{"id":"https://openalex.org/W7162764867","doi":"https://doi.org/10.1145/3745756.3809244","title":"SpecSentry: Micro-power Wideband Spectrum Surveillance for Ephemeral Transmissions","display_name":"SpecSentry: Micro-power Wideband Spectrum Surveillance for Ephemeral Transmissions","publication_year":2026,"publication_date":"2026-05-29","ids":{"openalex":"https://openalex.org/W7162764867","doi":"https://doi.org/10.1145/3745756.3809244"},"language":null,"primary_location":{"id":"doi:10.1145/3745756.3809244","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3745756.3809244","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th Annual International Conference on Mobile Systems, Applications and Services","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3745756.3809244","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107365905","display_name":"Aritrik Ghosh","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aritrik Ghosh","raw_affiliation_strings":["Computer Science, University of Maryland, College Park, College Park, Maryland, USA"],"raw_orcid":"https://orcid.org/0009-0009-4470-5014","affiliations":[{"raw_affiliation_string":"Computer Science, University of Maryland, College Park, College Park, Maryland, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084698041","display_name":"Nirupam Roy","orcid":"https://orcid.org/0000-0001-5261-7780"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nirupam Roy","raw_affiliation_strings":["Computer Science, University of Maryland, College Park, College Park, Maryland, USA"],"raw_orcid":"https://orcid.org/0000-0001-5261-7780","affiliations":[{"raw_affiliation_string":"Computer Science, University of Maryland, College Park, College Park, Maryland, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":19.5563,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.99189868,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"868","last_page":"882"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.5307999849319458,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.5307999849319458,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.07190000265836716,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11873","display_name":"PAPR reduction in OFDM","score":0.05719999969005585,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.7760000228881836},{"id":"https://openalex.org/keywords/geophone","display_name":"Geophone","score":0.5116000175476074},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.49779999256134033},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.3982999920845032},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.36559998989105225},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.3495999872684479},{"id":"https://openalex.org/keywords/spread-spectrum","display_name":"Spread spectrum","score":0.34439998865127563},{"id":"https://openalex.org/keywords/front-and-back-ends","display_name":"Front and back ends","score":0.34310001134872437}],"concepts":[{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.7760000228881836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6725000143051147},{"id":"https://openalex.org/C54187759","wikidata":"https://www.wikidata.org/wiki/Q361564","display_name":"Geophone","level":2,"score":0.5116000175476074},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5037999749183655},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.49779999256134033},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.42590001225471497},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.3982999920845032},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.36559998989105225},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3495999872684479},{"id":"https://openalex.org/C105344744","wikidata":"https://www.wikidata.org/wiki/Q958957","display_name":"Spread spectrum","level":3,"score":0.34439998865127563},{"id":"https://openalex.org/C53016008","wikidata":"https://www.wikidata.org/wiki/Q620167","display_name":"Front and back ends","level":2,"score":0.34310001134872437},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.3188999891281128},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.30630001425743103},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.29510000348091125},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C134652429","wikidata":"https://www.wikidata.org/wiki/Q1052698","display_name":"Jitter","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C76947770","wikidata":"https://www.wikidata.org/wiki/Q4533181","display_name":"Ephemeral key","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C2779338814","wikidata":"https://www.wikidata.org/wiki/Q5179285","display_name":"Covert","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2563999891281128}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3745756.3809244","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3745756.3809244","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th Annual International Conference on Mobile Systems, Applications and