Artificial Intelligence Machine Learning Technology Is A Double-Edged Sword

DOI

10.2991/978-94-6463-108-1_4How to use a DOI?

Keywords

artificial intelligence; machine learning; collateral effects

Abstract

While artificial intelligence and machine learning greatly improve cyber security, their limitations lead to the possibility that they can have both positive and negative, even unpredictable ,concomitant effects on cyber security, i.e. they simultaneously present opportunities for attackers to also evolve their attack techniques, leading to systems that are more vulnerable to attack and can also adaptively generate attack programs. These concomitant effects make the network attacks more and more frequent, more intelligent, confrontation and game more and more intense, need to develop a more effective, more strategic, more systematic response and prevention strategies.

Copyright

© 2022 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ying Wu
PY  - 2022
DA  - 2022/12/30
TI  - Artificial Intelligence Machine Learning Technology Is A Double-Edged Sword
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 24
EP  - 32
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_4
DO  - 10.2991/978-94-6463-108-1_4
ID  - Wu2022
ER  -