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首页> 外文会议>Services conference federation;International conference on edge computing >Intrusion Detection at the Network Edge: Solutions, Limitations, and Future Directions
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Intrusion Detection at the Network Edge: Solutions, Limitations, and Future Directions

机译：网络边缘的入侵检测：解决方案，局限性和未来发展方向

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The low-latency, high bandwidth capabilities promised by 5G, together with the diffusion of applications that require high computing power and, again, low latency (such as videogames), are probably the main reasons—though not the only one—that have led to the introduction of a new network architecture: Fog Computing, that consists in moving the computation services geographically close to where computing is needed. This architectural shift moves security and privacy issues from the Cloud to the different layers of the Fog architecture. In this scenario, IDSs are still necessary, but they need to be contextualized in the new architecture. Indeed, while on the one hand Fog computing provides intrinsic benefits (e.g., low latency), on the other hand, it introduces new design challenges. In this paper, we provide the following contributions: we analyze the possible IDS solutions that can be adopted within the different Fog computing tiers, together with their related deployment and design challenges; and, we propose some promising future directions, by taking into account the challenges left uncovered by the considered solutions.
机译：5G承诺的低延迟，高带宽功能以及要求高计算能力以及低延迟（例如视频游戏）的应用程序的普及，可能是导致这种情况的主要原因（尽管不是唯一的原因）引入一种新的网络体系结构：雾计算，即将计算服务在地理位置上移动到需要计算的地方。这种架构上的转变将安全性和隐私问题从云转移到了雾架构的不同层。在这种情况下，IDS仍然是必需的，但是它们需要在新架构中进行上下文化。的确，一方面，雾计算提供了内在的好处（例如，低等待时间），另一方面，它带来了新的设计挑战。在本文中，我们提供了以下贡献：我们分析了可能在不同的Fog计算层中采用的IDS解决方案，以及它们相关的部署和设计挑战；并且，考虑到已考虑的解决方案所发现的挑战，我们提出了一些有希望的未来方向。

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