المؤلفون: Soni, Muhammad Akmal Remli, Kauthar Mohd Daud, Januar Al Amien

المصدر: International Journal of Electronics and Telecommunications, Vol vol. 70, Iss No 2, Pp 465-472 (2024)

مصطلحات موضوعية: binary classification, xgboost, ton iot dataset, ensemble technique, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Telecommunication, TK5101-6720

وصف الملف: electronic resource

Relation: https://journals.pan.pl/Content/131808/27-4433-Soni-sk.pdf; https://doaj.org/toc/2081-8491; https://doaj.org/toc/2300-1933

URL الوصول: https://doaj.org/article/132d1be74dab41f9a78bf429388f835a

المؤلفون: Urikhimbam Boby Clinton, Nazrul Hoque

المصدر: IEEE Access, Vol 12, Pp 166068-166092 (2024)

مصطلحات موضوعية: Internet of Things, IoT dataset, cybersecurity, network testbed, machine learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10747334/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/3e9c8a3eb0e14740a9c2f9cf76b31f6b

المؤلفون: Saman Iftikhar, Danish Khan, Daniah Al-Madani, Khattab M. Ali Alheeti, Kiran Fatima

المصدر: Computer Science Journal of Moldova, Vol 30, Iss 3(90), Pp 288-307 (2022)

مصطلحات موضوعية: malicious intrusions, anomaly detection, machine learning, deep learning, classification, iot dataset, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: http://www.math.md/files/csjm/v30-n3/v30-n3-(pp288-307).pdf; https://doaj.org/toc/1561-4042; https://doaj.org/toc/2587-4330

URL الوصول: https://doaj.org/article/785e64d29575441a897ef150fa8ca5ff

المؤلفون: Rania A. Elsayed, Reem A. Hamada, Mahmoud I. Abdalla, Shaimaa Ahmed Elsaid

المصدر: Ain Shams Engineering Journal, Vol 14, Iss 10, Pp 102211- (2023)

مصطلحات موضوعية: Intrusion Detection System (IDS), Internet of Things (IOT), Deep Learning (DL), ToN-IoT dataset, InSDN dataset, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2090447923001004; https://doaj.org/toc/2090-4479

URL الوصول: https://doaj.org/article/6f98ec696d124e23a997067f2d6f5fb5

المؤلفون: Josue Genaro Almaraz-Rivera, Jesus Arturo Perez-Diaz, Jose Antonio Cantoral-Ceballos, Juan Felipe Botero, Luis A. Trejo

المصدر: IEEE Access, Vol 10, Pp 106909-106920 (2022)

مصطلحات موضوعية: DDoS attacks, DoS attacks, Internet of Things, intrusion detection systems, LATAM-DDoS-IoT dataset, software defined networking, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9908531/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/db1103595837425daabe6a7e79683acb

المؤلفون: Shema Alosaimi, Saad M. Almutairi

المصدر: Applied Sciences, Vol 13, Iss 9, p 5427 (2023)

مصطلحات موضوعية: internet of things, network anomaly detection, IDS, cyberattacks, machine learning, BoT-IoT dataset, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/13/9/5427; https://doaj.org/toc/2076-3417; https://doaj.org/article/1b63bbf9e4774966a79078b3ed83e3be

الاتاحة: https://doi.org/10.3390/app13095427
https://doaj.org/article/1b63bbf9e4774966a79078b3ed83e3be

المؤلفون: Kerrakchou, Imane, Hassan, Adil Abou El, Chadli, Sara, Emharraf, Mohamed, Saber, Mohammed

المصدر: Indonesian Journal of Electrical Engineering and Computer Science; Vol 31, No 3: September 2023; 1784-1793 ; 2502-4760 ; 2502-4752 ; 10.11591/ijeecs.v31.i3

مصطلحات موضوعية: Artificial intelligence, Bot-IoT dataset, Internet of things, Intrusion detection system, Machine learning, Supervised learning

وصف الملف: application/pdf

Relation: https://ijeecs.iaescore.com/index.php/IJEECS/article/view/32573/17591; https://ijeecs.iaescore.com/index.php/IJEECS/article/view/32573

