T. Gasiba, Iosif Andrei-Cristian, U. Lechner, M. Pinto-Albuquerque
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This paper proposes an evaluation pipeline behind the challenges, and provides details of the vulnerability detection and feedback mechanisms, as well as a novel technique for detecting undesired differences between a given architecture and a target result. Furthermore, this paper quantifies the challenges’ perceived usefulness and impact, by evaluating the challenges among a total of twelve participants. Our preliminary results show that the challenges are suitable for education and the industry, with potential usage in internal training. A key finding is that, although the participants understand the importance of secure coding, their answers indicate that universities leave them unprepared in this area. 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引用次数: 2
摘要
不当的软件部署可能会产生严重的后果,从简单的停机到永久的数据丢失和数据泄露。基础设施即代码工具通过承诺一致性和速度,以及从底层操作中抽象出来,来简化交付。然而,这种简单性可能会分散对体系结构或配置错误的关注,从而潜在地危及安全的开发生命周期。解决这个问题的一个方法是意识训练。Sifu是一个通过严肃游戏提供安全教育的平台,在行业内开发,为行业服务。提出的工作扩展了Sifu平台,解决了Amazon Web Services上terraform辅助云部署的挑战。本文提出了挑战背后的评估管道,并提供了漏洞检测和反馈机制的细节,以及一种用于检测给定体系结构与目标结果之间不期望的差异的新技术。此外,本文量化挑战的感知有用性和影响,通过评估挑战在总共12个参与者。我们的初步结果表明,这些挑战适用于教育和行业,在内部培训中具有潜在的用途。一个重要的发现是,尽管参与者理解安全编码的重要性,但他们的回答表明,大学让他们在这方面措手不及。最后,将我们的研究结果与相关行业的研究成果进行比较,从中提炼出一些好的做法,为从业者提供建议。
Raising Security Awareness of Cloud Deployments using Infrastructure as Code through CyberSecurity Challenges
Improper deployment of software can have serious consequences, ranging from simple downtime to permanent data loss and data breaches. Infrastructure as Code tools serve to streamline delivery by promising consistency and speed, by abstracting away from the underlying actions. However, this simplicity may distract from architectural or configuration faults, potentially compromising the secure development lifecycle. One way to address this issue involves awareness training. Sifu is a platform that provides education on security through serious games, developed in the industry, for the industry. The presented work extends the Sifu platform with challenges addressing Terraform-aided cloud deployment on Amazon Web Services. This paper proposes an evaluation pipeline behind the challenges, and provides details of the vulnerability detection and feedback mechanisms, as well as a novel technique for detecting undesired differences between a given architecture and a target result. Furthermore, this paper quantifies the challenges’ perceived usefulness and impact, by evaluating the challenges among a total of twelve participants. Our preliminary results show that the challenges are suitable for education and the industry, with potential usage in internal training. A key finding is that, although the participants understand the importance of secure coding, their answers indicate that universities leave them unprepared in this area. Finally, our results are compared with related industry works, to extract and provide good practices and advice for practitioners.