Research on Data Security Protection Method Based on Improved K-means Clustering Algorithm

2020 ◽  
Author(s):  
Jinghui Cai ◽  
Dashun Liao ◽  
Jianqiu Chen ◽  
Xue Chen ◽  
Tingting Liu ◽  
...  
Keyword(s):  
Data Security ◽  
Clustering Algorithm ◽  
Protection Method

An improved anonymity model for big data security based on clustering algorithm

2016 ◽  
Vol 29 (7) ◽  
pp. e3902 ◽  
Author(s):  
Chunyong Yin ◽  
Sun Zhang ◽  
Jinwen Xi ◽  
Jin Wang
Keyword(s):  
Big Data ◽  
Data Security ◽  
Clustering Algorithm

scholarly journals Hardware-Enhanced Protection for the Runtime Data Security in Embedded Systems

Electronics ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 52 ◽  
Author(s):  
Weike Wang ◽  
Xiaobing Zhang ◽  
Qiang Hao ◽  
Zhun Zhang ◽  
Bin Xu ◽  
...  
Keyword(s):  
Embedded Systems ◽  
Power Consumption ◽  
Data Security ◽  
Memory Access ◽  
Low Power Consumption ◽  
Replay Attack ◽  
Protection Method ◽  
Xor Operation ◽  
Hardware Overhead ◽  
Integrity Protection

At present, the embedded systems are facing various kinds of attacks, especially for the data stored in the external memories. This paper presents a hardware-enhanced protection method to protect the data integrity and confidentiality at runtime, preventing the data from spoofing attack, splicing attack, replay attack, and some malicious analysis. For the integrity protection, the signature is calculated by the hardware implemented Lhash engine before the data sending off the chip, and the signature of the data block is recalculated and compared with the decrypted one at the load time. For the confidentiality protection, an AES encryption engine is used to generate the key stream, the plain data and the cipher data can translate through a simple XOR operation. The hardware cryptographic engines are optimized to work simultaneously with the memory access operation, which reduces the hardware overhead and the performance overhead. We implement the proposed architecture within OR1200 processor on Xilinx Virtex 5 FPGA platform. The experiment results show that the proposed hardware-enhanced protection method can preserve the integrity and confidentiality of the runtime data in the embedded systems with low power consumption and a marginal area footprint. The performance overhead is less than 2.27% according to the selected benchmarks.

scholarly journals Lightweight Data Security Protection Method for AMI in Power Internet of Things

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Wenqian Jiang ◽  
Zhou Yang ◽  
Zhenglei Zhou ◽  
Jueyu Chen
Keyword(s):  
Internet Of Things ◽  
Data Aggregation ◽  
Data Security ◽  
Loss Rate ◽  
Homomorphic Encryption ◽  
Data Encryption ◽  
Smart Meters ◽  
Protection Method ◽  
New Business ◽  
Advanced Metering

Aiming at the security problems caused by the access of a large number of new advanced metering system (AMI) equipment and the rapid growth of new business data interaction volume and interaction frequency, a lightweight data security protection method for power Internet of things (IoT) is proposed. Firstly, based on the “cloud-edge-end” AMI system architecture, a multilevel anonymous authentication method is proposed to reduce the complexity of low-end equipment access without reauthentication when smart meters and other devices access the system. Then, when fully homomorphic encryption is used for data encryption transmission, the lightweight packet recombination protocol is introduced, the lightweight hash function is used to reduce the calculation cost, and the sliding address window mechanism is used to reduce the packet loss rate. Finally, improved secure multiparty computing (SMPC) is used to achieve frequency hopping data aggregation, using shared key to calculate local shared value for key update, reducing data interaction between massive devices and AMI cloud security server, and improving broadband utilization in data aggregation process. The experiment results indicate that the proposed method obtained better utilization in bandwidth and shorter average data collection completion time. Besides, the proposed method can ensure the information security in the interaction process.

HITECH Will Tighten Data Security Rules in 2010

2009 ◽  
Vol 42 (21) ◽  
pp. 1-2
Author(s):  
ERIK L. GOLDMAN
Keyword(s):  
Data Security

Health Informatics: Handle with Caution

1997 ◽  
Vol 36 (02) ◽  
pp. 79-81
Author(s):  
V. Leroy ◽  
S. Maurice-Tison ◽  
B. Le Blanc ◽  
R. Salamon
Keyword(s):  
Health Care ◽  
Data Management ◽  
Medical Informatics ◽  
Health Care Professionals ◽  
Data Security ◽  
Health Informatics ◽  
The Other ◽  
Inappropriate Use

Abstract:The increased use of computers is a response to the considerable growth in information in all fields of activities. Related to this, in the field of medicine a new component appeared about 40 years ago: Medical Informatics. Its goals are to assist health care professionals in the choice of data to manage and in the choice of applications of such data. These possibilities for data management must be well understood and, related to this, two major dangers must be emphasized. One concerns data security, and the other concerns the processing of these data. This paper discusses these items and warns of the inappropriate use of medical informatics.

Data Security in Health Information Systems by Applying Software Techniques

1979 ◽  
Vol 18 (04) ◽  
pp. 214-222
Author(s):  
K. Sauter
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Data Security ◽  
Health Information Systems ◽  
Database Systems ◽  
Modern Computer ◽  
Proper Design ◽  
Software Construction ◽  
Organizational Procedures ◽  
Software Measures

The problems encountered in achieving data security within computer-supported information systems increased with the development of modern computer systems. The threats are manifold and have to be met by an appropriate set of hardware precautions, organizational procedures and software measures which are the topic of this paper. Design principles and software construction rules are treated first, since the security power of a system is considerably determined by its proper design. A number of software techniques presented may support security mechanisms ranging from user identification and authentication to access control, auditing and threat monitoring. Encryption is a powerful tool for protecting data during physical storage and transmission as well.Since an increasing number of health information systems with information-integrating functions are database-supported, the main issues and terms of database systems and their specific security aspects are summarized in the appendix.

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