Khanna, KushBose, RanjanJoshi, Anupam2018-10-182018-10-182018-02-01Kush Khanna, Ranjan Bose, Anupam Joshi, On Detecting False Data Injection with Limited Network Information using Statistical Techniques, 2017 IEEE Power & Energy Society General Meeting ,01 Feb 2018, , DOI: 10.1109/PESGM.2017.8273902 .10.1109/PESGM.2017.8273902http://hdl.handle.net/11603/115982017 IEEE Power & Energy Society General MeetingCyber-attacks poses a serious threat to power system operation. False data injection attack (FDIA) is one such severe threat, if wisely constructed, can cause flawed estimation of power system states, thereby, leading to uneconomical and unsecured operation of power system. In recent years many methods are proposed to secure the smart grid against malicious cyber-events by protecting certain critical measurement sensors. However, making a system completely hack-proof is rather idealistic. In this paper, in addition to the research carried out in this space, we present a new Log transformation based method to detect the FDIA in real time with high probability. The detection probability of the proposed scheme is compared with existing method using IEEE 14 bus system.5 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.© 2017 IEEECyber securityfalse data injectionKullback- Leibler distancelog transformationsmart gridTime measurementIEEE 14 bus systemnetwork informationcritical measurement sensorsUMBC Ebiquity Research GroupText