AI-Based Real-Time Fraudulent and Suspicious Activity Detection on Secure Software-Defined Wireless Networks

“安全软件定义无线网络上基于人工智能的实时欺诈和可疑活动检测”项目的目的是将Conatix欺诈和异常检测技术从“传统”网络移植并适应虚拟软件定义无线网络。一旦我们在这个项目中证明了这个概念和价值，我们就可以将这项技术应用于需要安全无线网络的许多不同的特定技术用例，例如自动驾驶汽车、船舶、飞机、坦克、远程和户外工作、孤立地点、紧急灾害和极端天气条件等。市场接受自动驾驶汽车的主要障碍之一是目前它们所依赖的无线网络的不安全性和暴露性。交通和军事只是无线网络市场的前沿。软件定义的虚拟网络能够并将以其速度、便利性和价值进一步改变商业和社会，但在广泛有效地使用之前，必须降低被“内部人士”攻击的风险，尤其是内部攻击的风险。这只能通过捕获和分析大量杂乱的非结构化数据来实现，以便在单个用户和端点级别而不是在整个网络级别对事件和行为进行建模。Conatix及其团队将人工智能应用于标准企业IT网络的欺诈和可疑活动监控，赢得了众多创新奖项。目前的活动将这种专业知识带到了通信网络的领先技术前沿：安全的虚拟软件定义无线网络，在这个网络上，内部/基于用户的威胁仍然是主要的未解决的安全漏洞，Conatix大规模非结构化流连续数据方法特别适合提高保护水平。所有这些都使Conatix能够将我们领先的分析技术带到需要它们的平台上，并在那里发挥作用。我们的分包商和合作伙伴iQuila是一家领先的先进无线网络初创公司，他们可以帮助Conatix提供数据可用性和现场测试，以确保项目产生的原型在实际无线网络用例中有效地工作。该项目应用人工智能为下一代网络提供下一代安全性，并将产生基于人工智能的原型/最小可行产品软件，以提高无线网络的安全性，经过现场测试和验证，并准备完全产品化并投放市场。

The aim of the project AI-Based Real-Time Fraudulent and Suspicious Activity Detection on Secure Software-Defined Wireless Networks is to transplant and adapt Conatix fraud and anomaly detection technology from "conventional" networks to virtual software-defined wireless networks. Once we prove the concept and value in this project, we can then apply the technology to many different specific technical use cases requiring secure wireless networks, such as autonomous vehicles, ships, planes, tanks, remote and outdoor working, isolated locations, emergency disasters and extreme weather conditions, and others.One of the main barriers to market acceptance of autonomous vehicles is the current insecurity and exposure of the wireless networks they depend on. Transport and military are only the leading edge of the market for wireless networks. Virtual software-defined networks can and will further transform business and society with their speed, convenience and value, but the risk of attack especially from within, by "insiders" (must) be reduced before they can be used widely and effectively. This can only be done by capturing and analyzing massive messy unstructured data to model events and behavior at the level of individual users and endpoints rather than at the level of the entire network.Conatix and its team have won numerous innovation awards for applying artificial intelligence to fraud and suspicious activity monitoring on standard enterprise IT networks. The present activity brings this expertise to the leading technical edge of communications networks: secure virtual software-defined wireless networks, on which insider / user-based threats remain the major unaddressed gap in security, and a place where the Conatix massive unstructured streaming continuous data approach is particularly suited to raise the level of protection.All of these things position Conatix to bring our leading edge analytics to the exact platform that requires them now and where they can shine.Our subcontractor and partner iQuila is a leading startup provider of advanced wireless networks who can help Conatix with data availability and field testing to ensure that the prototype(s) resulting from the project work effectively for real-world wireless networking use cases.The project applies AI to provide next gen security for next gen networks and will result in a prototype / minimum viable product AI-based software for increased security on wireless networks, field tested and validated and ready to be fully productized and launched on the market.