Transport and Application Layer DDoS Attacks Detection to IoT Devices by Using Machine Learning and Deep Learning Models. [PDF]
Sensors (Basel), 2022 Almaraz-Rivera JG +2 more
europepmc +1 more source
SH-IDS: a resilient self-healing intrusion detection framework against DoS and DDoS attacks in IoT systems. [PDF]
Sci RepFatima M, Rehman O, Jhanjhi NZ, Ali S.
europepmc +1 more source
A hybrid deep learning model for detection and mitigation of DDoS attacks in VANETs. [PDF]
Sci RepJayakrishna N, Prasanth NN.
europepmc +1 more source
A Defense Framework for Flooding-based DDoS Attacks
, 2007 Distributed denial of service (DDoS) attacks are widely regarded as a major threat to the Internet. A flooding-based DDoS attack is a very common way to attack a victim machine by sending a large amount of malicious traffic.
Yonghua You
core
Nature-inspired swarm optimization paradigms for securing semantic web frameworks against DDoS attacks: a computational approach. [PDF]
Sci RepGanguli C +3 more
europepmc +1 more source
A statistical approach to secure health care services from DDoS attacks during COVID-19 pandemic. [PDF]
Neural Comput Appl, 2021 Zhou Z +4 more
europepmc +1 more source
Traceback of DDoS attacks using entropy variations
, 2011 Distributed Denial-of-Service (DDoS) attacks are a critical threat to the Internet. However, the memoryless feature of the Internet routing mechanisms makes it extremely hard to trace back to the source of these attacks.
Robin Ram Mohan Doss (13090617) +3 more
core
A Multi-Class Intrusion Detection System for DDoS Attacks in IoT Networks Using Deep Learning and Transformers. [PDF]
Sensors (Basel)Wahab SA +5 more
europepmc +1 more source
A lightweight blockchain based scalable and collaborative mitigation framework against new flow DDoS attacks in SDN enabled autonomous systems. [PDF]
Sci RepGarg S, Goyal S, Bhandari A.
europepmc +1 more source
Securing IoT Networks Against DDoS Attacks: A Hybrid Deep Learning Approach. [PDF]
Sensors (Basel)Ain NU +4 more
europepmc +1 more source