Malicious entity detection using fine-grained DNA-inspired behavioural modelling

我们对涉及社交媒体网络(主要是Twitter)上的机器人检测问题的论文进行了文献综述，因为该项目的灵感来自于这个问题。很明显，自从这个项目被设想以来，Twitter上的自动账户变得更加复杂，也更难被检测到，因为它们现在更能模仿人类的行为。因此，我们投资于将网络安全与生物信息学结合起来。我们致力于实现生物信息学原理在网络安全研究中的整合：(1)使用“k-MERS”对一种新的图形密码方案的复杂性进行理论评估；(2)在一个开创性的社交网络研究领域中聚集DNA启发的行为建模；(3)设想使用GNN将从后者研究方向学到的知识转移到移动环境中的恶意软件检测问题。我们初步探索了如何将生物信息学(在理论层面上)嵌入到图形密码的复杂性(和安全性)量化问题。因此，我们实施了图形密码方案，并在运行Android操作系统的移动设备上测试了其可用性。然后，我们将Lothaire的组合理论(定义了“有限词”，然后是简单的度量“词的复杂性”)与基本生物信息学(k-MERS)相结合，并引入了一个复杂性度量来量化所提出的图形密码方案空间，目的是确定它与其他图形密码方案的比较情况。

We did a literature review of papers dealing with the problem of bot detection on social media networks (focused on Twitter) because the inspiration for the project was driven from this problem. It was obvious that since the project was envisioned, automated accounts on Twitter have become more sophisticated and more difficult to detect, as they are now more able to mimic human behaviour. Thus, we invested to aggregate Cyber Security with Bioinformatics. We worked towards three strands to achieve the integration of Bioinformatics principles in Cyber Security research: (1) a theoretical assessment of the complexity of a novel graphical password scheme using “k-mers”, (2) aggregation of DNA-inspired behavioural modelling within a ground-breaking field of research for social networks, and (3) envision to transfer knowledge learned from the latter direction of research to the problem of malicious software detection in mobile environments, using GNNs.We initially explored how we can embed Bioinformatics (in a theoretical level) to the problem of quantifying complexity (and security) for graphical passwords. We therefore implemented a graphical password scheme and tested its usability on mobile devices running the Android operating system. Then, we used Lothaire’s Combinatorics theory (definition of “finite word”, followed by the simple metric “complexity of a word”) with basic Bioinformatics (k-mers) and we introduced a complexity metric to quantify the proposed graphical password scheme space, aiming to identify how it compares with other graphical password schemes.