G
Gokay Saldamli
Researcher at San Jose State University
Publications - 51
Citations - 506
Gokay Saldamli is an academic researcher from San Jose State University. The author has contributed to research in topics: Modular arithmetic & Multiplication. The author has an hindex of 10, co-authored 47 publications receiving 376 citations. Previous affiliations of Gokay Saldamli include Samsung & Indian Institute of Technology (BHU) Varanasi.
Papers
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Book ChapterDOI
Security Challenges in Cloud Computing
TL;DR: This paper investigates few major security issues with cloud computing and the existing counter measures to those security challenges in the world of cloud computing.
Journal ArticleDOI
Elliptic and hyperelliptic curves on embedded μP
TL;DR: This contribution appears to be the first thorough comparison of two public-key families, namely elliptic curve (ECC) and hyperelliptic curve cryptosystems on a wide range of embedded processor types (ARM, ColdFire, PowerPC).
Journal ArticleDOI
Reconsidering big data security and privacy in cloud and mobile cloud systems
TL;DR: An efficient hybrid mobile cloud computing model based on cloudlets concept is proposed and applied to health care systems as a case study and according to the experimental power and delay results, the hybrid cloud model performs up to 75% better when compared to the traditional cloud models.
Proceedings ArticleDOI
Private proximity testing with an untrusted server
TL;DR: This work describes a new three-party protocol, based on basic notions of geometry and linear algebra, that decreases the number of encryptions needed and gives a more efficient solution for private equivalence testing.
Proceedings ArticleDOI
Health Care Insurance Fraud Detection Using Blockchain
Gokay Saldamli,Vamshi Reddy,Krishna S. Bojja,Manjunatha K. Gururaja,Yashaswi Doddaveerappa,Lo'ai Tawalbeh +5 more
TL;DR: A blockchain based solution for health insurance fraud detection is proposed, necessary to build a system to securely manage and monitor insurance activities by integrating data from all the insurance companies.