Forensic content detection through power consumption
Digital forensic investigators are facing challenging problems of finding clues and solving crimes involving digital data. Advanced metering devices (smart meters) are being installed throughout electric networks in Europe and in the United States. The high-resolution energy consumption data which a...
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| creator | Greveler, U. Justus, B. Loehr, D. |
| description | Digital forensic investigators are facing challenging problems of finding clues and solving crimes involving digital data. Advanced metering devices (smart meters) are being installed throughout electric networks in Europe and in the United States. The high-resolution energy consumption data which are transmitted by some smart meters to the utility company allow identification and monitoring of equipment within consumers' homes. Our research shows that the analysis of the household's electricity usage profile at a 0.5s -1 sample rate permits identification of audiovisual content. By collecting a single household smart meter data over a period of one month, our forensic results also show that audiovisual content identification is not heavily obstructed by typical electric appliance activities in a household. |
| doi_str_mv | 10.1109/ICC.2012.6364822 |
| format | Conference Proceeding |
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Advanced metering devices (smart meters) are being installed throughout electric networks in Europe and in the United States. The high-resolution energy consumption data which are transmitted by some smart meters to the utility company allow identification and monitoring of equipment within consumers' homes. Our research shows that the analysis of the household's electricity usage profile at a 0.5s -1 sample rate permits identification of audiovisual content. 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Advanced metering devices (smart meters) are being installed throughout electric networks in Europe and in the United States. The high-resolution energy consumption data which are transmitted by some smart meters to the utility company allow identification and monitoring of equipment within consumers' homes. Our research shows that the analysis of the household's electricity usage profile at a 0.5s -1 sample rate permits identification of audiovisual content. By collecting a single household smart meter data over a period of one month, our forensic results also show that audiovisual content identification is not heavily obstructed by typical electric appliance activities in a household.</description><subject>Audiovisual Identification</subject><subject>Brightness</subject><subject>Correlation</subject><subject>Digital Forensics</subject><subject>Forensics</subject><subject>Motion pictures</subject><subject>Multimedia communication</subject><subject>Power demand</subject><subject>Privacy</subject><subject>Security</subject><subject>Smart Meters</subject><issn>1550-3607</issn><issn>1938-1883</issn><isbn>9781457720529</isbn><isbn>1457720523</isbn><isbn>9781457720536</isbn><isbn>1457720531</isbn><isbn>1457720515</isbn><isbn>9781457720512</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVz0tLAzEUBeD4AmvtXnAzf2DGm9xkkixlsFoouOm-5HFrR-xkmEkR_70O7cbVgfPBgcPYA4eKc7BPq6apBHBR1VhLI8QFW1htuFRaC1BYX7IZt2hKbgxe_TNhr_9MKSixBn3L7sbxE6Ya-YzJZRqoG9tQhNRl6nIRKVPIbeqKvB_S8WNf9OmbhsnH46Gf5J7d7NzXSItzztlm-bJp3sr1--uqeV6XreA6l4G4i0AavNTCWfIOpfPRRA3KCusVCDIUEYINHkHaHYBFYTWFiB5wzh5Psy0RbfuhPbjhZ3v-j7_eTUo-</recordid><startdate>20120101</startdate><enddate>20120101</enddate><creator>Greveler, U.</creator><creator>Justus, B.</creator><creator>Loehr, D.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>20120101</creationdate><title>Forensic content detection through power consumption</title><author>Greveler, U. ; Justus, B. ; Loehr, D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i217t-ce1ad0e70b472a9eba34abd8d705929b502e8ed30c9cb3049f0093297ecd3b03</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Audiovisual Identification</topic><topic>Brightness</topic><topic>Correlation</topic><topic>Digital Forensics</topic><topic>Forensics</topic><topic>Motion pictures</topic><topic>Multimedia communication</topic><topic>Power demand</topic><topic>Privacy</topic><topic>Security</topic><topic>Smart Meters</topic><toplevel>online_resources</toplevel><creatorcontrib>Greveler, U.</creatorcontrib><creatorcontrib>Justus, B.</creatorcontrib><creatorcontrib>Loehr, D.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Greveler, U.</au><au>Justus, B.</au><au>Loehr, D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Forensic content detection through power consumption</atitle><btitle>2012 IEEE International Conference on Communications (ICC)</btitle><stitle>ICC</stitle><date>2012-01-01</date><risdate>2012</risdate><spage>6759</spage><epage>6763</epage><pages>6759-6763</pages><issn>1550-3607</issn><eissn>1938-1883</eissn><isbn>9781457720529</isbn><isbn>1457720523</isbn><eisbn>9781457720536</eisbn><eisbn>1457720531</eisbn><eisbn>1457720515</eisbn><eisbn>9781457720512</eisbn><abstract>Digital forensic investigators are facing challenging problems of finding clues and solving crimes involving digital data. 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| identifier | ISSN: 1550-3607 |
| ispartof | 2012 IEEE International Conference on Communications (ICC), 2012, p.6759-6763 |
| issn | 1550-3607 1938-1883 |
| language | eng |
| recordid | cdi_ieee_primary_6364822 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Audiovisual Identification Brightness Correlation Digital Forensics Forensics Motion pictures Multimedia communication Power demand Privacy Security Smart Meters |
| title | Forensic content detection through power consumption |
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