Cybersecurity and Data Science

• Muut tekijät: Szczypiorski, Krzysztof (Toimittaja)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Aiheet: Information technology industries; 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
• Linkit: DOAB: download the publication; DOAB: description of the publication

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...