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Wyniki wyszukiwania dla: INTERNET OF VEHICLES, SAFETY PROTECTION TECHNOLOGY, INTRUSION DETECTION SYSTEM,
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Wyniki wyszukiwania dla: INTERNET OF VEHICLES, SAFETY PROTECTION TECHNOLOGY, INTRUSION DETECTION SYSTEM,

  • Deep Learning-Based Intrusion System for Vehicular Ad Hoc Networks

    Publikacja

    - CMC-Computers Materials & Continua - Rok 2020

    The increasing use of the Internet with vehicles has made travel more convenient. However, hackers can attack intelligent vehicles through various technical loopholes, resulting in a range of security issues. Due to these security issues, the safety protection technology of the in-vehicle system has become a focus of research. Using the advanced autoencoder network and recurrent neural network in deep learning, we investigated...

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  • Multisensor System for the Protection of Critical Infrastructure of Seaport

    Publikacja
    • M. Kastek
    • R. Dulski
    • M. Życzkowski
    • M. Szustakowski
    • P. Trzaskawka
    • W. Ciurapiński
    • P. Markowski
    • M. Karol
    • G. Grelowska
    • I. Gloza... i 2 innych

    - Rok 2013

    There are many separated infrastructural objects within a harbor area that may be considered “critical”, such as gas and oil terminals or anchored naval vessels. Those objects require special protection, including security systems capable of monitoring both surface and underwater areas, because an intrusion into the protected area may be attempted using small surface vehicles (boats, kayaks, rafts, floating devices with weapons...

  • Rafał Leszczyna dr hab. inż.

    Osoby

    Katedra Informatyki w Zarządzaniu

    Dr hab. inż. Rafał Leszczyna jest profesorem uczelni na Wydziale Zarządzania i Ekonomii Politechniki Gdańskiej. W lipcu 2020 r., na podstawie osiągnięcia naukowego w obszarze zarządzania cyberbezpieczeństwem infrastruktur krytycznych w sektorze elektroenergetycznym, uzyskał stopień doktora habilitowanego w dziedzinie nauk inżynieryjno-technicznych, dyscyplina informatyka techniczna i telekomunikacja. W latach 2004–2008 pracował...

  • A survey of neural networks usage for intrusion detection systems

    Publikacja

    - Journal of Ambient Intelligence and Humanized Computing - Rok 2020

    In recent years, advancements in the field of the artificial intelligence (AI) gained a huge momentum due to the worldwide appliance of this technology by the industry. One of the crucial areas of AI are neural networks (NN), which enable commer‐ cial utilization of functionalities previously not accessible by usage of computers. Intrusion detection system (IDS) presents one of the domains in which neural networks are widely tested...

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  • RELIABILITY ENGINEERING & SYSTEM SAFETY

    Czasopisma

    ISSN: 0951-8320 , eISSN: 1879-0836

  • OOA-modified Bi-LSTM network: An effective intrusion detection framework for IoT systems

    Publikacja
    • S. S. Narayana Chintapalli
    • S. Prakash Singh
    • J. Frnda
    • B. P. Divakarachar
    • V. L. Sarraju
    • P. Falkowski-Gilski

    - Heliyon - Rok 2024

    Currently, the Internet of Things (IoT) generates a huge amount of traffic data in communication and information technology. The diversification and integration of IoT applications and terminals make IoT vulnerable to intrusion attacks. Therefore, it is necessary to develop an efficient Intrusion Detection System (IDS) that guarantees the reliability, integrity, and security of IoT systems. The detection of intrusion is considered...

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  • Safety assurance strategies for autonomous vehicles

    Publikacja

    - Rok 2008

    Assuring safety of autonomous vehicles requires that the vehicle control system can perceive the situation in the environment and react to actions of other entities. One approach to vehicle safety assurance is based on the assumption that hazardous sequences of events should be identified during hazard analysis and then some means of hazard avoidance and mitigation, like barriers, should be designed and implemented. Another approach...

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  • Safety & Fire Technology

    Czasopisma

    ISSN: 2657-8808 , eISSN: 2658-0810

  • Zdzisław Kowalczuk prof. dr hab. inż.

    Osoby

    Katedra Systemów Decyzyjnych i Robotyki

    W 1978 ukończył studia w zakresie automatyki i informatyki na Wydziale Elektroniki Politechniki Gdańskiej, następnie rozpoczął pracę na macierzystej uczelni. W 1986 obronił pracę doktorską, w 1993 habilitował się na Politechnice Śląskiej na podstawie pracy Dyskretne modele w projektowaniu układów sterowania. W 1996 mianowany profesorem nadzwyczajnym, w 2003 otrzymał tytuł profesora nauk technicznych. W 2006 założył i od tego czasu...

  • Toward Intelligent Vehicle Intrusion Detection Using the Neural Knowledge DNA

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2018

    In this paper, we propose a novel intrusion detection approach using past driving experience and the neural knowledge DNA for in-vehicle information system security. The neural knowledge DNA is a novel knowledge representation method designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing systems. We examine our approach for classifying malicious vehicle control commands...

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