Preserving Security and Privacy in Big Healthcare Data

Abstract

any trade. one amongst the foremost promising fields wherever huge knowledge will be applied to create a modification is attention. huge attention knowledge has extended potential to boost patient outcomes, predict outbreaks of epidemics, gain valuable insights, avoid preventable diseases, cut back the value of supplying and improve the standard of life generally. However, preferring the allowable uses of knowledge whereas conserving security and patient’s right to privacy may be a tough task. Big data, in spite of however helpful for the advancement of life science and important to the success of all attention organizations, will solely be used if security and privacy problems square measure self-addressed. to confirm a secure and trustworthy huge knowledge atmosphere, it's essential to spot the constraints of existing solutions and envision directions for future analysis. during this paper, we've got surveyed the progressive security and privacy challenges in huge knowledge as applied to attention trade, assessed however security and privacy problems occur just in case of huge attention knowledge and mentioned ways that within which they'll be self-addressed. we tend to primarily targeted on the recently planned ways supported anonymization and coding, compared their strengths and limitations, and unreal future analysis directions. Big knowledge has essentially modified the manner organizations manage, analyze and leverage knowledge in