BibTeX:

@article{IJIRSTV3I1081,
     title={SCHS: Secured Cloud-assisted e-Healthcare System},
     author={Pooja Kolte and Ms. Kanchan Varpe},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={1},
     pages={288--293},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I1081.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Clinical documents are increasing daily in higher numbers with the patient’s health condition which is recovering and deteriorating continuously. Different existing healthcare systems are used in hospitals to store this health records. Privacy of patients becomes an issue due to these not so secure healthcare systems. This collected data is too large to store on small devices or to compute on it. Cloud-assisted e-healthcare system is proposed to store this huge dynamic data and providing privacy to the patient’s sensitive health records. The problem is that cloud might be semi-honest means it will help to store patient’s private data securely but also curious to know that private data. Therefore here we are proposing Secured Cloud-assisted e-Healthcare System (SCHS). E-healthcare system provides patients health monitoring, disease modeling and evidence based solutions from recognized healthcare providers or physicians. Secure data aggregation technique is used to aggregate data from different sources. For this, a secure and efficient Additive ElGamal algorithm that supports both homomorphic addition and multiplication is used. Finally, performance evaluations demonstrate our system achieves higher security and optimized storage and advantage over communication and computation overhead.

E-healthcare system, personal health records, privacy preservation, security, text mining, image feature extraction