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Mavenir announced it completed its acquisition of computer security services company Argyle Data in a move to enhance its machine learning security suite. Financial details of the purchase were not disclosed. Argyle Data is a provider of big data analytics applications, which takes a machine learning based approach to recognizing abnormalities in network traffic. With 5G wireless and the internet of things (IoT) reshaping network traffic, machine learning is being leveraged to uncover traffic patterns and discern fraud. According to a report published by Research and Markets, the global fraud detection and prevention (FDP) solutions market is expected to reach $42.6 billion by 2023, rising at a market growth of 19.6% CAGR during the forecast period.

Machine learning in 2017 will become a mainstream tool for communications providers struggling to transform data overload into actionable analytics, according to Argyle Data. "The telecommunications industry is drowning in data," said Padraig Stapleton, VP of engineering at Argyle Data. Stapleton said fraud and financial analysts alike are overwhelmed by the struggle to control and harness this fire-hose of information into actionable analytics. There is just too much IP traffic going across mobile networks for humans to review, detect and respond to fraud in the traditional ways such as discovering fraud and writing preventative rules. Machine learning does all the grunt work for analysts, sifting through data in real time and providing output instantly in understandable, accessible formats," said Stapleton.

Fraud is a big problem in the cellular networking market, and machine learning is one potential solution to the problem. Mathematics-based cyberdefence firm claims Antigena can teach itself to fight off new malicious intrusions -- without human involvement. Fraudulent usage of cellular networks costs the industry an estimated $38 billion a year, according to the 2015 Global Fraud Loss Survey by the Communications Fraud Control Association (CFCA), an international organization that promotes revenue assurance, loss prevention, and fraud control in the industry. The CFCA says fraudsters use methods including PBX hacking, subscription fraud, dealer fraud, service abuse, and account takeover to steal from service providers. Current fraud detection approaches in the industry rely on static rules with pre-set volume or frequency thresholds, said Ole J. Mengshoel, associate research professor in the Department of Electrical and Computer Engineering and director of the Intelligent and High-Performing Systems Lab at Carnegie Mellon University.

On this week's NFV/SDN Reality Check we have an interview with Argyle Data to discuss how mobile operators are using big data and machine learning technologies for real time fraud detection, prevention and profit. But first, let's take a look at some top headlines from across the space. AT&T this week announced plans to partner with Intel to work on the telecom giant's cloud network initiatives. The partnership calls for work on optimizing network functions virtualization packet processing efficiency for AT&T's Integrated Cloud platform, defining reference architecture and aligning NFV roadmaps in a move to speed AT&T's ongoing network transformation. AT&T has said its Integrated Cloud platform is where the carrier runs virtual network functions using OpenStack software at its core, with the carrier having set up 74 AIC physical locations in 2015, with plans for 105 by the end of this year and adding "hundreds more" by 2020.

On this week's NFV/SDN Reality Check we have an interview with Argyle Data to discuss how mobile operators are using big data and machine learning technologies for real time fraud detection, prevention and profit. But first, let's take a look at some top headlines from across the space. AT&T this week announced plans to partner with Intel to work on the telecom giant's cloud network initiatives. The partnership calls for work on optimizing network functions virtualization packet processing efficiency for AT&T's Integrated Cloud platform, defining reference architecture and aligning NFV roadmaps in a move to speed AT&T's ongoing network transformation. AT&T has said its Integrated Cloud platform is where the carrier runs VNFs using OpenStack software at its core, with the carrier having set up 74 AIC physical locations in 2015, with plans for 105 by the end of this year and adding "hundreds more" by 2020.

Argyle Data, a leader in big data/machine learning analytics for mobile providers, has highlighted the role of supervised and unsupervised machine learning in detecting and preventing anomalous mobile traffic. The move comes as Argyle Data and Carnegie Mellon University (CMU) Silicon Valley's Department of Electrical and Computer Engineering prepare to publish a new research paper on anomaly detection, which will be presented at academic conferences during the first half of 2017. Global mobile fraud levels cost the industry an estimated U.S. 38 billion 2015 according to the latest CFCA survey. Most major attacks today are'fraud cocktails': unpredictable mixtures of several fraud types. The chief reason that operators are unable to detect complex new fraud is that approaches currently used to detect fraud in communications networks typically rely on static rules with pre-set thresholds, and can only detect known fraud types.

Last year, mobile operators lost 38 billion ( 28bn) of their revenue to fraud, according to the Communications Fraud Control Association's 2015 survey. International crime rings are successfully and profitably using highly sophisticated techniques to bulldoze through phone companies' anti-fraud defences. However, emerging big data machine learning applications are beginning to turn the tide. Padraig Stapleton, vice president of engineering at Argyle Data provides insights on how mobile operators are deploying big data and AI to protect themselves and their consumers. Mobile operators face an increasingly complex battle against sophisticated global cybercriminals.