Table 3.

Comparative analysis of proposed work with baseline techniques.

Author	Year	Applied Technique for Intrusion Detection in DDoS Attacks	IDS Applied for Detecting Attack Type	Remarks
Alamri et al. [33]	2020	Bandwidth control mechanism and XGBoost algorithm	DDoS attacks in Software-Defined Network	Trigger-based detection is applied using an adaptive-bandwidth-profile-based threshold where flawed flows are penalized for preventing bandwidth depletion.
Singh et al. [34]	2020	Threshold and entropy-based detection mechanism	Discriminating flash-crowd events from DDoS attacks	DDoS attacks on edge routers are detected using entropy and a threshold-based system.
Baskar et al. [35]	2021	Real-time traffic-monitoring algorithm using a multi-threshold system	Low-rate DDoS attacks	Low-rate DDoS attacks are detected using a multi-threshold traffic-analysis approach.
Jisa et al. [36]	2021	Threshold-based algorithm using network traffic parameter	Discriminating flash-crowd events from DDoS attacks	Dynamic threshold algorithm is introduced with less processing time for DDoS attack detection.
Proposed work	2021	Context-aware computing-based threshold mechanism	Memcached-based DDoS attacks	DDoS attacks using Memcached as an attack vector are mitigated efficiently by introducing architectural change in Memcached and using a context-aware threshold mechanism.