{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T18:44:47Z","timestamp":1780512287288,"version":"3.54.1"},"reference-count":23,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2022,2,28]],"date-time":"2022-02-28T00:00:00Z","timestamp":1646006400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Cyberattacks are increasing in both number and severity for private, corporate, and governmental bodies. To prevent these attacks, many intrusion detection systems and intrusion prevention systems provide computer security by monitoring network packets and auditing system records. However, most of these systems only monitor network packets rather than the computer itself, so physical intrusion is also an important security issue. Furthermore, with the rapid progress of the Internet of Things (IoT) technology, security problems of IoT devices are also increasing. Many IoT devices can be disassembled for decompilation, resulting in the theft of sensitive data. To prevent this, physical intrusion detection systems of the IoT should be considered. We here propose a physical security system that can protect data from unauthorized access when the computer chassis is opened or tampered with. Sensor switches monitor the chassis status at all times and upload event logs to a cloud server for remote monitoring. If the system finds that the computer has an abnormal condition, it takes protective measures and notifies the administrator. This system can be extended to IoT devices to protect their data from theft.<\/jats:p>","DOI":"10.3390\/s22051882","type":"journal-article","created":{"date-parts":[[2022,2,28]],"date-time":"2022-02-28T20:11:57Z","timestamp":1646079117000},"page":"1882","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["PSPS: A Step toward Tamper Resistance against Physical Computer Intrusion"],"prefix":"10.3390","volume":"22","author":[{"given":"Ming-Chang","family":"Lu","sequence":"first","affiliation":[{"name":"Department of Computer Science, National Tsing Hua University, Hsinchu 30013, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5507-8337","authenticated-orcid":false,"given":"Qi-Xian","family":"Huang","sequence":"additional","affiliation":[{"name":"Institute of Information Systems and Applications, National Tsing Hua University, Hsinchu 30013, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min-Yi","family":"Chiu","sequence":"additional","affiliation":[{"name":"Institute of Information Systems and Applications, National Tsing Hua University, Hsinchu 30013, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan-Chia","family":"Tsai","sequence":"additional","affiliation":[{"name":"Institute of Information Security, National Tsing Hua University, Hsinchu 30013, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0870-9973","authenticated-orcid":false,"given":"Hung-Min","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Computer Science, National Tsing Hua University, Hsinchu 30013, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,2,28]]},"reference":[{"key":"ref_1","unstructured":"(2021, December 21). The Ultimate List of Cyber Security Statistics for 2019. Available online: https:\/\/purplesec.us\/resources\/cyber-security-statistics\/."},{"key":"ref_2","unstructured":"(2021, December 21). Security Onion. Available online: https:\/\/securityonion.net\/."},{"key":"ref_3","unstructured":"(2021, December 21). Suricata. Available online: https:\/\/suricata-ids.org\/."},{"key":"ref_4","unstructured":"(2021, December 21). Snort. Available online: https:\/\/www.snort.org\/."},{"key":"ref_5","unstructured":"(2021, December 21). Ossec. Available online: https:\/\/www.ossec.net\/."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"158931","DOI":"10.1109\/ACCESS.2019.2950884","article-title":"A Model Driven Reverse Engineering Framework for Generating High Level UML Models From Java Source Code","volume":"7","author":"Sabir","year":"2019","journal-title":"IEEE Access"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Reznik, L. (2022). Computer Security with Artificial Intelligence, Machine Learning, and Data Science Combination. Intelligent Security Systems: How Artificial Intelligence, Machine Learning and Data Science Work For and Against Computer Security, IEEE.","DOI":"10.1002\/9781119771579"},{"key":"ref_8","unstructured":"(2021, December 21). Common Vulnerabilities and Exposures. Available online: https:\/\/cve.mitre.org\/."},{"key":"ref_9","unstructured":"(2021, December 21). Top 5 Computer Security Vulnerabilities. Available online: https:\/\/www.compuquip.com\/blog\/computer-security-vulnerabilities."