LEADER 04118nam  22007575  450 
001 9910349472503321
005 20200703114858.0
010   $a9789811323126
010   $a981-13-2312-7
024 7 $a10.1007/978-981-13-2312-6
035   $a(CKB)4100000008525703
035   $a(MiAaPQ)EBC5504974
035   $a(DE-He213)978-981-13-2312-6
035   $a(PPN)229913903
035   $a(EXLCZ)994100000008525703
100   $a20180830d2018      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSecure Networked Inference with Unreliable Data Sources$b[electronic resource] /$fby Aditya Vempaty, Bhavya Kailkhura, Pramod K. Varshney
205   $a1st ed. 2018.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2018.
215   $a1 online resource (XIII, 208 p. 74 illus., 71 illus. in color.) 
311   $a981-13-2311-9 
327   $aChapter 1 Introduction -- Chapter 2 Conventional Inference theories -- Chapter 3 Distributed Detection in Networks -- Chapter 4 Distributed Estimation and Target Localization -- Chapter 5 Distributed Classification and Target Tracking -- Chapter 6 New Research Directions Discussion and conclusions.
330   $aThe book presents theory and algorithms for secure networked inference in the presence of Byzantines. It derives fundamental limits of networked inference in the presence of Byzantine data and designs robust strategies to ensure reliable performance for several practical network architectures. In particular, it addresses inference (or learning) processes such as detection, estimation or classification, and parallel, hierarchical, and fully decentralized (peer-to-peer) system architectures. Furthermore, it discusses a number of new directions and heuristics to tackle the problem of design complexity in these practical network architectures for inference.
606   $aComputer communication systems
606   $aComputer security
606   $aElectrical engineering
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aCoding theory
606   $aInformation theory
606   $aMathematical statistics
606   $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022
606   $aSystems and Data Security$3https://scigraph.springernature.com/ontologies/product-market-codes/I28060
606   $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aCoding and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15041
606   $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036
615  0$aComputer communication systems.
615  0$aComputer security.
615  0$aElectrical engineering.
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aCoding theory.
615  0$aInformation theory.
615  0$aMathematical statistics.
615 14$aComputer Communication Networks.
615 24$aSystems and Data Security.
615 24$aCommunications Engineering, Networks.
615 24$aSignal, Image and Speech Processing.
615 24$aCoding and Information Theory.
615 24$aProbability and Statistics in Computer Science.
676   $a004.6
700   $aVempaty$b Aditya$4aut$4http://id.loc.gov/vocabulary/relators/aut$0933173
702   $aKailkhura$b Bhavya$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aVarshney$b Pramod K$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910349472503321
996   $aSecure Networked Inference with Unreliable Data Sources$92100371
997   $aUNINA