04593nam 22007575 450 991029898900332120200703223528.03-319-07356-710.1007/978-3-319-07356-9(CKB)3710000000125836(EBL)1783038(SSID)ssj0001274323(PQKBManifestationID)11749270(PQKBTitleCode)TC0001274323(PQKBWorkID)11326246(PQKB)10197109(MiAaPQ)EBC1783038(DE-He213)978-3-319-07356-9(PPN)179764357(EXLCZ)99371000000012583620140609d2014 u| 0engur|n|---|||||txtccrPervasive Wireless Environments: Detecting and Localizing User Spoofing /by Jie Yang, Yingying Chen, Wade Trappe, Jerry Cheng1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (79 p.)SpringerBriefs in Computer Science,2191-5768Description based upon print version of record.1-322-13652-1 3-319-07355-9 Includes bibliographical references at the end of each chapters.Introduction -- Feasibility of Launching User Spoofing -- Attack Detection Model -- Detection and Localizing Multiple Spoofing Attackers.-Detecting Mobile Agents Using Identity Fraud -- Related Work -- Conclusions and Future Work.This Springer Brief provides a new approach to prevent user spoofing by using the physical properties associated with wireless transmissions to detect the presence of user spoofing. The most common method, applying cryptographic authentication, requires additional management and computational power that cannot be deployed consistently. The authors present the new approach by offering a summary of the recent research and exploring the benefits and potential challenges of this method. This brief discusses the feasibility of launching user spoofing attacks and their impact on the wireless and sensor networks. Readers are equipped to understand several system models. One attack detection model exploits the spatial correlation of received signal strength (RSS) inherited from wireless devices as a foundation. Through experiments in practical environments, the authors evaluate the performance of the spoofing attack detection model. The brief also introduces the DEMOTE system, which exploits the correlation within the RSS trace based on each device’s identity to detect mobile attackers. A final chapter covers future directions of this field. By presenting complex technical information in a concise format, this brief is a valuable resource for researchers, professionals, and advanced-level students focused on wireless network security.SpringerBriefs in Computer Science,2191-5768Computer securityComputer communication systemsComputersApplication softwareSystems and Data Securityhttps://scigraph.springernature.com/ontologies/product-market-codes/I28060Computer Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13022Information Systems and Communication Servicehttps://scigraph.springernature.com/ontologies/product-market-codes/I18008Information Systems Applications (incl. Internet)https://scigraph.springernature.com/ontologies/product-market-codes/I18040Computer security.Computer communication systems.Computers.Application software.Systems and Data Security.Computer Communication Networks.Information Systems and Communication Service.Information Systems Applications (incl. Internet).005.8Yang Jieauthttp://id.loc.gov/vocabulary/relators/aut859922Chen Yingyingauthttp://id.loc.gov/vocabulary/relators/autTrappe Wadeauthttp://id.loc.gov/vocabulary/relators/autCheng Jerryauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910298989003321Pervasive Wireless Environments: Detecting and Localizing User Spoofing1918836UNINA