Data security model using deep learning and edge computing for Internet of Things (IoT) in smart city
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
Main Authors: | , , , , |
---|---|
其他作者: | |
格式: | Thesis |
语言: | English |
出版: |
Brac University
2021
|
主题: | |
在线阅读: | http://hdl.handle.net/10361/15756 |
id |
10361-15756 |
---|---|
record_format |
dspace |
spelling |
10361-157562022-01-26T10:21:45Z Data security model using deep learning and edge computing for Internet of Things (IoT) in smart city Aziz, Md. Yasin Kabbo, Tanjid Alam Tahsin, Tasnuva Zumme, Nadia Haque Tahsin, Mohammad Sadman Hossain, Muhammad Iqbal Department of Computer Science and Engineering, Brac University IoT CNN LSTM Edge computer Smart city Malware Internet Security IoT device Internet of things Computer networks--Security measures Cognitive learning theory This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 25-27). In the current ongoing world of the IoT (Internet of Things) devices, it is absolutely vital to have a safe, secure and reliable cyberspace. A cyberspace or network where it is free from all sorts of unethical activities like hacked systems, data breaches and stolen data. For that, goal to be accomplished we need to have a modern, strong and rigid cybersecurity system so that the information and data stays safe from threats and attacks. Our conducted research includes recent IoT data security issues and a robust security model which ensures the data security of the IoT devices based on a smart city's perspective. According to the recent research data on the vulnerable IoT devices we propose an intelligent and effective security approach to tackle the modern IoT security issues because our data needs to be protected as the IoT devices or \things" as we call it needs to have proper security. A few areas of future research indicate the use of blockchain to resolve the cybersecurity issues of the IoT devices are the most promising and interesting. Md. Yasin Aziz Tanjid Alam Kabbo Tasnuva Tahsin Nadia Haque Zumme Mohammad Sadman Tahsin B. Computer Science 2021-12-26T05:16:25Z 2021-12-26T05:16:25Z 2021 2021-09 Thesis ID 17201019 ID 17301149 ID 17101432 ID 17301008 ID 17301127 http://hdl.handle.net/10361/15756 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 27 pages application/pdf Brac University |
institution |
Brac University |
collection |
Institutional Repository |
language |
English |
topic |
IoT CNN LSTM Edge computer Smart city Malware Internet Security IoT device Internet of things Computer networks--Security measures Cognitive learning theory |
spellingShingle |
IoT CNN LSTM Edge computer Smart city Malware Internet Security IoT device Internet of things Computer networks--Security measures Cognitive learning theory Aziz, Md. Yasin Kabbo, Tanjid Alam Tahsin, Tasnuva Zumme, Nadia Haque Tahsin, Mohammad Sadman Data security model using deep learning and edge computing for Internet of Things (IoT) in smart city |
description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. |
author2 |
Hossain, Muhammad Iqbal |
author_facet |
Hossain, Muhammad Iqbal Aziz, Md. Yasin Kabbo, Tanjid Alam Tahsin, Tasnuva Zumme, Nadia Haque Tahsin, Mohammad Sadman |
format |
Thesis |
author |
Aziz, Md. Yasin Kabbo, Tanjid Alam Tahsin, Tasnuva Zumme, Nadia Haque Tahsin, Mohammad Sadman |
author_sort |
Aziz, Md. Yasin |
title |
Data security model using deep learning and edge computing for Internet of Things (IoT) in smart city |
title_short |
Data security model using deep learning and edge computing for Internet of Things (IoT) in smart city |
title_full |
Data security model using deep learning and edge computing for Internet of Things (IoT) in smart city |
title_fullStr |
Data security model using deep learning and edge computing for Internet of Things (IoT) in smart city |
title_full_unstemmed |
Data security model using deep learning and edge computing for Internet of Things (IoT) in smart city |
title_sort |
data security model using deep learning and edge computing for internet of things (iot) in smart city |
publisher |
Brac University |
publishDate |
2021 |
url |
http://hdl.handle.net/10361/15756 |
work_keys_str_mv |
AT azizmdyasin datasecuritymodelusingdeeplearningandedgecomputingforinternetofthingsiotinsmartcity AT kabbotanjidalam datasecuritymodelusingdeeplearningandedgecomputingforinternetofthingsiotinsmartcity AT tahsintasnuva datasecuritymodelusingdeeplearningandedgecomputingforinternetofthingsiotinsmartcity AT zummenadiahaque datasecuritymodelusingdeeplearningandedgecomputingforinternetofthingsiotinsmartcity AT tahsinmohammadsadman datasecuritymodelusingdeeplearningandedgecomputingforinternetofthingsiotinsmartcity |
_version_ |
1814309364939358208 |