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

• 批准号: 10076403
• 金额: $ 6.37万
• 依托单位: CONATIX UK LTD
• 依托单位国家: 英国
• 项目类别: Grant for R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10076403
• 关键词: AI; Based; Real; Time; Fraudulent

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.

在安全软件定义的无线网络上基于项目AI的实时欺诈性和可疑活动检测的目的是将Conatix欺诈和异常检测技术从“常规”网络转移到虚拟软件定义的无线网络。一旦我们证明了该项目的概念和价值，我们就可以将技术应用于需要安全无线网络的许多不同特定的技术用例，例如自动驾驶汽车，船舶，飞机，坦克，坦克，远程和室外工作，孤立的位置，紧急灾难，极端天气状况以及其他障碍，以及当前无人机的主要障碍是无线范围内的，这是无线依赖性的。运输和军事只是无线网络市场的前沿。虚拟软件定义的网络可以并且将以其速度，便利性和价值进一步改变业务和社会，但是在“内部人士”（必须）可以更广泛地使用“内部人员”（必须）攻击风险。这只能通过捕获和分析大规模混乱的非结构化数据来对单个用户和终点的层面上的事件和行为进行建模，而不是在整个网络的级别上进行建模。Conatix及其团队赢得了许多创新奖，以将人工智能应用于欺诈和可疑活动，并在标准企业IT网络上进行可疑活动。 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在市场上生产并推出。