{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T10:11:54Z","timestamp":1777889514180,"version":"3.51.4"},"reference-count":30,"publisher":"SAGE Publications","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["KES"],"published-print":{"date-parts":[[2024,10,9]]},"abstract":"<jats:p>Anomaly detection in networks to identify intrusions is a common and successful security measure used in many different types of network infrastructure. Network data traffic has increased due to the proliferation of viruses and other forms of cyber-attacks as network technology and applications have developed quickly. The limitations of classical intrusion detection, such as poor detection accuracy, high false negatives, and dependence on dimensionality reduction methods, become more apparent in the face of massive traffic volumes and characteristic information. That\u2019s why IoT infrastructures often use Software-Defined Networking (SDN), allowing for better network adaptability and control. Hence, this paper\u2019s convolutional neural network-based Security Evaluation Model (CNN-SEM) is proposed to secure the source SDN controller from traffic degradation and protect the source network from DDoS assaults. The proposed CNN-SEM system might defend against DDoS assaults once discovered by applying and testing a Convolutional Neural Network (CNN). The model can automatically extract the useful aspects of incursion samples, allowing for precise classification of such data. The detection and mitigation modules evaluate the proposed SDN security system\u2019s performance, and the findings showed promise against next-generation DDoS assaults. The experimental results show the CNN-SEM achieves a high accuracy ratio of 96.6%, a detection ratio of 97.1%, precision ratio of 97.2%, a performance ratio of 95.1% and an enhanced security rate of 98.1% compared to other methods.<\/jats:p>","DOI":"10.3233\/kes-230407","type":"journal-article","created":{"date-parts":[[2024,3,22]],"date-time":"2024-03-22T12:04:17Z","timestamp":1711109057000},"page":"497-516","source":"Crossref","is-referenced-by-count":2,"title":["Research on neural networks in computer network security evaluation and prediction methods"],"prefix":"10.1177","volume":"28","author":[{"given":"Hanyu","family":"Wei","sequence":"first","affiliation":[{"name":"College of Cyberspace Security,"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xu","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Cyberspace Security,"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baolan","family":"Shi","sequence":"additional","affiliation":[{"name":"College of Engineering and Applied Science, University of Colorado Boulder, Boulder, Colorado, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"issue":"1","key":"10.3233\/KES-230407_ref1","doi-asserted-by":"crossref","first-page":"88","DOI":"10.34306\/ijcitsm.v2i1.93","article-title":"Implementation of authentication systems on hotspot network users to improve computer network security","volume":"2","author":"Dolan","year":"2022","journal-title":"International Journal of Cyber and IT Service Management."},{"key":"10.3233\/KES-230407_ref2","doi-asserted-by":"crossref","unstructured":"Wang L. The application of data encryption technology in computer network security. In 2023 International Conference on Networking, Informatics and Computing (ICNETIC). IEEE. 2023 May: 114-118.","DOI":"10.1109\/ICNETIC59568.2023.00030"},{"key":"10.3233\/KES-230407_ref3","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1002\/9781119812555.ch11","article-title":"Big data architecture for network security","author":"Bansal","year":"2022","journal-title":"Cyber Security and Network Security."},{"key":"10.3233\/KES-230407_ref4","doi-asserted-by":"crossref","unstructured":"Qin S, Lao C. Computer network security protection system based on genetic algorithm. In 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC). IEEE. 2023 June: 1-8.","DOI":"10.1109\/ICAISC58445.2023.10200976"},{"key":"10.3233\/KES-230407_ref5","doi-asserted-by":"crossref","unstructured":"Guo B, Zhao W, Chen P, Zhang C, Sun Z, Feng W. Research on the application risk of computer network security technology. In 2023 International Conference on Networking, Informatics and Computing (ICNETIC). IEEE. 2023 May: 36-39.","DOI":"10.1109\/ICNETIC59568.2023.00013"},{"key":"10.3233\/KES-230407_ref6","unstructured":"Dewangan O, Sarkar P. A study on network security using deep learning methods. Advanced Engineering Science. 