Wearables devices are personal IoT elements that allow the collection of data from a person and send them to a computer system for processing, said devices make use of local connections (cove-rage area) and are usually within that area in where you can have control of privacy, integrity or confidentiality, whereby, when a mobility of the person is necessary, the IoT must leave its cove-rage area, losing this security process. The objective is to propose a method that helps mitigate the risk of loss of privacy on the data in the IoT Wearables devices, when they leave a protected area (in which they normally connect) through fog computing or Fog. Computing (hereinafter FC) that travels with the Wearable. For this, three wireless communication technologies have been evalua-ted, which are Bluetooth, RFID and NFC; determining which is the best adapted to transport infor-mation from IoT to FC. The RSA encryption algorithms, Diffie-Hellman Elliptic Curve - DHEC, Homo-morphic JPAILLIER - HJP and AES, are also evaluated as a protection mechanism for the information sent from FC to the cloud, for which, for the selection of The most suitable technology and en-cryption algorithm is a series of technical tests, delivering through a points system, the valuation of each test. Finally, the results of the tests are positive and show that the NFC technology is the one that best adapts to the limitations of IoT and that DHEC is an encryption algorithm that provides better sca-lability to the proposed method. Later an evaluation of the proposal is made in which it is demons-trated that it solves the problem of loss of protection by leaving a protected coverage