Książki, monografie, podręczniki, rozdziały (WFTIiMS)

Stały URI dla kolekcjihttp://hdl.handle.net/11652/173

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  • 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
    Postgraduate studies in the Institute of Information Technology of the Lodz University of Technology
    (Wydawnictwo Politechniki Łódzkiej, 2021) Krasiukianis, Roman; Smoliński, Mateusz; Kwapisz, Marcin; Karbowańczyk, Michał
    The article presents the assumptions, development path and key achievements of postgraduate studies at the Faculty of Technical Physics, Information Technology and Applied Mathematics of the Lodz University of Technology. The emphasis was placed on the role of cooperation with IT companies in developing postgraduate study programs related to the needs of the Lodz region as well as methods for assessing the quality of the learning process. In addition, problems related to changes in the labor market, as well as risks and opportunities resulting from the need to conduct classes differently during the COVID-19 pandemic, are discussed.
  • Pozycja
    Educational infrastructures for IT teaching
    (Wydawnictwo Politechniki Łódzkiej, 2021) Kwapisz, Marcin; Karbowańczyk, Michał
    The basic problem of teaching information technologies is a proper infrastructure for classes and courses. This especially applies to remote and e-learning, when a student does not have access to “physical” laboratories. Technologies based on virtualization and containerization can help a lot to deliver the infrastructure. Unfortunately it requires a significant amount of administrative work, because many tasks simply have to be done manually. This article explains the current situation for Infrastructures and Network Applications (INA) specialization at Institute of Information Technology. It also describes how the educational infrastructure could or should be managed in the future.