2022; 54(2)."},{"key":"10.3233\/KES-230407_ref7","doi-asserted-by":"crossref","unstructured":"Yina Q. Discussion on computer network security technology and firewall technology. International Journal of New Developments in Engineering and Society. 2022; 6(4).","DOI":"10.25236\/IJNDES.2022.060408"},{"key":"10.3233\/KES-230407_ref8","doi-asserted-by":"crossref","first-page":"100306","DOI":"10.1016\/j.array.2023.100306","article-title":"Ensuring network security with a robust intrusion detection system using ensemble-based machine learning","volume":"19","author":"Hossain","year":"2023","journal-title":"Array."},{"issue":"3","key":"10.3233\/KES-230407_ref9","doi-asserted-by":"crossref","first-page":"2251","DOI":"10.1109\/TNSM.2022.3202426","article-title":"Guest editors introduction: special section on recent advances in network security management","volume":"19","author":"Badonnel","year":"2022","journal-title":"IEEE Transactions on Network and Service Management."},{"key":"10.3233\/KES-230407_ref10","doi-asserted-by":"crossref","unstructured":"Li F. Network security evaluation and optimal active defense based on attack and defense game model. In 2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE). IEEE. 2023 April: 1-7.","DOI":"10.1109\/ICDCECE57866.2023.10151226"},{"issue":"3","key":"10.3233\/KES-230407_ref11","doi-asserted-by":"crossref","first-page":"1856","DOI":"10.11591\/ijeecs.v30.i3.pp1856-1865","article-title":"Malicious attacks modelling: a prevention approach for ad hoc network security","volume":"30","author":"Talib","year":"2023","journal-title":"Indonesian Journal of Electrical Engineering and Computer Science."},{"issue":"5","key":"10.3233\/KES-230407_ref12","doi-asserted-by":"crossref","first-page":"e4643","DOI":"10.1002\/dac.4643","article-title":"Application of information communication network security management and control based on big data technology","volume":"35","author":"Du","year":"2022","journal-title":"International Journal of Communication Systems."},{"issue":"1","key":"10.3233\/KES-230407_ref13","doi-asserted-by":"crossref","first-page":"147","DOI":"10.33395\/sinkron.v7i1.11249","article-title":"Analysis and evaluation of wireless network security with the penetration testing execution standard (PTES)","volume":"7","author":"Astrida","year":"2022","journal-title":"Sinkron: jurnal dan penelitian teknik informatika."},{"key":"10.3233\/KES-230407_ref14","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/j.future.2021.09.018","article-title":"AI-assisted computer network operations testbed for nature-inspired cyber security based adaptive defense simulation and analysis","volume":"127","author":"Shandilya","year":"2022","journal-title":"Future Generation Computer Systems."},{"key":"10.3233\/KES-230407_ref15","doi-asserted-by":"crossref","first-page":"103661","DOI":"10.1016\/j.csi.2022.103661","article-title":"A BIPMU-based network security situation assessment method for wireless network","volume":"83","author":"Liu","year":"2023","journal-title":"Computer Standards & Interfaces."},{"key":"10.3233\/KES-230407_ref16","doi-asserted-by":"crossref","unstructured":"Hu C, Liu G, Li M. A network security situation prediction method based on attention-CNN-BiGRU. In 2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE. 2022 May: 257-262.","DOI":"10.1109\/CSCWD54268.2022.9776030"},{"issue":"4","key":"10.3233\/KES-230407_ref17","first-page":"497","article-title":"Blockchain-based model for smart home network security","volume":"9","author":"Johari","year":"2022","journal-title":"Int J Comput Networks Appl."},{"issue":"3","key":"10.3233\/KES-230407_ref18","doi-asserted-by":"crossref","first-page":"239","DOI":"10.31763\/iota.v3i3.613","article-title":"Network security analysis based on internet protocol security using virtual private network (VPN)","volume":"3","author":"Parenreng","year":"2023","journal-title":"Internet of Things and Artificial Intelligence Journal."