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Unsupervised Network Traffic Anomaly Detection Using Parameterized Entropy and LSTM AutoEncoders

Whitepaper

Unsupervised Network Traffic Anomaly Detection Using Parameterized Entropy and LSTM AutoEncoders

Detecting anomalous traffic provides one approach to network security threat detection. In this white paper we propose a behavior-based anomaly detection method that detects anomalous traffic by applying a threshold to a reconstruction error given by the LSTM AutoEncoder model on the Bro conn log data collected as time series data.

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Member Engagement Solution

Brochure

Member Engagement Solution

Built on a big data platform (NCQA Certified Healthcare Insights), ITC Infotech’s Member Engagement solution guarantees frequent and relevant interactions with members. We collect member data beyond traditional data sources including psychographics, SDOH, lifestyle, etc.

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Improving Quality Score Through Analytics – HEDIS Solution

Brochure

Improving Quality Score Through Analytics – HEDIS Solution

ITC Infotech’s Healthcare Insights platform is NCQA HEDIS® certified quality management solution with pre-built quality measures, business workflows and advanced analytics capabilities.

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Healthcare Insights Member Engagement Solution

Infographic

Healthcare Insights Member Engagement Solution

ITC Infotech Member Engagement solution enables, payers and providers, to leverage Big Data  analytics, Artificial Intelligence, and Machine Learning to engage with their members effectively while improving member satisfaction, brand image as well as lowering the cost of care delivered to improve profitability.

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Contact Us | Sitemap | Corporate Identity Number: U65991WB1996PLC077341 | For any queries or grievances contact Mr. Jay Shah at contact.us@itcinfotech.com

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