Palembang - Students and researchers at Sriwijaya University (UNSRI) have the opportunity to explore a crucial topic in network security through a recent webinar organized by the ACM Student Chapter. Titled "Botnet IoT Detection with Data Reduction Approach", the webinar promises a deep insight into botnet detection in the Internet of Things (IoT).

Led by Dr. Susanto, an UNSRI Doctor of Engineering Science alumni who is also a researcher at COMNETS, this webinar is scheduled for Tuesday, February 06, 2024 at 16.00 WIB. Dr. Susanto will present an innovative approach in detecting botnets by utilizing a data reduction approach, a concept that is being highlighted in information security research.

Attendees of the webinar are expected to gain valuable insights into effective detection methods, as well as the importance of data reduction strategies in accelerating the botnet identification process in increasingly complex IoT environments.

This webinar is part of ACM Student Chapter UNSRI's efforts to provide practical insights to students and encourage interest and deeper understanding in the field of network security and IoT.

For those interested in joining this webinar, more information can be found through the official ACM Student Chapter UNSRI platform. Don't miss this opportunity to expand your knowledge and skills in network security which is increasingly important in this digital era.

Media Contact: ACM Student Chapter UNSRI
Email: acm@student.unsri.ac.id
Instagram: infosec_unsri