Runtime Vulnerability Discovery as a Service on Industrial Internet of Things (IIoT) Systems

J. L. Flores, Imanol Mugarza
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引用次数: 4

Abstract

The IoT and IIoT paradigms are creating new business opportunities. However, high-interconnectivity among all objects introduce new security concerns and challenges. Security is not a product, but a process. Security tests and audits have to constantly be accomplished. Once a security flaw is detected, a software patch fixing the security weakness could be then produced. This continuous security evaluation, which is iterative, might be expensive. In this paper, a novel vulnerability discovery approach is presented: Hadros. The particularity of the proposed design is that security tests are distributively executed among all the deployed IoT/IIoT nodes and performed at the idle time of the system, while runtime. Hadros is suitable and advantageous for the IoT and IIoT era, due to the fact that testing coverage is broadly increased as more devices are incorporated. Meanwhile, resources employed by the security researchers are also significantly reduced.
工业物联网(IIoT)系统的运行时漏洞发现服务
物联网和工业物联网模式正在创造新的商业机会。然而,所有对象之间的高度互联性带来了新的安全问题和挑战。安全不是一个产品,而是一个过程。必须不断地完成安全性测试和审计。一旦检测到安全漏洞,就可以制作修复安全漏洞的软件补丁。这种持续的安全评估是迭代的,可能会很昂贵。本文提出了一种新的漏洞发现方法:Hadros。该设计的特殊性在于,安全测试在所有部署的IoT/IIoT节点之间分布式执行,并在系统空闲时间运行时执行。Hadros适用于物联网(IoT)和工业物联网(IIoT)时代,因为随着更多设备的加入,测试覆盖范围大大增加。同时,安全研究人员所使用的资源也大大减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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