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.

Xehetasun bibliografikoak
Egile Nagusiak:	Al Amin, Istiak, Lamiya, Salsabil, Sheikh, Noshin Anjum, Haque, S. M. Tanjimul
Beste egile batzuk:	Arif, Hossain
Formatua:	Thesis
Hizkuntza:	en_US
Argitaratua:	Brac University 2022
Gaiak:	IoT DDoS k-Nearest-Neighbour Random Forest Naive Bayes Artificial Neural Network Support Vector Machine Cyberspace Internet of things Machine learning
Sarrera elektronikoa:	http://hdl.handle.net/10361/17018

Antzeko izenburuak

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Argitaratua: (2021)

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Argitaratua: (2018)

Mitigating DDoS attacks using a resource sharing network
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Argitaratua: (2022)

Real-time DDoS detection in software-defined networks using machine learning
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Argitaratua: (2024)

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Argitaratua: (2020)

Performance analysis of machine learning algorithms for Malware classification
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Argitaratua: (2023)

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Argitaratua: (2024)

Best feature selection and data visualization for breast cancer prediction
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A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
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A feature selection approach to determine obesity using machine learning method
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Recognizing sentimental emotions in text by using Machine Learning
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Diagnosis of cervical cancer using effective hybrid model in Bangladesh
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Argitaratua: (2021)

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Argitaratua: (2021)

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Argitaratua: (2021)

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Argitaratua: (2021)

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Argitaratua: (2023)

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Argitaratua: (2023)

Parking data analysis
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Argitaratua: (2023)

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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Argitaratua: (2022)

Predicting brain age from EEG signals using machine learning and neural network
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Argitaratua: (2023)

Cardiovascular disease prediction model using Machine Learning Algorithm
nork: Arefin Mirdha, MD Shamsul
Argitaratua: (2023)

Effectiveness of data mining in predicting heart diseases
nork: Afrin, Shahria, et al.
Argitaratua: (2018)

Prediction of diabetes induced complications using different machine learning algorithms
nork: Rahman, Tahsinur, et al.
Argitaratua: (2018)

Erotic desires and practices in cyberspace: "virtual reality" of the non-heterosexual middle class in Bangladesh
nork: Karim, Shuchi
Argitaratua: (2016)

Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis
nork: Shourin, Bushra, et al.
Argitaratua: (2018)

Rating detection by reviews using ML and NLP towards mobile phone recommendation
nork: Sarker, Md Wafi, et al.
Argitaratua: (2023)

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Stock market prediction using ensemble learning
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