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Unlike traditional methods that rely on physical-layer metrics like RSSI from end devices, our strategy uses only data upload statistics available at the backend network server. We propose a multi-stage filtering approach that first identifies anomalous upload failures and then distinguishes jamming attacks from communication faults by analyzing their distinct spatio-temporal signatures. Furthermore, the framework can reconstruct the attacker\u2019s trajectory from the identified attack events. We evaluate the proposed strategy via extensive discrete-time simulations under various network densities and attacker speeds. Results demonstrate high efficacy, achieving an F1-score of up to 1.00 for event detection and a trajectory reconstruction mean absolute error (MAE) as low as 7.07 meters in dense networks, even in the presence of faults. This work\u2019s primary contribution is a backend-centric, fault-tolerant detection methodology that enhances situational awareness without imposing additional overhead on resource-constrained end devices.<\/jats:p>","DOI":"10.1145\/3777454","type":"journal-article","created":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T15:39:51Z","timestamp":1763480391000},"page":"1-23","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Cybersecurity in Cyber-Physical Systems: Wireless Jamming Attack Detection in Noisy LoRaWAN Environment"],"prefix":"10.1145","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-5058-1520","authenticated-orcid":false,"given":"Xiaoyi","family":"Su","sequence":"first","affiliation":[{"name":"Department of Systems Engineering, City University of Hong Kong, Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0919-8781","authenticated-orcid":false,"given":"Chao","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Engineering, National Taiwan Normal University, Taipei City, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3737-9248","authenticated-orcid":false,"given":"Zhixin","family":"Zhou","sequence":"additional","affiliation":[{"name":"Alpha Benito Research, Los Angeles, California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0711-8039","authenticated-orcid":false,"given":"Rui","family":"Luo","sequence":"additional","affiliation":[{"name":"Department of Systems Engineering, City University of Hong Kong, Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,4,21]]},"reference":[{"key":"e_1_3_1_2_2","first-page":"4731953","article-title":"WSN-DS: A dataset for intrusion detection systems in wireless sensor networks","volume":"1","author":"Almomani Iman","year":"2016","unstructured":"Iman Almomani, Bassam Al-Kasasbeh, and Mousa Al-Akhras. 2016. 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