From Data to Knowledge Engineering for Cybersecurity

被引：0

作者：

Simari, Gerardo, I ^{[1
,2
,3
]}

机构：

[1] Univ Nacl Sur UNS, Dept Comp Sci & Engn, Bahia Blanca, Buenos Aires, Argentina

[2] UNS, Inst Comp Sci & Engn, CONICET, Bahia Blanca, Buenos Aires, Argentina

[3] Arizona State Univ, Tempe, AZ 85281 USA

来源：

PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE | 2019年

基金：

欧盟地平线“2020”;

关键词：

LOGIC;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Data present in a wide array of platforms that are part of today's information systems lies at the foundation of many decision making processes, as we have now come to depend on social media, videos, news, forums, chats, ads, maps, and many other data sources for our daily lives. In this article, we first discuss how such data sources are involved in threats to systems' integrity, and then how they can be leveraged along with knowledge-based tools to tackle a set of challenges in the cybersecurity domain Finally, we present a brief discussion of our roadmap for research and development in the near future to address the set of ever-evolving cyber threats that our systems face every day.

引用

页码：6403 / 6407

页数：5

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