الاتاحة: https://ijeecs.iaescore.com/index.php/IJEECS/article/view/32573
https://doi.org/10.11591/ijeecs.v31.i3.pp1784-1793

المؤلفون: Abdallah R. Gad, Ahmed A. Nashat, Tamer M. Barkat

المصدر: IEEE Access, Vol 9, Pp 142206-142217 (2021)

مصطلحات موضوعية: Intrusion detection system (IDS), Internet of Things (IoT), ToN-IoT dataset, machine learning (ML), vehicular ad hoc networks (VANETs), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9576115/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/c6d8a9f4ab52400d8ea3eb802ee23f74

المؤلفون: Rania Elsayed, Reem Hamada, Mohammad Hammoudeh, Mahmoud Abdalla, Shaimaa Ahmed Elsaid

المصدر: Journal of Sensor and Actuator Networks; Volume 12; Issue 1; Pages: 3

مصطلحات موضوعية: intrusion detection system (IDS), internet of things (IoT), deep learning (DL), long short-term memory (LSTM), energy harvesting real-time routing protocol (EHRT), low-energy adaptive clustering hierarchy (LEACH), artificial fish swarm algorithm (AFSA), ToN-IoT dataset, InSDN dataset

وصف الملف: application/pdf

Relation: Wireless Control Networks; https://dx.doi.org/10.3390/jsan12010003

الاتاحة: https://doi.org/10.3390/jsan12010003

المؤلفون: Imad Tareq, Bassant M. Elbagoury, Salsabil El-Regaily, El-Sayed M. El-Horbaty

المصدر: Applied Sciences; Volume 12; Issue 19; Pages: 9572

مصطلحات موضوعية: DenseNet, inception time, cyber security, malware detection, ToN-IoT dataset, UNSW2015 dataset, Edge-IIoT dataset, AI

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Computing and Artificial Intelligence; https://dx.doi.org/10.3390/app12199572

الاتاحة: https://doi.org/10.3390/app12199572

المؤلفون: Bellmunt Fuentes, Andrea

المساهمون: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Rodríguez Luna, Eva, Otero Calviño, Beatriz

مصطلحات موضوعية: Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, Intrusion detection systems (Computer security), Neural networks (Computer science), Internet of things, Sistema de Detecció d'Intrusions, detecció d'atacs, classificació d'atacs, Aprenentatge Federat, Aprenentatge per Transferència Federat, Xarxa Neuronal Convolucional, xarxes 5G, Internet de les Coses, conjunt de dades UNSW-NB15, conjunt de dades Bot-IoT, compartició de pesos, funcions d'agregació robustes, mediana geomètrica, Intrusion Detection System, Attack detection, Attack classification, Federated Learning, Federated Transfer Learning, Convolutional Neural Network, 5G networks, UNSW-NB15 Dataset, Bot-IoT Dataset, weight sharing, robust aggregation functions, geometric median, Sistemes de detecció d'intrusos (Seguretat informàtica)

وصف الملف: application/pdf

Relation: http://hdl.handle.net/2117/416079; 188772

الاتاحة: http://hdl.handle.net/2117/416079

المؤلفون: Das, Anurag, Ajila, Samuel, A., Lung, Chung-Horng

المساهمون: University of Ottawa Ottawa, Selma Boumerdassi, Éric Renault, Paul Mühlethaler, TC 6

المصدر: Lecture Notes in Computer Science ; 2nd International Conference on Machine Learning for Networking (MLN) ; https://inria.hal.science/hal-03266472 ; 2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.40-57, ⟨10.1007/978-3-030-45778-5_4⟩

مصطلحات موضوعية: Network intrusion detection, Supervised learning, UNSW-NB15 dataset, BoT-IoT dataset, [INFO]Computer Science [cs], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]

جغرافية الموضوع: Paris, France

الاتاحة: https://inria.hal.science/hal-03266472
https://inria.hal.science/hal-03266472v1/document
https://inria.hal.science/hal-03266472v1/file/487577_1_En_4_Chapter.pdf
https://doi.org/10.1007/978-3-030-45778-5_4

المؤلفون: Foley, John, Ochen, Henry, Moradpoor, Naghmeh

مصطلحات موضوعية: IoT Dataset, Objective Functions, Combined IoT Attacks, Machine Learning, Network Metrics, Power Metrics, 006.3 Artificial intelligence, QA75 Electronic computers. Computer science

