A Framework of universities' smart campus to detect and mitigate vulnerabilities for IoT devices
One of the most persuasive technologies in developing universities' smart campus applications is the Internet of Things (IoT) technique. Deploying thousands of readily available devices connected to IoT systems by ignoring device vulnerabilities and threat strategies in smart campus infrastruc...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
ISTES Organization
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/37291/ http://umpir.ump.edu.my/id/eprint/37291/2/A%20Framework%20of%20Universities%27%20Smart%20Campus%20to%20Detect_FULL.pdf |
| _version_ | 1848825212172238848 |
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| author | Mazlina, Abdul Majid Ajra, Husnul Shehadeh, Ali Islam, Md. Shohidul Ismail Hammad, Khalid Adam |
| author_facet | Mazlina, Abdul Majid Ajra, Husnul Shehadeh, Ali Islam, Md. Shohidul Ismail Hammad, Khalid Adam |
| author_sort | Mazlina, Abdul Majid |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | One of the most persuasive technologies in developing universities' smart campus applications is
the Internet of Things (IoT) technique. Deploying thousands of readily available devices connected to IoT systems by ignoring device vulnerabilities and threat strategies in smart campus infrastructure is exacerbating security challenges. Moreover, unreliable sensing, transmission, or processing of IoT devices, false observations, long delays, and data reports reveal the vulnerability of efficient smart campus infrastructure. Some transient errors or attacks also occur here due to many vulnerable device memory, processing power, soft errors, and battery imperfections. The need to overcome significant challenges, including advanced training-rich IoT devices, credible designers, reliability, scalability, interoperability, availability, and performance, has motivated our aim to implement intelligent platforms for university campuses. In this study, we propose an operational framework for smart campuses to detect and mitigate vulnerabilities aimed at processing a comprehensive security certification of IoT devices, including introducing a smart model for university campuses. We discuss challenges, detection, and mitigation of vulnerabilities associated with smart campuses. From the literature exploration, we found that machine learning and DNN are capable of being used to detect malicious behaviour and vulnerable sources. Thus, the proposed framework is expected to provide better security and be capable of meeting the compliance of existing university services. |
| first_indexed | 2025-11-15T03:25:20Z |
| format | Conference or Workshop Item |
| id | ump-37291 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:25:20Z |
| publishDate | 2023 |
| publisher | ISTES Organization |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-372912025-05-30T08:55:31Z http://umpir.ump.edu.my/id/eprint/37291/ A Framework of universities' smart campus to detect and mitigate vulnerabilities for IoT devices Mazlina, Abdul Majid Ajra, Husnul Shehadeh, Ali Islam, Md. Shohidul Ismail Hammad, Khalid Adam QA76 Computer software One of the most persuasive technologies in developing universities' smart campus applications is the Internet of Things (IoT) technique. Deploying thousands of readily available devices connected to IoT systems by ignoring device vulnerabilities and threat strategies in smart campus infrastructure is exacerbating security challenges. Moreover, unreliable sensing, transmission, or processing of IoT devices, false observations, long delays, and data reports reveal the vulnerability of efficient smart campus infrastructure. Some transient errors or attacks also occur here due to many vulnerable device memory, processing power, soft errors, and battery imperfections. The need to overcome significant challenges, including advanced training-rich IoT devices, credible designers, reliability, scalability, interoperability, availability, and performance, has motivated our aim to implement intelligent platforms for university campuses. In this study, we propose an operational framework for smart campuses to detect and mitigate vulnerabilities aimed at processing a comprehensive security certification of IoT devices, including introducing a smart model for university campuses. We discuss challenges, detection, and mitigation of vulnerabilities associated with smart campuses. From the literature exploration, we found that machine learning and DNN are capable of being used to detect malicious behaviour and vulnerable sources. Thus, the proposed framework is expected to provide better security and be capable of meeting the compliance of existing university services. ISTES Organization 2023 Conference or Workshop Item PeerReviewed pdf en cc_by_nc_sa_4 http://umpir.ump.edu.my/id/eprint/37291/2/A%20Framework%20of%20Universities%27%20Smart%20Campus%20to%20Detect_FULL.pdf Mazlina, Abdul Majid and Ajra, Husnul and Shehadeh, Ali and Islam, Md. Shohidul and Ismail Hammad, Khalid Adam (2023) A Framework of universities' smart campus to detect and mitigate vulnerabilities for IoT devices. In: Proceedings of International Conference on Research in Education and Science e (ICRES 2023). International Conference on Research in Education and Science (ICRES 2023) , 18 - 21 May 2023 , Cappadocia, Turkey. pp. 1681-1694., 1 (1). ISBN 978-1-952092-44-2 (Published) https://www.2023.icres.net/ |
| spellingShingle | QA76 Computer software Mazlina, Abdul Majid Ajra, Husnul Shehadeh, Ali Islam, Md. Shohidul Ismail Hammad, Khalid Adam A Framework of universities' smart campus to detect and mitigate vulnerabilities for IoT devices |
| title | A Framework of universities' smart campus to detect and mitigate vulnerabilities for IoT devices |
| title_full | A Framework of universities' smart campus to detect and mitigate vulnerabilities for IoT devices |
| title_fullStr | A Framework of universities' smart campus to detect and mitigate vulnerabilities for IoT devices |
| title_full_unstemmed | A Framework of universities' smart campus to detect and mitigate vulnerabilities for IoT devices |
| title_short | A Framework of universities' smart campus to detect and mitigate vulnerabilities for IoT devices |
| title_sort | framework of universities' smart campus to detect and mitigate vulnerabilities for iot devices |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/37291/ http://umpir.ump.edu.my/id/eprint/37291/ http://umpir.ump.edu.my/id/eprint/37291/2/A%20Framework%20of%20Universities%27%20Smart%20Campus%20to%20Detect_FULL.pdf |