},{"key":"ref_10","unstructured":"Edgar, W. (2018). Internet of Things Security: Fundamentals, Techniques and Applications, River Publishers."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Borkar, A., Donode, A., and Kumari, A. (2017, January 23\u201324). A survey on Intrusion Detection System (IDS) and Internal Intrusion Detection and protection system (IIDPS). Proceedings of the 2017 International Conference on Inventive Computing and Informatics (ICICI), Coimbatore, India.","DOI":"10.1109\/ICICI.2017.8365277"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"3632","DOI":"10.1109\/TII.2019.2897133","article-title":"A Blockchain-Based Nonrepudiation Network Computing Service Scheme for Industrial IoT","volume":"15","author":"Xu","year":"2019","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Ahmed, M., Pal, R., Hossain, M.M., Bikas, M.A.N., and Hasan, M.K. (2009, January 17\u201320). NIDS: A Network Based Approach to Intrusion Detection and Prevention. Proceedings of the 2009 International Association of Computer Science and Information Technology\u2014Spring Conference, Singapore.","DOI":"10.1109\/IACSIT-SC.2009.96"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Maske, S.A., and Parvat, T.J. (2016, January 26\u201327). Advanced anomaly intrusion detection technique for host based system using system call patterns. Proceedings of the 2016 International Conference on Inventive Computation Technologies (ICICT), Coimbatore, India.","DOI":"10.1109\/INVENTIVE.2016.7824846"},{"key":"ref_15","unstructured":"Al-Hamami, A.H., and Al-Saadoon, G.M.W. (2013, January 7\u20139). Development of a network-based: Intrusion Prevention System using a Data Mining approach. Proceedings of the 2013 Science and Information Conference, London, UK."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Gaddam, R., and Nandhini, M. (2017, January 10\u201311). An analysis of various snort based techniques to detect and prevent intrusions in networks proposal with code refactoring snort tool in Kali Linux envi- ronment. Proceedings of the 2017 International Conference on Inventive Communication and Computational Technologies (ICICCT), Coimbatore, India.","DOI":"10.1109\/ICICCT.2017.7975177"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Ajay Kumara, M.A., and Jaidhar, C.D. (2015, January 26\u201328). Hypervisor and virtual machine dependent Intrusion Detection and Prevention System for virtualized cloud environment. Proceedings of the 2015 1st International Conference on Telematics and Future Generation Networks (TAFGEN), Kuala Lumpur, Malaysia.","DOI":"10.1109\/TAFGEN.2015.7289570"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Zhang, W., Dong, M., Ota, K., Li, J., Yang, W., and Wu, J. (2020, January 7\u201311). A Big Data Management Architecture for Standardized IoT Based on Smart Scalable SNMP. Proceedings of the ICC 2020\u20132020 IEEE International Conference on Communications (ICC), Dublin, Ireland.","DOI":"10.1109\/ICC40277.2020.9149368"},{"key":"ref_19","unstructured":"(2021, December 21). Advantech DPX-S1435 High Performance Intel\u00ae Multi-Screen Gaming Platform. Available online: https:\/\/bkaii.com.vn\/san-pham\/advantech\/dpx-s1435-high-performance-intel-multi-screen-gaming-platform."},{"key":"ref_20","unstructured":"Meng, X., Yang, S., Chen, Z., Lu, W., Zhang, Y., Huang, J., Li, H., Su, W., and Li, S. (2011, January 17\u201318). Low power eeprom designed for sensor interface circuit. Proceedings of the 2011 IEEE International Conference of Electron Devices and Solid-State Circuits, Tianjin, China."},{"key":"ref_21","unstructured":"(2021, December 21). Smsto Api. Available online: https:\/\/sms.to\/sms-api."},{"key":"ref_22","unstructured":"(2021, December 21). Javamail Api. Available online: https:\/\/javaee.github.io\/javamail\/."},{"key":"ref_23","unstructured":"(2021, December 21). Syncback-Free. Available online: https:\/\/www.2brightsparks.com\/download-syncbackfree.html."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/5\/1882\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:29:04Z","timestamp":1760135344000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/5\/1882"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,28]]},"references-count":23,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2022,3]]}},"alternative-id":["s22051882"],"URL":"https:\/\/doi.org\/10.3390\/s22051882","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,2,28]]}}}