Big Data, Cybersecurity, and Challenges in Healthcare

被引：5

作者：

Wang, Lidong ^{[1
]}

Jones, Randy ^{[1
]}

机构：

[1] Mississippi State Univ, Inst Syst Engn Res, Vicksburg, MS 39180 USA

来源：

2019 IEEE SOUTHEASTCON | 2019年

关键词：

big data; cybersecurity; deep learning; machine learning; artificial intelligence; blockchain; healthcare; sensor networks; IoT; ARTIFICIAL-INTELLIGENCE; PRIVACY; BLOCKCHAIN; ANALYTICS;

D O I：

10.1109/southeastcon42311.2019.9020632

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Today, Big Data analytics is used in multiple areas. We introduce the characteristics of big data, visualization tools of big data, chief prospects of utilizing big data in healthcare, advantages of Big Data analytics in healthcare, and progresses of healthcare Big Data technology in this paper. Blockchain and privacy have also gained momentum in the healthcare sector, so privacy issues and blockchain-based cybersecurity are also examined closely. Healthcare is rapidly changing, and technology will have to change with the needs expressed by providers. With the push towards personalized medicine, Big Data should see much success in healthcare, however, there are many challenges of healthcare Big Data and cybersecurity that also need to be discussed.

引用

页数：6

共 37 条

[1] Big data security and privacy in healthcare: A Review [J].

Abouelmehdi, Karim ;

Beni-Hssane, Abderrahim ;

Khaloufi, Hayat ;

Saadi, Mostafa .

8TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS (EUSPN 2017) / 7TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE (ICTH-2017) / AFFILIATED WORKSHOPS, 2017, 113 :73-80

[2] Recent Advances and Challenges in Mobile Big Data [J].

Ahmed, Ejaz ;

Yaqoob, Ibrar ;

Hashem, Ibrahim Abaker Targio ;

Shuja, Junaid ;

Imran, Muhammad ;

Guizani, Nadra ;

Bakhsh, Sheikh Tahir .

IEEE COMMUNICATIONS MAGAZINE, 2018, 56 (02) :102-108

[3]

Alexandru Adriana Gabriela, 2018, Informatica Economica, V22, P43, DOI 10.12948/issn14531305/22.2.2018.05

[4] Using big data analytics to extract disease surveillance information from point of care diagnostic machines [J].

Amirian, Pouria ;

van Loggerenberg, Francois ;

Lang, Trudie ;

Thomas, Arthur ;

Peeling, Rosanna ;

Basiri, Anahid ;

Goodman, Steven N. .

PERVASIVE AND MOBILE COMPUTING, 2017, 42 :470-486

[5] Big Data for Health [J].

Andreu-Perez, Javier ;

Poon, Carmen C. Y. ;

Merrifield, Robert D. ;

Wong, Stephen T. C. ;

Yang, Guang-Zhong .

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2015, 19 (04) :1193-1208

[6]

Angeletti F, 2017, INT CONF SOFTW, P427

[7] Big Data Analytics in Healthcare [J].

Belle, Ashwin ;

Thiagarajan, Raghuram ;

Soroushmehr, S. M. Reza ;

Navidi, Fatemeh ;

Beard, Daniel A. ;

Najarian, Kayvan .

BIOMED RESEARCH INTERNATIONAL, 2015, 2015

[8] Big data in sleep medicine: prospects and pitfalls in phenotyping [J].

Bianchi, Matt T. ;

Russo, Kathryn ;

Gabbidon, Harriett ;

Smith, Tiaundra ;

Goparaju, Balaji ;

Westover, M. Brandon .

NATURE AND SCIENCE OF SLEEP, 2017, 9 :11-29

[9] Disease Prediction by Machine Learning Over Big Data From Healthcare Communities [J].

Chen, Min ;

Hao, Yixue ;

Hwang, Kai ;

Wang, Lu ;

Wang, Lin .

IEEE ACCESS, 2017, 5 :8869-8879

[10] Smart Clothing: Connecting Human with Clouds and Big Data for Sustainable Health Monitoring [J].

Chen, Min ;

Ma, Yujun ;

Song, Jeungeun ;

Lai, Chin-Feng ;

Hu, Bin .

MOBILE NETWORKS & APPLICATIONS, 2016, 21 (05) :825-845

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