Wydawnictwa Uczelniane / TUL Press

Stały URI zbioruhttp://hdl.handle.net/11652/17

Przeglądaj

Filtry

2018 - 201912020 - 20231

Ustawienia

Autorsearch.filters.applied.operator.equals: search.filters.author.Lipiński, PiotrTematsearch.filters.applied.operator.equals: search.filters.subject.artificial intelligence

Wyniki wyszukiwania

Teraz wyświetlane 1 - 2 z 2
  • Pozycja
    Integrating Anomaly Detection for Enhanced Data Protection in Cloud-Based Applications
    (Wydawnictwo Politechniki Łódzkiej, 2023) Czerkas, Konrad; Drozd, Michał; Duraj, Agnieszka; Lichy, Krzysztof; Lipiński, Piotr; Morawski, Michał; Napieralski, Piotr; Puchała, Dariusz; Kwapisz, Marcin; Warcholiński, Adrian; Karbowańczyk, Michał; Wosiak, Piotr
    In this research, anomaly detection techniques and artificial neural networks were employed to address the issue of attacks on cluster computing systems. The study investigated the detection of Distributed Denial of Service (DDoS) and Partition attacks by monitoring metrics such as network latency, data transfer rate, and number of connections. Additionally, outlier detection algorithms, namely Local Outlier Factor (LOF) and COF, as well as ARIMA and SHESD models were tested for anomaly detection. Two types of neural network architectures, multi-layer perceptron (MLP) and recursive LSTM networks, were used to detect attacks by classifying events as “attack” or “no attack”. The study underscores the importance of implementing proactive security measures to protect cluster computing systems from cyber threats.
  • Pozycja
    The Use of Heuristic Algorithms: A Case Study of a Card Game
    (Wydawnictwo Politechniki Łódzkiej, 2018) Lichy, Krzysztof; Mazur, Marcin; Stolarek, Jan; Lipiński, Piotr
    In this paper we introduce the results of an experiment consisting in the creation of artificial intelligence using the heuristic algorithm Monte Carlo Tree Search and evaluation of its effectiveness in the card game Thousand.