IoT based home monitoring system with secure data storage by Keccak–Chaotic sequence in cloud server

Author(s):  
S. Ravikumar ◽  
D. Kavitha
Author(s):  
Vivek Vullikanti ◽  
Komarasamy G

Cloud computing is emerging computing model where the data owners are outsourcing their data into the cloud storage. By outsourcing the data files into the cloud, it gives many benefits to the large enterprises as well as individual users for accessing database security. In data base Storage management systems to cloud it still faces a number of fundamental and critical challenges, among which storage space and security is the top concern. We consider the problem of processing range query search over a confidential numeric attribute K in an outsourced setting of cloud computing. To ensure the correctness of user and user's data in the cloud, we propose a multilevel round random key policy third party authentication system in crypto policy standard. In addition to simplified data storage and secure data acquisition. Also, we consider processing range query search over a confidential numeric attribute with two main challenges. First, the confidentiality requires hiding the value and the relative order of the attribute in records from the cloud server. Finally, we will perform security and performance analysis which shows that the proposed scheme is highly efficient for maintaining secure data storage and acquisition.


Author(s):  
Jia Hua-Ping ◽  
Zhao Jun-Long ◽  
Liu Jun

Cardiovascular disease is one of the major diseases that threaten the human health. But the existing electrocardiograph (ECG) monitoring system has many limitations in practical application. In order to monitor ECG in real time, a portable ECG monitoring system based on the Android platform is developed to meet the needs of the public. The system uses BMD101 ECG chip to collect and process ECG signals in the Android system, where data storage and waveform display of ECG data can be realized. The Bluetooth HC-07 module is used for ECG data transmission. The abnormal ECG can be judged by P wave, QRS bandwidth, and RR interval. If abnormal ECG is found, an early warning mechanism will be activated to locate the user’s location in real time and send preset short messages, so that the user can get timely treatment, avoiding dangerous occurrence. The monitoring system is convenient and portable, which brings great convenie to the life of ordinary cardiovascular users.


2018 ◽  
Vol 5 (2) ◽  
pp. 1 ◽  
Author(s):  
SHAFI'I MUHAMMAD ABDULHAMID ◽  
NAFISAT ABUBAKAR SADIQ ◽  
ABDULLAHI MOHAMMED ◽  
NADIM RANA ◽  
HARUNA CHIROMA ◽  
...  

2007 ◽  
Vol 46 (6B) ◽  
pp. 3858-3861 ◽  
Author(s):  
Masatoshi Bunsen ◽  
Hirosuke Furuta ◽  
Atsushi Okamoto
Keyword(s):  

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