，计算机取证，证据收集和数据恢复的技术人员，这对于满足行业劳动力需求至关重要。该举措制定并传播了一个全面的新课程框架和模块，以培训计算机安全技术人员获得网络安全方面的副学士学位和相应的计算机安全认证，包括网络安全、计算机取证、数据恢复和网络犯罪的相关领域、证据收集以及技术和法律的调查协议。

This project trains advanced technicians in the areas of cyber security, computer forensics, and data recovery and create curricula modules for dissemination to community colleges. Del Mar College, Corpus Christi, Texas is the 12th largest Hispanic serving community college in the nation, enrolling over 25,000 students, 57% Hispanic, 60% female, and predominately first generation in college. The past decade has seen an enormous increase in highly sensitive data on computer systems and distributed networks that are vulnerable to unauthorized access. There has been a corresponding rise in the sophistication and number of attempts to breach system security. Currently, there is a demand for technician training to ensure the cyber security of emergency services and government operations and public and private infrastructures, e.g., transportation, telecommunications, and energy. There has not been a sufficient increase in cyber security/computer forensics technician training at the associate degree level nor the dissemination of training modules for adaptation into community college curriculums. Both are needed to produce technicians competent in cyber security, computer forensics, evidence collection, and data recovery, which are essential to meet industry workforce needs. This initiative develops and disseminates a comprehensive new curriculum framework and modules to train computer security technicians for an associate degree and corresponding computer security certifications in cyber security, including network security, computer forensics, data recovery, and related areas of cyber crime, evidence collection, and technical and legal investigative protocols.