JCHCI 2022
DOI: 10.54216/jchci.020202
|View full text |Cite
|
Sign up to set email alerts
|

A Survey on Cyber Security Meets Artificial Intelligence: AI– Driven Cyber Security

Abstract: The computerized version of human intelligence is Artificial Intelligence(AI). Artificial Intelligence systems combine large sets of data with intelligent and iterative processing algorithms in order to make predictions, based on patterns and features in the data that they analyse. With the booming technologies such as IOT and Cloud Computing, huge amounts of data are generated and collected that require cyber security protection today. There is a growing need for cyber security methods which are both robust a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
4
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
4
3

Relationship

0
7

Authors

Journals

citations
Cited by 11 publications
(5 citation statements)
references
References 0 publications
0
4
0
Order By: Relevance
“…In order to efectively and accurately classify the transient power quality interference, one of the main challenges is to develop a classifer that can accurately describe the relationship between the interference characteristics and interference types. Te power quality disturbance signal itself is nonlinear and nonuniform, so artifcial intelligence technologies such as fuzzy logic are widely used in the development of disturbance classifers to fexibly describe the natural relationship between complex nonlinearity and disturbance types in power quality disturbances [20,21]. However, fuzzy logic is a simulation of the human fuzzy thinking process, and it is difcult to generalize and learn the knowledge of fuzzy logic, so the process of parameter estimation of a fuzzy classifer is very complex; it is not easy to achieve optimal results.…”
Section: Evaluation Algorithm For Testing Quality Of Noncontact Instr...mentioning
confidence: 99%
“…In order to efectively and accurately classify the transient power quality interference, one of the main challenges is to develop a classifer that can accurately describe the relationship between the interference characteristics and interference types. Te power quality disturbance signal itself is nonlinear and nonuniform, so artifcial intelligence technologies such as fuzzy logic are widely used in the development of disturbance classifers to fexibly describe the natural relationship between complex nonlinearity and disturbance types in power quality disturbances [20,21]. However, fuzzy logic is a simulation of the human fuzzy thinking process, and it is difcult to generalize and learn the knowledge of fuzzy logic, so the process of parameter estimation of a fuzzy classifer is very complex; it is not easy to achieve optimal results.…”
Section: Evaluation Algorithm For Testing Quality Of Noncontact Instr...mentioning
confidence: 99%
“…One of the main contradictions in the field of physical education is the contradiction between the diversity of physical education ideas and teaching objectives and the unity of physical education models [17]. e integration of artificial intelligence technology into physical education is the focus and difficulty of physical education, gradually transforming from abstract and vague concepts into concrete steps and transforming the indescribable macroscopic system into microscopic descriptions.…”
Section: Physical Educationmentioning
confidence: 99%
“…e relationship between humans and machines is always evolving, and our interactions with machines have a long history. Historically, technology developed by humans has been a means to an end, and we have always thought of machines merely as tools used to perform desired actions [15].…”
Section: Human-machine Relationshipmentioning
confidence: 99%