Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Rani, M.; Arul Mary Rexy, V.; Halle, Priyanka D; Kaushal, Jyoti; Chauhan, Amit; Basha, H. Anwer Title A name given to the resource A Systematic Approach for Predicting Cybersecurity Attacks in IoT using CNN-LSTM with HABCABO Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 3rd IEEE International Conference on Data Science and Network Security, ICDSNS 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICDSNS65743.2025.11168604" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICDSNS65743.2025.11168604</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105019062459?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105019062459?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rani M., Kumaraguru College of Technology and Business School, Coimbatore, India; Arul Mary Rexy V., Simats Kuthambakkam, Saveetha College of Liberal Arts and Sciences, Department of Commerce, Chennai, India; Halle P.D., Skn Sinhgad Institute of Technology and Science, Department of Information Technology, Lonavala, Pune, India; Kaushal J., Geetanjali Institute of Technical Studies, Department of Computer Science and Engineering, Udaipur, India; Chauhan A., School of Sciences, Christ (Deemed to Be University), Department of Life Sciences, Bengaluru, India; Basha H.A., Saveetha Institute of Medical and Technical Sciences, Saveetha College of Liberal Arts and Sciences, Department of Computer Science, Chennai, India Description An account of the resource IoT has transformed how devices work together. Now, billions of connected devices may share data across smart homes, energy systems, and environmental monitoring. In Internet of Things ecosystems, rapid IoT expansion has made them very vulnerable, which makes them easy targets for cyberattacks. Hackers can break into IoT devices that don't have enough protection to stop services, steal data, and invade privacy. This paper shows how to use deep learning using CNNs and LSTM networks and the HABCABO optimization algorithm to deal with these new dangers. After careful sequencing, scaling, and noise reduction, filter-based feature selection uses statistical methods to keep the most important information. To get the best detection, the CNN-LSTM model is trained with features that are carefully regulated. The suggested model is more accurate than CNN and LSTM approaches, with an accuracy rate of 98.04 %. These results show that the model can find and stop IoT cybersecurity threats. In conclusion, CNN-LSTM and HABCABO are strong and smart ways to make sure that IoT infrastructure is safe and reliable right now. 2025 IEEE. Subject The topic of the resource cybersecurity attacks; internet of things (IOT); long short-term memory (LSTM) Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833153679-4; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online