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However, embedded sensors are vulnerable to compromise by external actors through malware but also through their wireless and physical interfaces. Compromised sensors can be made to report false measurements with the aim to produce inappropriate and potentially dangerous responses. Such malicious data injections can be particularly difficult to detect if multiple sensors have been compromised as they could emulate plausible sensor behaviour such as failures or detection of events where none occur. This survey reviews the related work on malicious data injection in wireless sensor networks, derives general principles and a classification of approaches within this domain, compares related studies and identifies areas that require further investigation.<\/jats:p>","DOI":"10.1145\/2818184","type":"journal-article","created":{"date-parts":[[2015,10,13]],"date-time":"2015-10-13T22:31:00Z","timestamp":1444775460000},"page":"1-33","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":64,"title":["Detecting Malicious Data Injections in Wireless Sensor Networks"],"prefix":"10.1145","volume":"48","author":[{"given":"Vittorio P.","family":"Illiano","sequence":"first","affiliation":[{"name":"Imperial College London, London SW, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emil C.","family":"Lupu","sequence":"additional","affiliation":[{"name":"Imperial College London, London SW, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2015,10,12]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"Idris M. 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