Advanced Cybersecurity Services Design
This Special Issue includes 14 contributions, with 2 review contributions and 12 research contributions. The review contributions provide a survey with an overview of the state of the art in detecting and projecting cyber-attack scenarios, and the review of a specific application area, the safety of...
محفوظ في:
| التنسيق: | Online |
|---|---|
| اللغة: | الإنجليزية |
| منشور في: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | ONIX_20231130_9783036592404_145 |
| الوسوم: |
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1869515335733870592 |
|---|---|
| collection | Directory of Open Access Books |
| description | This Special Issue includes 14 contributions, with 2 review contributions and 12 research contributions. The review contributions provide a survey with an overview of the state of the art in detecting and projecting cyber-attack scenarios, and the review of a specific application area, the safety of autonomous haulage systems in the mining environment related to both cybersecurity and communication. 10 research contributions are addressing the area of advanced services for intrusion detection systems: (a) the use of different machine learning models depending on the specific scenarios and datasets; (b) the use of deep learning techniques for the detection of zero-day attacks; (c) a proposal of an integrated scalable framework aimed at efficiently detecting anomalous events on large amounts of unlabeled data logs; (d) a spatiotemporal characterization of cyber-attacks for detecting such attacks; (e) a two-stage intrusion detection system for industrial control networks; (f) a chatbot for detecting online sex offenders, based on an artificial conversational entity (ACE); and (g) an open-source platform for manipulating both streaming and archived network flow data in real time. This Special Issue also contains two protection-related research contributions, including: (a) a countermeasure for on–off web defacement attacks and (b) the evaluation of multi-path routing as a protection feature against network attacks and failures. |
| format | Online |
| id | doab-20.500.12854ir-128693 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1286932024-03-30T12:51:22Z Advanced Cybersecurity Services Design Villagrá, Víctor cybersecurity machine learning intrusion detection cybersecurity awareness  thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science This Special Issue includes 14 contributions, with 2 review contributions and 12 research contributions. The review contributions provide a survey with an overview of the state of the art in detecting and projecting cyber-attack scenarios, and the review of a specific application area, the safety of autonomous haulage systems in the mining environment related to both cybersecurity and communication. 10 research contributions are addressing the area of advanced services for intrusion detection systems: (a) the use of different machine learning models depending on the specific scenarios and datasets; (b) the use of deep learning techniques for the detection of zero-day attacks; (c) a proposal of an integrated scalable framework aimed at efficiently detecting anomalous events on large amounts of unlabeled data logs; (d) a spatiotemporal characterization of cyber-attacks for detecting such attacks; (e) a two-stage intrusion detection system for industrial control networks; (f) a chatbot for detecting online sex offenders, based on an artificial conversational entity (ACE); and (g) an open-source platform for manipulating both streaming and archived network flow data in real time. This Special Issue also contains two protection-related research contributions, including: (a) a countermeasure for on–off web defacement attacks and (b) the evaluation of multi-path routing as a protection feature against network attacks and failures. 2023-11-30T20:44:06Z 2023-11-30T20:44:06Z 2023 book ONIX_20231130_9783036592404_145 9783036592404 9783036592411 https://directory.doabooks.org/handle/20.500.12854/128693 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/8157 https://mdpi.com/books/pdfview/book/8157 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-9241-1 10.3390/books978-3-0365-9241-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036592404 9783036592411 286 Basel open access |
| spellingShingle | cybersecurity machine learning intrusion detection cybersecurity awareness  thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science Advanced Cybersecurity Services Design |
| title | Advanced Cybersecurity Services Design |
| title_full | Advanced Cybersecurity Services Design |
| title_fullStr | Advanced Cybersecurity Services Design |
| title_full_unstemmed | Advanced Cybersecurity Services Design |
| title_short | Advanced Cybersecurity Services Design |
| title_sort | advanced cybersecurity services design |
| topic | cybersecurity machine learning intrusion detection cybersecurity awareness  thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science |
| topic_facet | cybersecurity machine learning intrusion detection cybersecurity awareness  thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science |
| url | ONIX_20231130_9783036592404_145 |