Cyber & Data Science

Our Data Science research capability is centred on the four skill sets of data analysis, data acquisition, data mining and data structures.

In practical terms, this involves extracting and analysing knowledge from continuous streams of data in real-time, based on systems we have developed in the past for mining, collecting, processing and analysing non-real time information. We have undertaken research into tracking since the 1960s. To support Big Data Science, we’ve scaled up the ability of our middleware to support complex event processing, allowing continuous analysis of petabytes of data streams per day.

Our in-house analytics expertise extends to machine learning, sentiment analysis, cognitive systems engineering, fusion of multi-media intelligence sources, image and video analysis and Bayesian inference.

This gives us the ability to practically implement, and apply, statistical techniques and methods to a wide variety of unstructured and structured datasets.

The end result is that we enable organisations to make maximum use of their knowledge. For the most part, we operate in the UK Defence and Security sector because of our embedded domain knowledge. However, this work puts us in an enviable position to translate algorithmic techniques to new applications and domains. We interact with clients to understand their business questions that need answering and translate this need into technical solutions to answer the question.

Integrated with our Data Science team is our Cyber Protective Monitoring service, combining network security technology with a team of analysts to track external threats and network events in real time. Powerful system architecture data analytics and security events management enables us to identify potential attacks by detecting suspicious activity. In direct support of this service our Cyber Researchers and Data Scientists are constantly developing tools and techniques for detecting advanced cyber attack, using data analytics and correlation across multiple data types. These have been combined into a toolset for our analysts, a modular system to which new modules and analytics can be added, which uses a Hadoop Big Data engine to implement the analytics.

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Cyber & Data Science