Relation: http://researchrepository.napier.ac.uk/Output/2454995; https://napier-repository.worktribe.com/file/2454995/1/Employing%20A%20Machine%20Learning%20Approach%20To%20Detect%20Combined%20Internet%20Of%20Things%20Attacks%20Against%20Two%20Objective%20Functions%20Using%20A%20Novel%20Dataset

الاتاحة: https://doi.org/10.1155/2020/2804291
https://napier-repository.worktribe.com/file/2454995/1/Employing%20A%20Machine%20Learning%20Approach%20To%20Detect%20Combined%20Internet%20Of%20Things%20Attacks%20Against%20Two%20Objective%20Functions%20Using%20A%20Novel%20Dataset
http://researchrepository.napier.ac.uk/Output/2454995

المؤلفون: Jadel Alsamiri, Khalid Alsubhi

مصطلحات موضوعية: Network anomaly detection, machine learning, In-ternet of Things (IoT), cyberattacks, bot-IoT dataset

Relation: http://dx.doi.org/10.14569/IJACSA.2019.0101280

الاتاحة: https://doi.org/10.14569/IJACSA.2019.0101280

المؤلفون: Almaraz Rivera, Josué Genaro

المساهمون: Pérez Díaz, Jesús Arturo, School of Engineering and Sciences, Trejo Rodríguez, Luis Ángel, Botero Vega, Juan Felipe, Cantoral Ceballos, José Antonio, Campus Monterrey, puelquio/mscuervo

مصطلحات موضوعية: CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA::MATEMÁTICAS::CIENCIA DE LOS ORDENADORES::SISTEMAS DE INFORMACIÓN, DISEÑO Y COMPONENTES, Technology, Class balancing, DDoS attacks, Deep Learning, DoS attacks, Internet of Things, Intrusion Detection Systems, LATAM-DDoS-IoT dataset, Machine Learning, Software Defined Networking, Transfer Learning

وصف الملف: Texto; application/pdf

Relation: publishedVersion; REPOSITORIO NACIONAL CONACYT; Almaraz Rivera, J.G. (2022). The identification of DoS and DDoS attacks to IoT devices in software defined networks by using machine learning and deep learning models [Unpublished master's thesis]. Instituto Tecnológico y de Estudios Superiores de Monterrey.; https://hdl.handle.net/11285/650696; orcid:0000-0001-8343-4530; 942937

الاتاحة: https://hdl.handle.net/11285/650696

المؤلفون: Anurag Das, Samuel A. Ajila, Chung-Horng Lung

المساهمون: Carleton University, Selma Boumerdassi, Éric Renault, Paul Mühlethaler, TC 6

المصدر: Lecture Notes in Computer Science
2nd International Conference on Machine Learning for Networking (MLN)
2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.40-57, ⟨10.1007/978-3-030-45778-5_4⟩
Machine Learning for Networking ISBN: 9783030457778
MLN

مصطلحات موضوعية: Computer science, 02 engineering and technology, Machine learning, computer.software_genre, Naive Bayes classifier, Intrusion, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0202 electrical engineering, electronic engineering, information engineering, UNSW-NB15 dataset, [INFO]Computer Science [cs], Network intrusion detection, Vulnerability (computing), business.industry, BoT-IoT dataset, Supervised learning, 020206 networking & telecommunications, Flow network, Random forest, 020201 artificial intelligence & image processing, Anomaly detection, Artificial intelligence, business, Algorithm, computer

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::092d493b80d113f4aec62252a307386d
https://hal.inria.fr/hal-03266472/file/487577_1_En_4_Chapter.pdf

المؤلفون: Stiawan, Deris, Wahyudi, Dimas, Heryanto, Ahmad, Septian, Tri Wanda, Wahyudi, Johan, Andika, Riki, Suryani, Meilinda Eka

مصطلحات موضوعية: Internet of things, IoT Dataset, zbassofflood dataset

Relation: https://doi.org/10.5281/zenodo.4431540; https://doi.org/10.5281/zenodo.4431541; oai:zenodo.org:4431541

الاتاحة: https://doi.org/10.5281/zenodo.4431541