},{"issue":"1","key":"10.3233\/KES-230407_ref19","doi-asserted-by":"crossref","first-page":"2635","DOI":"10.21917\/ijct.2022.0389","article-title":"The role of integrated structured cabling system (ISCS) for reliable bandwidth optimization in high-speed communication network","volume":"13","author":"Logeshwaran","year":"2022","journal-title":"ICTACT Journal on Communication Technology."},{"issue":"9","key":"10.3233\/KES-230407_ref20","first-page":"28","article-title":"Role of intrusion detection system in network security and types of cyber attacks-a review","volume":"7","author":"Mirlekar","year":"2022","journal-title":"International Journal."},{"issue":"2","key":"10.3233\/KES-230407_ref21","first-page":"681","article-title":"An information security performance measurement tool for senior managers: Balanced scorecard integration for security governance and control frameworks","volume":"25","author":"Herath","year":"2023","journal-title":"Information Systems Frontiers."},{"issue":"2","key":"10.3233\/KES-230407_ref22","doi-asserted-by":"crossref","first-page":"78","DOI":"10.17323\/10.17323\/2713-2749.2023.2.78.121","article-title":"Balancing cyber-security and privacy: legal and ethical considerations in the digital age","volume":"4","author":"Allahrakha","year":"2023","journal-title":"Legal Issues in the Digital Age."},{"key":"10.3233\/KES-230407_ref23","doi-asserted-by":"crossref","first-page":"103014","DOI":"10.1016\/j.cose.2022.103014","article-title":"A cascaded federated deep learning based framework for detecting wormhole attacks in IoT networks","volume":"125","author":"Alghamdi","year":"2023","journal-title":"Computers & Security."},{"key":"10.3233\/KES-230407_ref24","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.comcom.2022.12.010","article-title":"A deep learning technique for intrusion detection system using a recurrent neural networks based framework","volume":"199","author":"Kasongo","year":"2023","journal-title":"Computer Communications."},{"key":"10.3233\/KES-230407_ref25","doi-asserted-by":"crossref","first-page":"109579","DOI":"10.1016\/j.comnet.2023.109579","article-title":"Blockchain-enhanced cross-isp spectrum assignment framework in sdons: spectrumchain","volume":"223","author":"Guler","year":"2023","journal-title":"Computer Networks."},{"issue":"3","key":"10.3233\/KES-230407_ref26","doi-asserted-by":"crossref","first-page":"103751","DOI":"10.1016\/j.im.2022.103751","article-title":"Cultivating security culture for information security success: A mixed-methods study based on anthropological perspective","volume":"60","author":"Tejay","year":"2023","journal-title":"Information & Management."},{"issue":"2","key":"10.3233\/KES-230407_ref27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3571733","article-title":"Assessing cyber risk in cyber-physical systems using the ATT&CK framework","volume":"26","author":"Amro","year":"2023","journal-title":"ACM Transactions on Privacy and Security."},{"key":"10.3233\/KES-230407_ref28","doi-asserted-by":"crossref","first-page":"108813","DOI":"10.1016\/j.compeleceng.2023.108813","article-title":"Deep learning technology of computer network security detection based on artificial intelligence","volume":"110","author":"Liu","year":"2023","journal-title":"Computers and Electrical Engineering."},{"issue":"4","key":"10.3233\/KES-230407_ref29","first-page":"282","article-title":"Ensuring computer data and management system security","volume":"3","author":"Yeshmuratova","year":"2023","journal-title":"International Bulletin of Applied Science and Technology."},{"issue":"13","key":"10.3233\/KES-230407_ref30","doi-asserted-by":"crossref","first-page":"6645","DOI":"10.3390\/app12136645","article-title":"Lan intrusion detection using convolutional neural networks","volume":"12","author":"Zainel","year":"2022","journal-title":"Applied sciences."}],"container-title":["International Journal of Knowledge-based and Intelligent Engineering Systems"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/KES-230407","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T05:14:40Z","timestamp":1777612480000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/KES-230407"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,9]]},"references-count":30,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.3233\/kes-230407","relation":{},"ISSN":["1327-2314","1875-8827"],"issn-type":[{"value":"1327-2314","type":"print"},{"value":"1875-8827","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,9]]}}}