Cybersecurity and Data Science
The reprint focuses on the latest research in cybersecurity and data science. Digital transformation turns data into the new oil, so the increasing availability of big data, structured and unstructured datasets, raises new challenges in cybersecurity, efficient data processing and knowledge extracti...
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| Format: | Online |
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| Language: | English |
| Published: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Subjects: | |
| Online Access: | ONIX_20230405_9783036569062_251 |
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| _version_ | 1869515432056061952 |
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| collection | Directory of Open Access Books |
| description | The reprint focuses on the latest research in cybersecurity and data science. Digital transformation turns data into the new oil, so the increasing availability of big data, structured and unstructured datasets, raises new challenges in cybersecurity, efficient data processing and knowledge extraction. The field of cybersecurity and data science fuels the data-driven economy. Innovations in this field require strong foundations in mathematics, statistics, machine learning and information security. The unprecedented increase in the availability of data in many fields of science and technology (e.g., genomic data, data from industrial environments, network traffic, streaming media, sensory data of smart cities, and social network data) ask for new methods and solutions for data processing, information extraction and decision support. This stimulates the development of new methods of data analysis, including those adapted to the analysis of new data structures and the growing volume of data. The papers included in this reprint discuss various topics ranging from cyberattacks, steganography, anomaly detection, evaluation of the attacker skills, modelling of the threats, and wireless security evaluation, as well as artificial intelligence, machine learning, and deep learning. Given this diversity of topics the book represents a valuable reference for researchers in cybersecurity security and data science. |
| format | Online |
| id | doab-20.500.12854ir-98972 |
| 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-989722024-03-30T12:51:01Z Cybersecurity and Data Science Szczypiorski, Krzysztof steganography network security steganography detection steganalysis machine learning big data IoT pattern mining wireless communications covert channel dirty constellation wireless postmodulation steganography phase drift drift correction modulation undetectability security quadrature amplitude modulation spam phishing classification augmented dataset multi-language emails cybersecurity data protection SoC threat agents motivation opportunity capability user profiling implicit modeling real-time user monitoring complexity threat agent threat assessment network traffic analysis convolutional neural networks network traffic images visualization of traffic classifiers e-mail ham data science datasets cyber threats modeling multi-agent systems cyber deception pseudorandom sequences generators prime numbers additive Fibonacci generator statistical characteristics android device BrainShield hybrid model malware detection Omnidroid image processing BOSS database ensemble classifier deep learning stegomalware traffic analysis network probe hash function SHA-3 FPGA cognitive security cyberattacks game software threat matrix computing evaluation function data modeling authentication bit template information-processing electronic device Poisson pulse sequences generators n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries The reprint focuses on the latest research in cybersecurity and data science. Digital transformation turns data into the new oil, so the increasing availability of big data, structured and unstructured datasets, raises new challenges in cybersecurity, efficient data processing and knowledge extraction. The field of cybersecurity and data science fuels the data-driven economy. Innovations in this field require strong foundations in mathematics, statistics, machine learning and information security. The unprecedented increase in the availability of data in many fields of science and technology (e.g., genomic data, data from industrial environments, network traffic, streaming media, sensory data of smart cities, and social network data) ask for new methods and solutions for data processing, information extraction and decision support. This stimulates the development of new methods of data analysis, including those adapted to the analysis of new data structures and the growing volume of data. The papers included in this reprint discuss various topics ranging from cyberattacks, steganography, anomaly detection, evaluation of the attacker skills, modelling of the threats, and wireless security evaluation, as well as artificial intelligence, machine learning, and deep learning. Given this diversity of topics the book represents a valuable reference for researchers in cybersecurity security and data science. 2023-04-05T13:02:06Z 2023-04-05T13:02:06Z 2023 book ONIX_20230405_9783036569062_251 9783036569062 9783036569079 https://directory.doabooks.org/handle/20.500.12854/98972 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/7034 https://mdpi.com/books/pdfview/book/7034 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-6907-9 10.3390/books978-3-0365-6907-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036569062 9783036569079 320 Basel open access |
| spellingShingle | steganography network security steganography detection steganalysis machine learning big data IoT pattern mining wireless communications covert channel dirty constellation wireless postmodulation steganography phase drift drift correction modulation undetectability security quadrature amplitude modulation spam phishing classification augmented dataset multi-language emails cybersecurity data protection SoC threat agents motivation opportunity capability user profiling implicit modeling real-time user monitoring complexity threat agent threat assessment network traffic analysis convolutional neural networks network traffic images visualization of traffic classifiers ham data science datasets cyber threats modeling multi-agent systems cyber deception pseudorandom sequences generators prime numbers additive Fibonacci generator statistical characteristics android device BrainShield hybrid model malware detection Omnidroid image processing BOSS database ensemble classifier deep learning stegomalware traffic analysis network probe hash function SHA-3 FPGA cognitive security cyberattacks game software threat matrix computing evaluation function data modeling authentication bit template information-processing electronic device Poisson pulse sequences generators n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Cybersecurity and Data Science |
| title | Cybersecurity and Data Science |
| title_full | Cybersecurity and Data Science |
| title_fullStr | Cybersecurity and Data Science |
| title_full_unstemmed | Cybersecurity and Data Science |
| title_short | Cybersecurity and Data Science |
| title_sort | cybersecurity and data science |
| topic | steganography network security steganography detection steganalysis machine learning big data IoT pattern mining wireless communications covert channel dirty constellation wireless postmodulation steganography phase drift drift correction modulation undetectability security quadrature amplitude modulation spam phishing classification augmented dataset multi-language emails cybersecurity data protection SoC threat agents motivation opportunity capability user profiling implicit modeling real-time user monitoring complexity threat agent threat assessment network traffic analysis convolutional neural networks network traffic images visualization of traffic classifiers ham data science datasets cyber threats modeling multi-agent systems cyber deception pseudorandom sequences generators prime numbers additive Fibonacci generator statistical characteristics android device BrainShield hybrid model malware detection Omnidroid image processing BOSS database ensemble classifier deep learning stegomalware traffic analysis network probe hash function SHA-3 FPGA cognitive security cyberattacks game software threat matrix computing evaluation function data modeling authentication bit template information-processing electronic device Poisson pulse sequences generators n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | steganography network security steganography detection steganalysis machine learning big data IoT pattern mining wireless communications covert channel dirty constellation wireless postmodulation steganography phase drift drift correction modulation undetectability security quadrature amplitude modulation spam phishing classification augmented dataset multi-language emails cybersecurity data protection SoC threat agents motivation opportunity capability user profiling implicit modeling real-time user monitoring complexity threat agent threat assessment network traffic analysis convolutional neural networks network traffic images visualization of traffic classifiers ham data science datasets cyber threats modeling multi-agent systems cyber deception pseudorandom sequences generators prime numbers additive Fibonacci generator statistical characteristics android device BrainShield hybrid model malware detection Omnidroid image processing BOSS database ensemble classifier deep learning stegomalware traffic analysis network probe hash function SHA-3 FPGA cognitive security cyberattacks game software threat matrix computing evaluation function data modeling authentication bit template information-processing electronic device Poisson pulse sequences generators n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20230405_9783036569062_251 |