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.
Päätekijät: | Arko, Aritro Roy, Khan, Saadat Hasan, Preety, A a Anjum, Biswas, Mehrab Hossain |
---|---|
Muut tekijät: | Chakrabarty, Amitabha |
Aineistotyyppi: | Opinnäyte |
Kieli: | English |
Julkaistu: |
Brac University
2019
|
Aiheet: | |
Linkit: | http://hdl.handle.net/10361/12776 |
Samankaltaisia teoksia
-
Performance analysis of intrusion detection systems using the PyCaret machine learning library on the UNSW-NB15 dataset
Tekijä: Abdullah, et al.
Julkaistu: (2021) -
Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
Tekijä: Fiha, Yeamin Jahan, et al.
Julkaistu: (2022) -
IoT based automated entry system with integration of Covid-19 symptom detection
Tekijä: Ruhin, Rubaiyat Alam, et al.
Julkaistu: (2024) -
Fault detection and predictive maintenance in IoT-based building management system using machine learning
Tekijä: Sabuj, Khaja Sheikh Imran, et al.
Julkaistu: (2022) -
Automated intruder detection from image sequences using minimum volume sets
Tekijä: Ahmed, Tarem, et al.
Julkaistu: (2016)