چکیده مقاله
In recent years, the increasing popularity of theInternet and its applications has led to significant growth innetwork users Subsequently, the number and complexity ofcyber attacks realized against home users, businesses,government organizations, and critical infrastructure haveincreased significantly In many cases, it is critical to detectattacks early before significant damage is done to protectednetworks and systems, including sensitive data For thispurpose, researchers and cyber security experts use softwaredefined networking technology to defend against cyber attacksefficiently Software defined networking logically separates thecontrol plane from the data plane This feature enablesnetwork programming and blocks network traffic in real timeas soon as the diagnosis of anomalous activity The mainobjective of this research is to detect denial of service attacksin software defined networking The framework of theproposed model includes a data preprocessing process and theimplementation of a convolutional neural network structure After preprocessing the data and building the convolutionalneural network model, the training data is used as input totrain the convolutional neural network model According to theevaluation results, the values of precision, accuracy, recall, andF measure of the proposed model are 98 23, 98 78, 98 42, and98 32% respectively
کلیدواژهها
نویسندگان
Mohammadreza Samadzadeh
Department of Computer Iranians UniversityAn e Institute of Higher EducationTehran, Iran
Najmeh Farajipour Ghohroud
Department of Computer Iranians UniversityAn e Institute of Higher EducationTehran, Iran
شیوه ارجاع
Samadzadeh, Mohammadreza and Farajipour Ghohroud, Najmeh,1401,Detection of denial-of-service attacks in software defined networking based on traffic classification using deep learning,1st International Conference and 6th National Conference on Computers, information technology and applications of artificial intelligence
ارائهشده در
مجموعه مقالات اولین کنفرانس بین المللی و ششمین کنفرانس ملی کامپیوتر، فناوری اطلاعات و کاربردهای هوش مصنوعی3 اسفند 1401 · اهواز