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10.1016/j.cose.2020.101833 http://scihub22266oqcxt.onion/10.1016/j.cose.2020.101833 32501313!7252105!32501313     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Comput+Secur 2020 ; 94 (ä): 101833 Nephropedia Template TP {{tp|p=32501313|t=2020. What s really Happning ? A forensic analysis of Android and iOS Happn dating apps |pdf=|usr=}}{{32501313}} gab.com Text What s really Happning A forensic analysis of Android and iOS Happn dating apps JO: Comput Secur http://www.kidney.de/pget.php?&tw=1&pmid=32501313 #FOAvip With today's world revolving around online interaction, dating applications (apps) are a prime example of how people are able to discover and converse with others that may share similar interests or lifestyles, including during the recent COVID-19 lockdowns. To connect the users, geolocation is often utilized. However, with each new app comes the possibility of criminal exploitation. For example, while apps with geolocation feature are intended for users to provide personal information that drive their search to meet someone, that same information can be used by hackers or forensic analysts to gain access to personal data, albeit for different purposes. This paper examines the Happn dating app (versions 9.6.2, 9.7, and 9.8 for iOS devices, and versions 3.0.22 and 24.18.0 for Android devices), which geographically works differently compared to most notable dating apps by providing users with profiles of other users that might have passed by them or in the general radius of their location. Encompassing both iOS and Android devices along with eight varying user profiles with diverse backgrounds, this study aims to explore the potential for a malicious actor to uncover the personal information of another user by identifying artifacts that may pertain to sensitive user data. Twit Text FOAVip What s really Happning A forensic analysis of Android and iOS Happn dating apps ????Comput Secur http://www.kidney.de/pget.php?&tw=1&pmid=32501313 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32501313 #FOAvip English Wikipedia <ref>{{Cite pmid|32501313}}</ref> What s really Happning ? A forensic analysis of Android and iOS Happn dating apps #MMPMID32501313 Knox S; Moghadam S; Patrick K; Phan A; Choo KR Comput Secur 2020[Jul]; 94 (ä): 101833 PMID32501313show ga With today's world revolving around online interaction, dating applications (apps) are a prime example of how people are able to discover and converse with others that may share similar interests or lifestyles, including during the recent COVID-19 lockdowns. To connect the users, geolocation is often utilized. However, with each new app comes the possibility of criminal exploitation. For example, while apps with geolocation feature are intended for users to provide personal information that drive their search to meet someone, that same information can be used by hackers or forensic analysts to gain access to personal data, albeit for different purposes. This paper examines the Happn dating app (versions 9.6.2, 9.7, and 9.8 for iOS devices, and versions 3.0.22 and 24.18.0 for Android devices), which geographically works differently compared to most notable dating apps by providing users with profiles of other users that might have passed by them or in the general radius of their location. Encompassing both iOS and Android devices along with eight varying user profiles with diverse backgrounds, this study aims to explore the potential for a malicious actor to uncover the personal information of another user by identifying artifacts that may pertain to sensitive user data. äWhat s really Happning ? A forensic analysis of Android and iOS Happn(epmc).pdf DeepDyve Pubget Overpricing