An Internet of Things (IoT)-Based Optimization to Enhance Security in Healthcare Applications

Algorithm 1

DDTHA.

	Inputs: training examples ; code length h; maximum
	iteration number p; parameter λ
	Output: binary codes
	Randomly select n examples from the trainingexamples and get the ;
	Initialize as a {−1, 1}l vector randomly;
	Initialize J as where
	Use (9) to initialize ;
	Use (7) to initialize P;
	Repeat
	T-step: Use (12) to solve T;
	K-step: Use (9) to solve E;
	S-step: Use (7) to solve T;
	To acquire the hash function qf, we must first train trees
	Until convergence