secRNNlong | Malicious Code Classification | Improved Cybersecurity

#cybersecurity #secRNNlong #maliciouscode #phishingattacks #blockchain #classification #lstm #transformers #verification #ai #databreach #datarisk #datasecurity #cybersecuritygoals #breachimpact #cryptography #confidentiality #integrity #authentication #acmconference #sigcite2025 #sacramento #california #universitystudents #dl #ai #research * Hello everyone, welcome back, in this video, Sanjay Charitesh Makam (BS student at Rochester Institute of Technology, Rochester, NY, USA) is presenting our secRNNlong manuscript at 26th ACM Annual Conference, ACM SIGCITE-2025 (another excellent research presentation from our team) ! * Table of contents for the secRNNlong project presentation: I. Malware Detection & Problem II. Background & Related Work III. Dataset – EMBER 2018 IV. Proposed Framework - secRNNlong V. Results VI. Key Insights & Discussion VII. Conclusion, and Future Scope * YouTube channel link: https://www.youtube.com/@NareshKSHETRI * Preprint/Publication of the paper: https://www.preprints.org/manuscript/202511.0384 * PPTX of the presentation: https://drive.google.com/file/d/12UreaFfUlu7rLoU0zmqMKx2pqxQW7FKO/view?usp=sharing * LinkedIn (let us connect): https://www.linkedin.com/in/NareshKshetri/ * Website (Google Sites): https://sites.google.com/view/NareshKshetri * Please like, share, & subscribe if the video was helpful !