Fraud & Anomaly Detection Using ELK Stack, Kibana & Python Elast-Alert
Fraud & Anomalies in e-commerce domains is on the rise. Conventional monitoring and alerting frameworks usually are either not smart enough to detect such frauds & anomalies, configured incorrectly, or are too slow, and by the time we receive an alert for the same, the fraud or anomaly has already caused its damage.
During this talk we would be using the ELK Stack to process and accumulate alerts, use Kibana for Dashboards and Visuals, and use Python Elast-Alert to generate alerts in forms of Emails, JIRA Issue, HipChat, Slack, AWS SNS integeration.
Basic Python Programming 2.7 or 3.x Python Library Modules Intermediate ELK Stack Knowledge Intermediate Security Knowledge
Dhruv Kalaan = I am a Data Science + Security Expert, currently working at Makemytrip India Pvt Ltd. working on ETL Automation, Using the ELK Stack to accumulate Security Logs/Access Logs, using SIEM, to understand these logs and correlate them, and push these logs in forms of alerts or events to databases, or Alerting Tools. In my free time, I love reading about new technologies out in the market to drive complex solutions to closure with simpler tools and solutions.
Kunal Aggarwal - I am a DevOps + Security Expert, currently working at MakeMyTrip India Pvt. Ltd. Carrying over 2 years experience of DevOps, I develop Automation Tools, do Security Tasks like VAPT's, Bug Bounty, Vulnerability Assessments. In my free time, I love to participate in coding challenges and looking out for new vulnerabilities on the web and try to exploit them.