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.

Bibliografiske detaljer
Main Authors:	Al Amin, Istiak, Lamiya, Salsabil, Sheikh, Noshin Anjum, Haque, S. M. Tanjimul
Andre forfattere:	Arif, Hossain
Format:	Thesis
Sprog:	en_US
Udgivet:	Brac University 2022
Fag:	IoT DDoS k-Nearest-Neighbour Random Forest Naive Bayes Artificial Neural Network Support Vector Machine Cyberspace Internet of things Machine learning
Online adgang:	http://hdl.handle.net/10361/17018

Lignende værker

Real time performance analysis on DDoS attack detection using machine learning
af: Suvra, Debashis Kar, et al.
Udgivet: (2021)

Analysis on IOT Botnet and DDOS attack
af: Nur, Md. Walid Bin
Udgivet: (2018)

Mitigating DDoS attacks using a resource sharing network
af: Khan, Farabi Fardin, et al.
Udgivet: (2022)

Real-time DDoS detection in software-defined networks using machine learning
af: Hasan, Kadir, et al.
Udgivet: (2024)

Botnet detection In IoT devices using machine learning
af: Rouf, Shakir, et al.
Udgivet: (2020)

Performance analysis of machine learning algorithms for Malware classification
af: Bushra, Raisa Hasan, et al.
Udgivet: (2023)

A machine learning based approach for DDos attack detection
af: Tahrim, Tasmiah, et al.
Udgivet: (2024)

Best feature selection and data visualization for breast cancer prediction
af: Hemel, Tanjim Ahmed, et al.
Udgivet: (2020)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
af: Rahee, Arnob, et al.
Udgivet: (2021)

A feature selection approach to determine obesity using machine learning method
af: Antor, Shahidul Alam, et al.
Udgivet: (2021)

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
af: Sarkar, Ripa, et al.
Udgivet: (2024)

Recognizing sentimental emotions in text by using Machine Learning
af: Bushra, Tabassum Khan, et al.
Udgivet: (2023)

Diagnosis of cervical cancer using effective hybrid model in Bangladesh
af: Saad-Ul-Kabir, Syed, et al.
Udgivet: (2021)

Data analysis on the Bangladesh share market using Machine-Learning
af: Sadman, Syed Hassan, et al.
Udgivet: (2021)

An effective machine learning approach for sentiment analysis of restaurant reviews
af: Karim, Rabita
Udgivet: (2018)

A machine learning approach to predict young voter enthusiasm based on non-political factors
af: Rahman, Md. Nowroz Junaed, et al.
Udgivet: (2021)

Emotion detection using EEG signals
af: Hossain, Mohammad Adnan
Udgivet: (2021)

Predicting subject area interest of a student using naive bayes
af: Hossain, Shakib
Udgivet: (2016)

SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
af: Alam, Auninda, et al.
Udgivet: (2021)

Text classification using machine learning algorithms
af: Hasnat, Fahim, et al.
Udgivet: (2018)

Estimating flood susceptibility of Bangladesh in the future year using machine learning
af: Alim, Sakib Bin, et al.
Udgivet: (2021)

Sentiment analysis to determine employee job satisfaction using machine learning techniques
af: Mouli, Nazifa, et al.
Udgivet: (2023)

Assistive Guideline of Categorization for Competitive Programming Problems
af: Dhrubo, Najmus Sakib, et al.
Udgivet: (2021)

Identification of childhood leukemia using deep learning
af: Tultul, Farana Naz
Udgivet: (2018)

A hybrid rumor detection model derived from a comparative study of supervised approaches
af: Aothoi, Mehzabin Sadat, et al.
Udgivet: (2023)

Parking data analysis
af: Ahamed, Kasfi, et al.
Udgivet: (2023)

Automatic classified myocardial infarction detection using machine learning and forewarning system with location of the patient using GSM module
af: Shrestha, Soptorsi Paul, et al.
Udgivet: (2021)

Envisioning cyberspace : designing 3-D electronic spaces /
af: Anders, Peter
Udgivet: (1999)

An approach to detect epileptic seizure using XAI and machine learning
af: Bijoy, Emam Hasan, et al.
Udgivet: (2022)

Predicting brain age from EEG signals using machine learning and neural network
af: Pratanu, Abul Mushfique Muslah, et al.
Udgivet: (2023)

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

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

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

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

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

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

Multimodal fake news detection using text and image
af: Biswas, Trisha, et al.
Udgivet: (2024)

Stock market prediction using ensemble learning
af: Rabbani, Rakin Bin, et al.
Udgivet: (2021)

Fighting depression: psychological approaches among Bangladeshi university students
af: Sen, Sanjib Kumar, et al.
Udgivet: (2022)

Heart disease prediction using techniques of classification in machine learning
af: Afrose, Sadia, et al.
Udgivet: (2021)