Anomaly detection In IoT using machine learning algorithms
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.
Prif Awduron: | Arko, Aritro Roy, Khan, Saadat Hasan, Preety, A a Anjum, Biswas, Mehrab Hossain |
---|---|
Awduron Eraill: | Chakrabarty, Amitabha |
Fformat: | Traethawd Ymchwil |
Iaith: | English |
Cyhoeddwyd: |
Brac University
2019
|
Pynciau: | |
Mynediad Ar-lein: | http://hdl.handle.net/10361/12776 |
Eitemau Tebyg
-
Performance analysis of intrusion detection systems using the PyCaret machine learning library on the UNSW-NB15 dataset
gan: Abdullah, et al.
Cyhoeddwyd: (2021) -
Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
gan: Fiha, Yeamin Jahan, et al.
Cyhoeddwyd: (2022) -
IoT based automated entry system with integration of Covid-19 symptom detection
gan: Ruhin, Rubaiyat Alam, et al.
Cyhoeddwyd: (2024) -
Fault detection and predictive maintenance in IoT-based building management system using machine learning
gan: Sabuj, Khaja Sheikh Imran, et al.
Cyhoeddwyd: (2022) -
Automated intruder detection from image sequences using minimum volume sets
gan: Ahmed, Tarem, et al.
Cyhoeddwyd: (2016)