Advancements in cyberthreat intelligence through resource exhaustion attack detection using hybrid deep learning with heuristic search algorithms.

Abstract

Authors

• S Jayanthi
  Department of Artificial Intelligence & Data Science, Faculty of Science and Technology (IcfaiTech), The ICFAI Foundation for Higher Education (IFHE), Hyderabad, Telangana, 01 503, India.
• Swathi Sowmya Bavirthi
  Department of IT, Chaitanya Bharathi Institute of Technology, Gandipet, Hyderabad, 500075, India.
• P Murali
  CSE Department, Aditya University, Surampalem, Andhra Pradesh, India.
• K Vijaya Kumar
  Department of CSE, GITAM School of Technology, GITAM University, Visakhapatnam, India.
• Hend Khalid Alkahtani
  Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
• Mohamad Khairi Ishak
  Department of Electrical and Computer Engineering, College of Engineering and Information Technology, Ajman University, Ajman, United Arab Emirates. m.ishak@ajman.ac.ae.
• Samih M Mostafa
  Faculty of Computers and Information, South Valley University, Qena 83523, Egypt.

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