ENF Based Robust Media Time-Stamping
| dc.authorid | 0000-0002-0103-9762 | |
| dc.authorid | 0000-0002-6200-1717 | |
| dc.contributor.author | Vatansever, Saffet | |
| dc.contributor.author | Dirik, Ahmet Emir | |
| dc.contributor.author | Memon, Nasir | |
| dc.date.accessioned | 2026-02-12T21:04:53Z | |
| dc.date.available | 2026-02-12T21:04:53Z | |
| dc.date.issued | 2022 | |
| dc.department | Bursa Teknik Üniversitesi | |
| dc.description.abstract | Electric Network Frequency (ENF) continuously fluctuates around a nominal value (50/60 Hz) due to a persistent imbalance between supplied and demanded power. In certain circumstances, ENF gets intrinsically embedded into audio and video recordings and can be extracted from these recordings. Consequently, ENF can be used in a number of media forensic applications, such as verifying the time of recording of the media. In this work, a robust media time-stamping approach is proposed for media whose ENF content is relatively contaminated. It essentially entails two procedures: first, detecting all useful, i.e., considerably accurate, samples of an estimated ENF signal, and then applying an adapted normalized cross-correlation process that is designed for exploiting just the selected ENF portions based on a binary mask of the identified accurate samples. Experimental results show that the proposed approach provides significantly increased performance. | |
| dc.description.sponsorship | Defense Advanced Research Projects Agency; Air Force Research Laboratory [FA8750-16-2-0173] | |
| dc.description.sponsorship | This work was supported in part by the Defense Advanced Research Projects Agency and in part by the Air Force Research Laboratory under Grant FA8750-16-2-0173. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Z. JaneWang. | |
| dc.identifier.doi | 10.1109/LSP.2022.3205563 | |
| dc.identifier.endpage | 1967 | |
| dc.identifier.issn | 1070-9908 | |
| dc.identifier.issn | 1558-2361 | |
| dc.identifier.scopus | 2-s2.0-85137919808 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 1963 | |
| dc.identifier.uri | https://doi.org/10.1109/LSP.2022.3205563 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12885/6704 | |
| dc.identifier.volume | 29 | |
| dc.identifier.wos | WOS:000856100400004 | |
| dc.identifier.wosquality | Q2 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Ieee-Inst Electrical Electronics Engineers Inc | |
| dc.relation.ispartof | Ieee Signal Processing Letters | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_WoS_20260212 | |
| dc.subject | Media | |
| dc.subject | Noise measurement | |
| dc.subject | Forensics | |
| dc.subject | Recording | |
| dc.subject | Harmonic analysis | |
| dc.subject | Estimation | |
| dc.subject | Signal processing algorithms | |
| dc.subject | ENF | |
| dc.subject | electric network frequency | |
| dc.subject | media forensics | |
| dc.subject | multimedia forensics | |
| dc.subject | time-of-recording | |
| dc.subject | time-stamping | |
| dc.title | ENF Based Robust Media Time-Stamping | |
| dc.type | Article |












