Table 1.

Proactive techniques used.

Problem	Methodology Used	Findings	Reference
Risk mitigations and proactive threats	Reactive defense measured	Highlights threats and risk mitigations solutions	[35]
Cyber-attacks	Early response/proactive response	Changes active to proactive security system	Both AI and ML used in future [36]
Data breaches in business industries	IoT used	Recommend legacy system	[37]
Cyber-attacks	Artificial Intelligence based	Enhanced decision support system	[38]
Cyber-attacks	Bayesian long-short term memory	Holistic approach covering 42 attacks across 36 countries.	[39]
Distributed reflection denial of service (DRDoS)	Proposed proactive feature selection model (PFS)	PFS shows better accuracy for DRDoS detection	[40]
Destructive cyber-threats	Neural network-based machine and deep learning approach	Proactive cyber-threat detection with greater accuracy and prediction	[41]