با سلام خدمت کاربران عزیز، به اطلاع می رساند ترجمه مقالاتی که سال انتشار آن ها زیر 2008 می باشد رایگان بوده و میتوانید با وارد شدن در صفحه جزییات مقاله به رایگان ترجمه را دانلود نمایید.
عنوان انگلیسی مقاله:
A lightweight CLAS scheme with complete aggregation for healthcare mobile crowdsensing
ترجمه فارسی عنوان مقاله:
یک طرح CLAS سبک وزن با تجمیع کامل برای سنجش جمعیت سیار مراقبت های بهداشتی
Sciencedirect - Elsevier - Computer Communications, 147 (2019) 209-224: doi:10:1016/j:comcom:2019:08:027
Ismaila Adeniyi Kamil, Sunday Oyinlola Ogundoyin ∗
The vast increase in the deployment of smart devices and the ubiquity of the Internet have evolved a new
technology referred to as mobile crowdsensing (MCS). In healthcare MCS (HMCS), mobile devices can collect
and upload medical data to the cloud server where authorized healthcare providers can access the relevant
data for proper diagnosis and treatments. However, since this process is directly connected with patient’s
sensitive health information, any unauthorized disclosure may have serious consequences on the patient’s
wellbeing, hence privacy and security are serious issues in HMCS. To achieve data privacy and integrity, some
certificateless aggregate signature (CLAS) schemes have been proposed. Very recently, four independent CLAS
schemes were proposed for healthcare application. The authors claimed that their schemes were semantically
secure in the security model. In this work, we analyze these schemes and find them to be insecure since there
exists an adversary who can always forge a valid signature. Afterwards, we put forward a new CLAS scheme for
HMCS application based on Elliptic Curve Cryptography (ECC) and hash function. In the proposed scheme, an
aggregator can perform complete aggregation of certificateless signatures, resulting in improved performance.
The proposed scheme satisfies all the security and privacy requirements of HMCS and can prevent possible
attacks. Moreover, we show that the scheme is semantically secure with the assumption that the Discrete
Logarithm Problem (DLP) is intractable. Extensive performance analysis and comparison show that the scheme
is much more efficient than the state-of-the-art schemes.
Keywords: Healthcare | Mobile crowdsensing | Privacy | Elliptic curve cryptography | Certificateless aggregate signature | Discrete Logarithm Problem (DLP) | Aggregation