000			nam a22 4500
999			_c33098 _d33098
008			240319b xxu||||| |||| 00| 0 eng d
020			_a9788770228619
082			_a005.8 _bSOD
100			_aSodagari, Shabnam
245			_aPrivacy and security for mobile crowdsourcing
260			_bRiver Publisher, _c2023 _aNew York :
300			_axvii, 123 p. ; _biil. (some col.), _c24 cm
365			_b94.99 _c₤ _d109.40
490			_aRiver Publishers series in digital security and forensics
504			_aIncludes index.
520			_aThis concise guide to mobile crowdsourcing and crowdsensing vulnerabilities and countermeasures walks readers through a series of examples, discussions, tables, initiative figures, and diagrams to present to them security and privacy foundations and applications. Discussed approaches help build intuition to apply these concepts to a broad range of system security domains toward dimensioning of next generations of mobiles crowdsensing applications. This book offers vigorous techniques as well as new insights for both beginners and seasoned professionals. It reflects on recent advances and research achievements. Technical topics discussed in the book include but are not limited to: ⁰́Ø Risks affecting crowdsensing platforms ⁰́Ø Spatio-temporal privacy of crowdsourced applications ⁰́Ø Differential privacy for data mining crowdsourcing ⁰́Ø Blockchain-based crowdsourcing ⁰́Ø Secure wireless mobile crowdsensing. This book is accessible to readers in mobile computer/communication industries as well as academic staff and students in computer science, electrical engineering, telecommunication systems, business information systems, and crowdsourced mobile app developers.
650			_aSecurity
650			_aTelecommunications
650			_aHuman computation
650			_aWi-Fi sharing
650			_aFake news
650			_aMisinformation Thwarted
650			_aRobust Incentive Mecanisms
650			_ak-Anonymity cloaking
942			_2ddc _cBK