- Learning automata-based
- Honeypots-based DDoS
- Risk transfer mechanism-based
- Blockchain-based DDoS defense
- Software-defined networking-based
- An IoT middleware-based
- Machine learning (ML) detection
Denial-of-service attacks have a unique working procedure than others because systems and software can’t find any initial signs on the targeted device. It normally has gradual effects while attacking, it congests the network, server, and bandwidth which ultimately makes all the systems shut down. There are many new trends for DDoS attacks and discovering the detection and mitigation techniques. The realization of the network and real-time scenario, network dependency, quantity and quality of different data sets, and quality of Services are the different gaps that need to be realized for the current full ICT-enabled world. Different attacking techniques like ACK and SYN flood, DNS, NTP amplification, UDP, HTTP, ICMP Flooding, and Zero-day are being used to bleach the victims and their networks. The research development under DDoS detection and mitigation is still progressing way, researchers and organizations are agreeing together with much more efficient and innovative ideas. Learning automata, Honeypots, Risk transfer, blockchain, SDN, IoT based, and Machine learning are the latest techniques that organizations are using to detect and mitigate DDoS attacks.