Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace

Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Sonraí bibleagrafaíochta
Príomhchruthaitheoirí:	Al Amin, Istiak, Lamiya, Salsabil, Sheikh, Noshin Anjum, Haque, S. M. Tanjimul
Rannpháirtithe:	Arif, Hossain
Formáid:	Tráchtas
Teanga:	en_US
Foilsithe / Cruthaithe:	Brac University 2022
Ábhair:	IoT DDoS k-Nearest-Neighbour Random Forest Naive Bayes Artificial Neural Network Support Vector Machine Cyberspace Internet of things Machine learning
Rochtain ar líne:	http://hdl.handle.net/10361/17018

Míreanna comhchosúla

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Emotion detection using EEG signals
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A hybrid rumor detection model derived from a comparative study of supervised approaches
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Automatic classified myocardial infarction detection using machine learning and forewarning system with location of the patient using GSM module
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An approach to detect epileptic seizure using XAI and machine learning
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Predicting brain age from EEG signals using machine learning and neural network
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Cardiovascular disease prediction model using Machine Learning Algorithm
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Effectiveness of data mining in predicting heart diseases
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Prediction of diabetes induced complications using different machine learning algorithms
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Erotic desires and practices in cyberspace: "virtual reality" of the non-heterosexual middle class in Bangladesh
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Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis
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Rating detection by reviews using ML and NLP towards mobile phone recommendation
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Multimodal fake news detection using text and image
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Stock market prediction using ensemble learning
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