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    Wyświetlanie 1-4 z 4
    Tytuł:
    Nordic Countries in the Face of Digital Threats
    Autorzy:
    Kaczmarek, Krzysztof
    Powiązania:
    https://bibliotekanauki.pl/articles/31342009.pdf
    Data publikacji:
    2024-05-09
    Wydawca:
    Akademia Sztuki Wojennej
    Tematy:
    Nordic cooperation
    cyber threats
    digital skills
    DDoS (Distributed Denial of Service)
    Opis:
    Technological advances and the digital revolution have caused much of social activity to move online. The Internet has become a tool without which it is difficult to imagine the functioning of modern states. However, it is also some of conflicts between states that have moved online, and states with the highest degree of digitization, which include the Nordic states, have become a target of attacks by other states or organizations. In this article, the Author will attempt to answer the question of how the Nordic states and their societies defend themselves against cyber threats. The characteristics of the attacks carried out against them and the levels of digitization of the societies will also be compared.
    Źródło:
    Cybersecurity and Law; 2024, 11, 1; 151-161
    2658-1493
    Pojawia się w:
    Cybersecurity and Law
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Detection of distributed denial of service attacks for IoT-based healthcare systems
    Autorzy:
    Kaur, Gaganjot
    Gupta, Prinima
    Powiązania:
    https://bibliotekanauki.pl/articles/38701793.pdf
    Data publikacji:
    2023
    Wydawca:
    Instytut Podstawowych Problemów Techniki PAN
    Tematy:
    software defined networking
    k-nearest neighbors
    distributed denial of service
    DPTCM-KNN approach
    SVM
    sieci definiowane programowo
    k-najbliższy sąsiad
    rozproszona odmowa usługi
    Opis:
    One of the major common assaults in the current Internet of things (IoT) network-based healthcare infrastructures is distributed denial of service (DDoS). The most challenging task in the current environment is to manage the creation of vast multimedia data from the IoT devices, which is difficult to be handled solely through the cloud. As the software defined networking (SDN) is still in its early stages, sampling-oriented measurement techniques used today in the IoT network produce low accuracy, increased memory usage, low attack detection, higher processing and network overheads. The aim of this research is to improve attack detection accuracy by using the DPTCM-KNN approach. The DPTCMKNN technique outperforms support vector machine (SVM), yet it still has to be improved. For healthcare systems, this work develops a unique approach for detecting DDoS assaults on SDN using DPTCM-KNN.
    Źródło:
    Computer Assisted Methods in Engineering and Science; 2023, 30, 2; 167-186
    2299-3649
    Pojawia się w:
    Computer Assisted Methods in Engineering and Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An Efficient Hybrid Protocol Framework for DDoS Attack Detection and Mitigation Using Evolutionary Technique
    Autorzy:
    Yerriswamy, T.
    Gururaj, Murtugudde
    Powiązania:
    https://bibliotekanauki.pl/articles/2176173.pdf
    Data publikacji:
    2022
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    deep entropy based scheme
    denial of service
    distributed denial of service
    flash crowd
    high-rate DDoS
    inner service trackback
    outer advanced blocking
    Opis:
    The ever-increasing use of the Internet has created massive amounts network traffic, causing problems related to its scalability, controllability, and manageability. Sophisticated network-based denial of service (DoS) and distributed denial of service (DDoS) attacks increasingly pose a future threat. The literature proposes various methods that may help stop all HTTP DoS/DDoS assaults, but no optimal solution has been identified so far. Therefore, this paper attempts to fill the gap by proposing an alternative solution known as an efficient hybrid protocol framework for distributed DoS attack detection and mitigation (E-HPFDDM). Such an architecture addresses all aspects of these assaults by relaying on a three-layer mechanism. Layer 1 uses the outer advanced blocking (OAB) scheme which blocks unauthorized IP sources using an advanced backlisted table. Layer 2 is a validation layer that relies on the inner service trackback (IST) scheme to help determine whether the inbound request has been initiated by a legitimate or an illegitimate user. Layer 3 (inner layer) uses the deep entropy based (DEB) scheme to identify, classify and mitigate high-rate DDoS (HR-DDoS) and flash crowd (FC) attacks. The research shows that in contrast to earlier studies, the structure of the proposed system offers effective defense against DoS/DDoS assaults for web applications.
    Źródło:
    Journal of Telecommunications and Information Technology; 2022, 4; 77--82
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On Implementation of Efficient Inline DDoS Detector Based on AATAC Algorithm
    Autorzy:
    Wiśniewski, Piotr
    Sosnowski, Maciej
    Burakowski, Wojciech
    Powiązania:
    https://bibliotekanauki.pl/articles/2200718.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    DDoS
    Distributed Denial of Service
    traffic anomaly detection
    AATAC
    performance
    DPDK
    Opis:
    Distributed Denial of Service (DDoS) attacks constitute a major threat in the current Internet. These cyber-attacks aim to flood the target system with tailored malicious network traffic overwhelming its service capacity and consequently severely limiting legitimate users from using the service. This paper builds on the state-of-the-art AATAC algorithm (Autonomous Algorithm for Traffic Anomaly Detection) and provides a concept of a dedicated inline DDoS detector capable of real-time monitoring of network traffic and near-real-time anomaly detection. The inline DDoS detector consists of two main elements: 1) inline probe(s) responsible for link-rate real-time processing and monitoring of network traffic with custom-built packet feature counters, and 2) an analyser that performs the near-real-time statistical analysis of these counters for anomaly detection. These elements communicate asynchronously via the Redis database, facilitating a wide range of deployment scenarios. The inline probes are based on COTS servers and utilise the DPDK framework (Data Plane Development Kit) and parallel packet processing on multiple CPU cores to achieve link rate traffic analysis, including tailored DPI analysis.
    Źródło:
    International Journal of Electronics and Telecommunications; 2022, 68, 4; 889--898
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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