Real time performance analysis on DDoS attack detection using machine learning

Real time performance analysis on DDoS attack detection using machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Xehetasun bibliografikoak
Egile Nagusiak:	Suvra, Debashis Kar, Sen, Tanusree, Mou, Maysha Maliha, Rahman, Asifur
Beste egile batzuk:	Hossain, Muhammad Iqbal
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2021
Gaiak:	DDoS attacks Detection Artificial intelligence Machine learning.
Sarrera elektronikoa:	http://hdl.handle.net/10361/14730

Antzeko izenburuak

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

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

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

Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
nork: Al Amin, Istiak, et al.
Argitaratua: (2022)

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

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

Multimodal human detection in disaster situations using deep learning & artificial intelligence
nork: Rafat, Md. Tasbi, et al.
Argitaratua: (2023)

Intrusion detection system for various IoT attacks on MQTT protocol
nork: Farhan, et al.
Argitaratua: (2022)

A semi-supervised federated learning approach leveraging pseudo-labeling for Knee Osteoarthritis severity detection
nork: Rifat, Rakib Hossain
Argitaratua: (2024)

Heart attack prediction using machine learning and XAI
nork: Ahsan, Mumtahina
Argitaratua: (2023)

Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms
nork: Farhan, Rafid, et al.
Argitaratua: (2024)

Analysing neural network models for detecting panic attacks with uncertainty analysis
nork: Tahmid, Ahnaf, et al.
Argitaratua: (2024)

Demystifying machine learning models for IOT attack detection with explainable AI
nork: Muna, Rabeya Khatun, et al.
Argitaratua: (2021)

Impact of black-hole and jellyfish attacks in MANET using HTTP traffic
nork: Ahmed, Faisal, et al.
Argitaratua: (2017)

Disease detection system of mango leaves
nork: Islam, Sabrina, et al.
Argitaratua: (2024)

Exploring Alzheimer's disease prediction with XAI in various neural network models
nork: Rahman, Quazi Ashikur, et al.
Argitaratua: (2022)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
nork: Ferdous, Md.Rubaiat, et al.
Argitaratua: (2024)

Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
nork: Rahman, Masroor, et al.
Argitaratua: (2023)

Making AI intelligible :
nork: Cappelen, Herman

Artificial Intelligence : a new synthesis /
nork: Nilsson, Nils J., 1933-
Argitaratua: (1998)

Artificial intelligence /
nork: Rich, Elaine
Argitaratua: (1991)

Artificial intelligence : a modern approach /
nork: Russell, Stuart J. (Stuart Jonathan)
Argitaratua: (2003)

Introduction to artificial intelligence /
nork: Charniak, Eugene
Argitaratua: (1985)

Principles of artificial intelligence /
nork: Nilsson, Nils J., 1933-
Argitaratua: (1980)

Artificial intelligence /
nork: Winston, Patrick Henry
Argitaratua: (1992)

Artificial intelligence at MIT : expanding frontiers /
Argitaratua: (1990)

Introduction to artificial intelligence /
nork: Jackson, Philip C., 1949-
Argitaratua: (1985)

The role of Artificial Intelligence (AI) in the detection and diagnosis of chronic diseases – a review
nork: Zaman, Mumtahina
Argitaratua: (2022)

Vapor adsorption limitation of graphene nanoribbons in quasi conductance increment: a NEGF approach
nork: Shakil, Shifur Rahman, et al.
Argitaratua: (2016)

The impact of artificial intelligence on the financial sector
nork: Siddiqui, Ria
Argitaratua: (2024)

Implementing A.I based solutions to understand & predict consumer sentiment
nork: Bin Ahmed, Omar
Argitaratua: (2023)

Deepfake detection using neural networks
nork: Sakib, Sadman, et al.
Argitaratua: (2021)

Introduction to AI robotics /
nork: Murphy, Robin, 1957-
Argitaratua: (2000)

Intelligent systems and robotics /
Argitaratua: (2000)

Artificial intelligence : a modern approach /
nork: Russell, Stuart J. (Stuart Jonathan)
Argitaratua: (2016)

Artificial intelligence in HR Management
nork: Lamia, Ridwana Islam
Argitaratua: (2023)

PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
nork: Rahman, Tahsinur, et al.
Argitaratua: (2023)

A deep learning based autonomous electric vehicle on unstructured road conditions
nork: Adnan, Ashik, et al.
Argitaratua: (2021)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
nork: Radiah, Faiza, et al.
Argitaratua: (2024)

Early detection of parkinson’s disease using image processing and artificial neural network
nork: Rumman, Mosarrat, et al.
Argitaratua: (2018)