Method for outsourcing data for secure processing by untrusted third parties

• 1. 跨受信任和不受信任的分布式组件进行采样 [P] . 中国专利： CN112219194A . 2021-01-12
• 2. 使用不受信任的量子计算机生成经认证的随机数 [P] . 中国专利： CN113614687A . 2021-11-05
• 3. Method for Outsourcing Data for Secure Processing by Untrusted Third Parties [P] . 美国专利： US2013340098A1 . 2013-12-19

  机译： 不受信任的第三方将数据外包以进行安全处理的方法

• 4. OUTSOURCING METHOD OF DATA FOR SECURE PROCESSING BY UNRELIABLE THIRD PERSON [P] . 日本专利： JP2014003602A . 2014-01-09

  机译： 第三方不安全处理数据的外包方法

• 5. AUTOMATED METHOD FOR PROTECTING ELECTRONIC DATA FOR THE PURPOSES OF PROCESSING DATA BY MEANS OF A THIRD PARTY WHILE INCORPORATING TRANSPARENT COMPENSATION THAT IS SECURE IN THE EVENT OF INTERRUPTION [P] . 世界知识产权组织专利： WO2019180152A1 . 2019-09-26

  机译： 一种自动方法，其目的是通过在引入第三方补偿的情况下确保在发生中断的情况下通过第三方确保处理数据的目的

• 1. Efficient Secure Data Provenance Scheme in Multimedia Outsourcing and Sharing [J] . Zhen Yang, Yongfeng Huang, Xing Li, 计算机、材料和连续体(英文) . 2018,第007期
• 2. An Improvement of Data Cleaning Method for Grain Big Data Processing Using Task Merging [J] . Feiyu Lian, Maixia Fu, Xingang Ju 电脑和通信（英文） . 2020,第003期
• 3. A data processing method for MAPR hydrothermal plume tur-bidity data and its application in the Precious Stone Mountain hydrothermal field [J] . CHEN Sheng, TAO Chunhui, LI Huaiming, 海洋学报（英文版） . 2014,第008期
• 4. Secure Outsourcing Algorithms for Composite Modular Exponentiation Based on Single Untrusted Cloud [J] . QIANQIAN SU, RUI ZHANG, RUI XUE The Computer journal . 2020,第8期
• 5. Secure outsourcing algorithms of modular exponentiations with optimal checkability based on a single untrusted cloud server [J] . Anmin Fu, Yiming Zhu, Guomin Yang, Cluster computing . 2018,第4期
• 6. Secure outsourcing of modular exponentiations under single untrusted programme model [J] . Yong Ding, Zheng Xu, Jun Ye, Journal of computer and system sciences . 2017,第deca期
• 7. Practical Data Outsourcing Framework with Provably Secure Deduplication in Untrusted Remote Storage [C] . Dongyoung Koo, Youngjoo Shin, Junbeom Hur International Conference on Platform Technology and Service . 2017
• 8. Securely Outsourcing Multiparty Computation to Untrusted Server [D] . Han, Junze. 2018
• 9. Two-Cloud-Servers-Assisted Secure Outsourcing Multiparty Computation [O] . Yi Sun, Qiaoyan Wen, Yudong Zhang, -1
• 10. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

• 1. CExp： secure and verifiable outsourcing of composite modular exponentiation with single untrusted server [J] . Shuai Li1 ,Longxia Huang12 ,Anmin Fu1 . 数字化用户：数字通讯 . 2017,第004期
• 2. Processing of Laser Scanner Data and Extraction of Structure Lines Using Methods of the Image Processing [J] . SUI Li-chun . 测绘学报 . 2004,第001期
• 3. 有条件开放临床医疗放射影像服务外包业务积极推进第三方医疗服务外包产业发展 [C] . 王文伟 . 2013中国（贵州）非公有制经济发展论坛 . 2013
• 4. 第三方物流企业外包结点选址方法研究 [A] . 刘丽燕 . 2011