Suchergebnisse - • Computing methodologies → Machine learning Intrusion Detection Systems

Advancements in Intrusion Detection Systems: A Comparative Analysis of Machine Learning and AI Methodologies von Panigrahi, Swayankar, Mohanty, Soumya Ranjan, Dalai, Ritik Roshan, Wagh, Mamata P., Sawaika, Anuradha, Pradhan, Priti Priyadarsani

“… To improve the effectiveness of intrusion detection system (IDS), this article explores the use of machine learning and AI based technology …”
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Intrusion detection in cloud computing based on time series anomalies utilizing machine learning von Al-Ghuwairi, Abdel-Rahman, Sharrab, Yousef, Al-Fraihat, Dimah, AlElaimat, Majed, Alsarhan, Ayoub, Algarni, Abdulmohsen

“… Despite the widespread use of network intrusion detection systems (NIDS), the issue of false positives remains prevalent …”
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A Review of Machine Learning Methodologies for Network Intrusion Detection von Phadke, Aditya, Kulkarni, Mohit, Bhawalkar, Pranav, Bhattad, Rashmi

“… s. To reduce this work, systems are proposed for network intrusion detection systems capable of analyzing contents of the network by means of machine learning techniques to analyze and classify the malicious contents …”
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Towards an Integrated Methodology and Toolchain for Machine Learning-Based Intrusion Detection in Urban IoT Networks and Platforms von Rangelov, Denis, Lämmel, Philipp, Brunzel, Lisa, Borgert, Stephan, Darius, Paul, Tcholtchev, Nikolay, Boerger, Michell

“… In this paper, we presented a brief overview of existing attacks and defense strategies and used this as motivation for proposing an integrated methodology for developing …”
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M-MultiSVM: An efficient feature selection assisted network intrusion detection system using machine learning von Turukmane, Anil V, Devendiran, Ramkumar

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Design of a Machine Learning Based Intrusion Detection Framework and Methodology for IoT Networks von Manzano S., Ricardo, Goel, Nishith, Zaman, Marzia, Joshi, Rohit, Naik, Kshirasagar

“… Intrusion detection in IoT systems using Machine Learning (ML) techniques can be an effective measure in combating attacks …”
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Adaptive machine learning‐based alarm reduction via edge computing for distributed intrusion detection systems von Wang, Yu, Meng, Weizhi, Li, Wenjuan, Liu, Zhe, Liu, Yang, Xue, Hanxiao

“… Summary To protect assets and resources from being hacked, intrusion detection systems are widely implemented in organizations around the world …”
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QML-IDS: Quantum Machine Learning Intrusion Detection System von Abreu, Diego, Rothenberg, Christian Esteve, Abelem, Antonio

“… In response to this technological advancement, our research presents QML-IDS, a novel Intrusion Detection System (IDS …”
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A Survey on Machine Learning Approaches for Intrusion Detection in Cloud Computing Environments for Improving Routing Payload Security and Network Privacy von Vivek, Vullikanti, Veeravalli, Bharadwaj

“… Considering the high volume of data as data-centric and Intrusion Detection (ID) as a data analysis process, Machine Learning (ML …”
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Intrusion Detection Systems: Exploring Methodologies, Classification, and Machine Learning Approaches von Punia, Anita, Tiwari, Manish, Verma, Sourabh Singh

“… Intrusion Detection Systems (IDSs) play a very critical role in the cyber security infrastructure of any modern organization …”
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QML-IDS: Quantum Machine Learning Intrusion Detection System von Abreu, Diego, Christian Esteve Rothenberg, Abelem, Antonio

“… In response to this technological advancement, our research presents QML-IDS, a novel Intrusion Detection System~(IDS …”
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Intelligent Intrusion Detection System for VANET Using Machine Learning and Deep Learning Approaches von Karthiga, B., Durairaj, Danalakshmi, Nawaz, Nishad, Venkatasamy, Thiruppathy Kesavan, Ramasamy, Gopi, Hariharasudan, A.

“… In this article, an effective Intelligent Intrusion Detection System (IDS) is proposed using machine learning and deep learning approaches such as Adaptive Neuro Fuzzy Inference System (ANFIS …”
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Hybrid Intrusion Detection System Using Machine Learning Techniques in Cloud Computing Environments von Aljamal, Ibraheem, Tekeoglu, Ali, Bekiroglu, Korkut, Sengupta, Saumendra

“… Intrusion detection is one essential tool towards building secure and trustworthy Cloud computing environment, given the ubiquitous presence of cyber attacks that proliferate rapidly and morph dynamically …”
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Utilizing Machine Learning for Intrusion Detection Systems in the Context of Cloud Computing von Mohammed Akif, Anuj Nakka, Solanki Prakash, Vijay N, Dr Suresh Kallam

“… An intrusion detection system's …”
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An Intelligent Intrusion Detection System for Integrated Edge Computing CPS with Machine Learning

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Optimization Model for Machine Learning Based Intrusion Detection System (OML-IDS) in Mobile-Edge Computing von R, Kiruthiga, Jeyalaksshmi, S., Vanitha, V., Khan, Abdul Azeem, Pal, Souvik, Kumar, Rahul

“… The network layer security for MEC is protected by intrusion detection systems (IDSs). We need an updated IDS system capable of detecting modern cyber-attacks as well as monitoring the devices …”
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Optimized Machine Learning-Based Intrusion Detection System for Fog and Edge Computing Environment von Alzubi, Omar A., Alzubi, Jafar A., Alazab, Moutaz, Alrabea, Adnan, Awajan, Albara, Qiqieh, Issa

“… Intrusion detection systems (IDS) can be used to protect against cyberattacks in FC and EC environments, while the large-dimensional features in networking data make processing the massive amount of data difficult, causing lower …”
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Intrusion Detection Systems for IoT: opportunities and challenges offered by Edge Computing and Machine Learning von Spadaccino, Pietro, Cuomo, Francesca

“… Key components of current cybersecurity methods are the Intrusion Detection Systems (IDSs …”
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Methodology for the Detection of Contaminated Training Datasets for Machine Learning-Based Network Intrusion-Detection Systems von Medina-Arco, Joaquín Gaspar, Magán-Carrión, Roberto, Rodríguez-Gómez, Rafael Alejandro, García-Teodoro, Pedro

“… ) have become essential detection tools. Anomaly-based systems use machine learning techniques to distinguish between normal and anomalous traffic …”
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Attack classification in network intrusion detection system based on optimization strategy and deep learning methodology von Ramu, Ch.Kodanda, Rao, T. Srinivasa, Rao, E. Uma Shankar

“… To solve the challenges, network intrusion detection system (NIDS) technology is used; any network can profit from this system because it can monitor traffic and detect any irregularities …”
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