Symmetry-Adapted Machine Learning for Information Security
Symmetry-adapted machine learning has shown encouraging ability to mitigate the security risks in information and communication technology (ICT) systems. It is a subset of artificial intelligence (AI) that relies on the principles of processing future events by learning past events or historical dat...
में बचाया:
| स्वरूप: | Online |
|---|---|
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| विषय: | |
| ऑनलाइन पहुंच: | ONIX_20210501_9783039366422_604 |
| टैग: |
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
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| _version_ | 1869520419886727168 |
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| collection | Directory of Open Access Books |
| description | Symmetry-adapted machine learning has shown encouraging ability to mitigate the security risks in information and communication technology (ICT) systems. It is a subset of artificial intelligence (AI) that relies on the principles of processing future events by learning past events or historical data. The autonomous nature of symmetry-adapted machine learning supports effective data processing and analysis for security detection in ICT systems without the interference of human authorities. Many industries are developing machine-learning-adapted solutions to support security for smart hardware, distributed computing, and the cloud. In our Special Issue book, we focus on the deployment of symmetry-adapted machine learning for information security in various application areas. This security approach can support effective methods to handle the dynamic nature of security attacks by extraction and analysis of data to identify hidden patterns of data. The main topics of this Issue include malware classification, an intrusion detection system, image watermarking, color image watermarking, battlefield target aggregation behavior recognition model, IP camera, Internet of Things (IoT) security, service function chain, indoor positioning system, and crypto-analysis. |
| format | Online |
| id | doab-20.500.12854ir-68858 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-688582024-04-11T15:10:13Z Symmetry-Adapted Machine Learning for Information Security Park, James thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Symmetry-adapted machine learning has shown encouraging ability to mitigate the security risks in information and communication technology (ICT) systems. It is a subset of artificial intelligence (AI) that relies on the principles of processing future events by learning past events or historical data. The autonomous nature of symmetry-adapted machine learning supports effective data processing and analysis for security detection in ICT systems without the interference of human authorities. Many industries are developing machine-learning-adapted solutions to support security for smart hardware, distributed computing, and the cloud. In our Special Issue book, we focus on the deployment of symmetry-adapted machine learning for information security in various application areas. This security approach can support effective methods to handle the dynamic nature of security attacks by extraction and analysis of data to identify hidden patterns of data. The main topics of this Issue include malware classification, an intrusion detection system, image watermarking, color image watermarking, battlefield target aggregation behavior recognition model, IP camera, Internet of Things (IoT) security, service function chain, indoor positioning system, and crypto-analysis. 2021-05-01T15:31:28Z 2021-05-01T15:31:28Z 2020 book ONIX_20210501_9783039366422_604 9783039366422 9783039366439 https://directory.doabooks.org/handle/20.500.12854/68858 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/2625 https://mdpi.com/books/pdfview/book/2625 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03936-643-9 10.3390/books978-3-03936-643-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039366422 9783039366439 202 Basel, Switzerland open access |
| spellingShingle | thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Symmetry-Adapted Machine Learning for Information Security |
| title | Symmetry-Adapted Machine Learning for Information Security |
| title_full | Symmetry-Adapted Machine Learning for Information Security |
| title_fullStr | Symmetry-Adapted Machine Learning for Information Security |
| title_full_unstemmed | Symmetry-Adapted Machine Learning for Information Security |
| title_short | Symmetry-Adapted Machine Learning for Information Security |
| title_sort | symmetry adapted machine learning for information security |
| topic | thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20210501_9783039366422_604 |