Services","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3745756.3809244","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3745756.3809244","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th Annual International Conference on Mobile Systems, Applications and Services","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.877353847026825}],"awards":[{"id":"https://openalex.org/G3885853460","display_name":null,"funder_award_id":"2238433","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1535719820","https://openalex.org/W1885779741","https://openalex.org/W1990711345","https://openalex.org/W2001392677","https://openalex.org/W2017612424","https://openalex.org/W2058074751","https://openalex.org/W2071707134","https://openalex.org/W2085773652","https://openalex.org/W2101281796","https://openalex.org/W2114129195","https://openalex.org/W2123448166","https://openalex.org/W2127624647","https://openalex.org/W2140884695","https://openalex.org/W2153461654","https://openalex.org/W2168785037","https://openalex.org/W2172139273","https://openalex.org/W2461924673","https://openalex.org/W2605049359","https://openalex.org/W2624801495","https://openalex.org/W2763396707","https://openalex.org/W2773170971","https://openalex.org/W2833339309","https://openalex.org/W2906219927","https://openalex.org/W2908993293","https://openalex.org/W2970033117","https://openalex.org/W3008153996","https://openalex.org/W3015847097","https://openalex.org/W3035433808","https://openalex.org/W3046987272","https://openalex.org/W3109500059","https://openalex.org/W3156008967","https://openalex.org/W3156091456","https://openalex.org/W3174507041","https://openalex.org/W3208550353","https://openalex.org/W4206133348","https://openalex.org/W4212929866","https://openalex.org/W4230482369","https://openalex.org/W4236428912","https://openalex.org/W4281769766","https://openalex.org/W4283030020","https://openalex.org/W4292259270","https://openalex.org/W4375851940","https://openalex.org/W4380925825","https://openalex.org/W4387227501","https://openalex.org/W4403628695","https://openalex.org/W4404039408","https://openalex.org/W4411403494","https://openalex.org/W4414760875","https://openalex.org/W4415715132","https://openalex.org/W4416473991"],"related_works":[],"abstract_inverted_index":{"Covert":[0],"radio-frequency":[1],"exfiltration":[2],"using":[3],"short,":[4],"low-duty-cycle":[5],"transmissions":[6,197],"highlights":[7],"the":[8,110,124,137,162,168,171],"need":[9],"for":[10,31,36,161,167,188],"continuous,":[11],"low-latency":[12],"spectrum":[13],"monitoring":[14,186],"capable":[15],"of":[16,101,158,170],"capturing":[17],"fleeting":[18],"emissions.":[19],"Modern":[20],"RF":[21,111],"environments":[22],"increasingly":[23],"feature":[24],"bursty,":[25],"opportunistic":[26],"signals":[27],"that":[28,55,88],"appear":[29],"only":[30],"milliseconds,":[32],"making":[33],"them":[34],"difficult":[35],"traditional":[37],"receivers":[38],"to":[39,149],"detect.":[40],"Conventional":[41],"wideband":[42,90],"sensing":[43],"architectures":[44],"depend":[45],"on":[46],"high-speed":[47],"ADCs,":[48],"local":[49],"oscillators":[50],"(LO),":[51],"and":[52,61,79,122,164,191],"mixer":[53],"chains":[54],"draw":[56],"significant":[57],"power,":[58],"while":[59,92],"swept-LO":[60],"sequential":[62],"scanning":[63],"approaches":[64],"suffer":[65],"from":[66],"limited":[67],"real-time":[68],"visibility.":[69],"Parallel":[70],"filter-bank":[71],"designs":[72],"improve":[73],"instantaneous":[74],"coverage":[75],"but":[76],"remain":[77],"bulky":[78],"energy-intensive.":[80],"We":[81],"present":[82],"SpecSentry,":[83],"a":[84,105,127,174],"low-power":[85],"spectrum-monitoring":[86],"architecture":[87],"maintains":[89],"visibility":[91],"reducing":[93],"analog":[94],"complexity":[95],"by":[96],"more":[97,133],"than":[98,134],"an":[99],"order":[100],"magnitude.":[102],"SpecSentry":[103],"implements":[104],"\"mark-fold-capture-detect\"":[106],"workflow":[107],"in":[108],"which":[109],"front":[112],"end":[113],"passively":[114],"imprints":[115],"frequency-dependent":[116],"codes":[117],"onto":[118],"any":[119],"active":[120],"signal":[121,152],"folds":[123],"result":[125],"into":[126],"compact":[128],"representation":[129],"sampled":[130],"at":[131],"rates":[132],"20\u00d7":[135],"below":[136],"Nyquist":[138],"rate.":[139],"A":[140],"two-stage":[141],"neural":[142],"regression":[143],"pipeline":[144],"analyzes":[145],"this":[146],"compressed":[147],"snapshot":[148],"infer":[150],"key":[151],"characteristics,":[153],"achieving":[154],"median":[155],"detection":[156],"errors":[157],"0.3":[159],"MHz":[160,166,176],"bandwidth":[163],"7.89":[165],"center-frequency":[169],"transmission":[172],"over":[173],"400":[175],"band.":[177],"This":[178],"hybrid":[179],"analog-ML":[180],"design":[181],"enables":[182],"persistent,":[183],"wideband,":[184],"ultra-low-power":[185],"suited":[187],"mobile,":[189],"unattended,":[190],"maintenance-free":[192],"deployments":[193],"where":[194],"detecting":[195],"ephemeral":[196],"is":[198],"essential.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-30T00:00:00"}
