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.
Autori principali: | Arko, Aritro Roy, Khan, Saadat Hasan, Preety, A a Anjum, Biswas, Mehrab Hossain |
---|---|
Altri autori: | Chakrabarty, Amitabha |
Natura: | Tesi |
Lingua: | English |
Pubblicazione: |
Brac University
2019
|
Soggetti: | |
Accesso online: | http://hdl.handle.net/10361/12776 |
Documenti analoghi
-
Performance analysis of intrusion detection systems using the PyCaret machine learning library on the UNSW-NB15 dataset
di: Abdullah, et al.
Pubblicazione: (2021) -
Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
di: Fiha, Yeamin Jahan, et al.
Pubblicazione: (2022) -
IoT based automated entry system with integration of Covid-19 symptom detection
di: Ruhin, Rubaiyat Alam, et al.
Pubblicazione: (2024) -
Fault detection and predictive maintenance in IoT-based building management system using machine learning
di: Sabuj, Khaja Sheikh Imran, et al.
Pubblicazione: (2022) -
Automated intruder detection from image sequences using minimum volume sets
di: Ahmed, Tarem, et al.
Pubblicazione: (2016)