3 months, 1 week from now

IEEE BigData 2019 Cup: Suspicious Network Event Recognition

Suspicious Network Event Recognition is a data mining challenge organized in association with IEEE BigData 2019 conference. The task is to decide which alerts should be regarded as suspicious based on information extracted from network traffic logs. The competition is kindly sponsored by Security On-Demand (https://www.securityondemand.com/) and QED Software (http://qed.pl/).

Cyber threat detection and analytics play a pivotal role in providing security to organizations that provide web services, and to their users. Importance of this field is continuously growing due to the increasing abundance of Internet services, wireless networks, smart devices, etc.   Since the cybersecurity domain is hugely complex, it is also one of the major challenges of the contemporary world.

In this challenge, the task is to detect truly suspicious events and false alarms within the set of so-called network traffic alerts, that the Security Operations Center (SOC) Team members @ SOD have to analyze on an everyday basis. An efficient classification model could help the SOC Team to optimize their operations significantly. It is worth adding that although the competition sponsor is entirely commercial, the knowledge and experience that can be gathered by the competition participants may be highly beneficial to improve the intelligent cybersecurity modules in many organizations.

More details regarding the task and a description of the challenge data can be found in the Task description section.

Special track at IEEE BigData 2019: A special session devoted to the challenge will be held at the conference. We will invite authors of selected challenge reports to extend them for publication in the conference proceedings (after reviews by Organizing Committee members) and presentation at the conference. The publications will be indexed in the same way as regular conference papers. The invited teams will be chosen based on their final rank, innovativeness of their approach and quality of the submitted report. 


  • D. Ślęzak, A. Chądzyńska-Krasowska, J. Holland, P. Synak, R. Glick, M. Perkowski: Scalable Cyber-security Analytics with a New Summary-based Approximate Query Engine. IEEE BigData 2017: 1840-1849
Terms & Conditions
Please logIn to the system!

The data set available in the challenge consist of alerts investigated by a SOC team at SOD (called ‘investigated alerts’). Each record is described by various statistics selected based on experts’ knowledge, and a hierarchy of associated IP addresses (anonymized), called assets. For each asset in the data table, there is a 30-day history of related alerts. The data set covers a period between October 1, 2018, and March 31, 2019. 

For each alert in the ‘investigated alerts’ table, there is also a detailed set of network operations acquired by SOD (anonymized to ensure the safety of SOD clients).

The task for participants is to predict which of the investigated alerts were considered truly suspicious by the SOC team and led to issuing a notification to SOD’s clients.

More details regarding the data and the required format of submissions will be given when the data sets are released.

Rank Team Name Score Submission Date
  • May 27, 2019: web site of the challenge opens, the task is revealed,
  • June 15, 2019 July 1, 2019: start of the competition, data become available,
  • September 29, 2019 (23:59 GMT): deadline for submitting the solutions,
  • October 2, 2019 (23:59 GMT): deadline for sending the reports, end of the competition,
  • October 7, 2019: online publication of the final results, sending invitations for submitting papers for the special track at the IEEE BigData 2019 conference,
  • October 28, 2019: deadline for submiting invited papers,
  • November 4, 2019: notification of paper acceptance,
  • November 15, 2019: camera-ready of accepted papers due,
  • December 9-12, 2019: the IEEE BigData 2019 conference (special track date TBA).

Authors of the top-ranked solutions (based on the final evaluation scores) will be awarded prizes funded by our sponsors:

  • First Prize: 1500 USD + one free IEEE BigData 2019 conference registration,
  • Second Prize: 1000 USD + one free IEEE BigData 2019 conference registration,
  • Third Prize: 500 USD + one free IEEE BigData 2019 conference registration.

The award ceremony will take place during the special track at IEEE BigData 2019 conference.

  • Dominik Ślęzak, QED Software & Security On-Demand & University of Warsaw
  • Agnieszka Chądzyńska-Krasowska, Security On-Demand & Polish-Japanese Academy of Information Technology
  • Joel Holland, Security On-Demand
  • Andrzej Janusz, QED Software & University of Warsaw
  • Daniel Kałuża, QED Software
  • Bartek Konarski, Security On-Demand
  • Agnieszka Sochal, QED Software

In case of any questions please post on the competition forum or write an email at contact {at} knowledgepit.ml 


This forum is for all users to discuss matters related to the competition. Good manners apply!
  Discussion Author Replies Last post
a delay in disclosure of the competition data Andrzej 0 by Andrzej
Saturday, June 15, 2019, 08:59:20
No option to add team memeber after creating the group AMIT 1 by Andrzej
Thursday, May 30, 2019, 12:42:57