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Developing a PP for Smart TV 
Security Analysis aNd Evaluation(SANE) Lab. 
ICCC 2014 
Minsu Park*, Heesoo Kang, Jaeki Kim, Seungjin Lee, Seungjoo Kim** 
minsoon2@korea.ac.kr, kukulux@gmail.com, jack2@korea.ac.kr, beist@grayhash.com, skim71@korea.ac.kr CIST (Center for Information Security Technologies), Korea University *1st Author, **Corresponding Author
2 
Author 
Minsu Park 
E-mail : minsoon2@korea.ac.kr 
Facebook : @bucktae 
Minsu Park received his B.S degree in Computer Network from Silla University of Korea, in 2010 and also received his M.S degree in Information Security from Korea University of Korea, in 2013. He is currently working toward the Ph.D. degree in In-formation Security, Korea University, Korea. His research interests include Information Assurance, IoT Security, Digital Forensic and Usable Security.
3 
Author 
Heesoo Kang 
E-mail : kukulux@gmail.com 
Facebook : @kukulux 
Heesoo Kang received his B.S. (2013) in computer science from Chung Ang University in Korea. Now he is enroll in the M.S. at Korea University. His research interests include smart device security, security evaluation, and mobile security. 
Jaeki Kim 
E-mail : jack2@korea.ac.kr 
Facebook : @2runjack2 
Jaeki Kim received his B.S. (2013) in Computer Engineering from Hanyang University ERICA in Korea. and, He served as Security Technology Team of the INetCop for 1 years. also, He participated a program for the training next-generation's best IT security leaders, called 'Best of the Best' 2nd (2013). His research interests include Android Security and Embedded devices Security. He is now a graduate student at CIST SANE LAB, Korea University.
4 
Author 
SeungJin Lee 
E-mail : beist@grayhash.com 
Twitter : @beist 
Facebook : @beistlab 
SeungJin Lee has been a member of the IT security field since 2000. His first company was Cyber Research based in Seoul, South Korea and first focused on pen-testing. He then got a Computer Engineering B.A. degree from Sejong University. He has won more than 10 global CTF hacking contests in his country as well as passed DefCon quals 5 times. He has sold his research to major security companies like iDefense and ZDI (Recon ZDI contest). He has run numerous security conferences and hacking contests in Korea. Hunting bugs and exploiting them are his main interest. He does consulting for big companies in Korea and is now a graduate student at CIST SANE LAB, Korea University.
5 
Author 
Seungjoo Kim 
E-mail : skim71@korea.ac.kr 
Homepage : www.kimlab.net 
Facebook, Twitter : @skim71 
Prof. Seungjoo Kim received his B.S., M.S. and Ph.D. from Sungkyunkwan University (SKKU) of Korea, in 1994, 1996 and 1999, respectively. Prior to joining the faculty at Korea University (KU) in 2011, He served as Assistant & Associate Professor at SKKU for 7 years. Before that, He served as Director of the Cryptographic Technology Team and the (CC-based) IT Security Evaluation Team of the Korea Internet & Security Agency (KISA) for 5 years. He is currently a Professor in the Graduate School of Information Security Technologies (CIST). Also, He is a Founder and Advisory director of a hacker group, HARU and an international security & hacking conference, SECUINSIDE. Prof. Seungjoo Kim’s research interests are mainly on cryptography, Cyber Physical Security, IoT Security, and HCI Security. He is a corresponding author.
6 
Acknowledgement 
This work was supported by the ICT R&D program of MSIP/IITP. [2014(10043959), Development of EAL4 level military fusion security solution for protecting against unauthorized accesses and ensuring a trusted execution environment in mobile devices]
7 
Contents 
Smart TV 
Smart TV Security 
TOE 
Smart TV Threat Analysis 
Smart TV SFR 
Conclusion 
Reference
8 
Smart TV 
Television set with integrated Internet capabilities
9 
Smart TV 
Property 
IPTV 
Smart TV 
Transmission 
Media 
Premium networks 
General Internet 
QoS 
(Quality of Service) 
Guarantee 
Difficult to guarantee 
Real-time broadcasting 
O 
O 
Web Surfing 
△ 
O 
Type 
Closed 
Open 
Smart TV is different to existing TV
10 
Smart TV 
Lots of H/W devices. (Network Device, CPU, ETC) 
Act like Computer
11 
Smart TV Security 
Several vulnerabilities are found. 
Unencrypted 
Network packet 
Malicious 
Media file 
Browser 
Vulnerability 
Private data 
leakage 
Remote-control App 
Daemon 
Kernel Vulnerability
12 
Smart TV Security 
But, How to check security assessment ? 
?
13 
Smart TV Security 
So, We need to make security assessment. 
!
14 
TOE 
SMART TV 
TOE
15 
Smart TV Threat Analysis 
Title 
Jounal / Conference 
Author 
Smart TV Hacking: Crash Testing Your Home Entertainment 
Codenomicon 
Technical report (2012) 
R Kuipers, E Starck, 
H Heikkinen 
SmartTV Security - For Fun and NonProfit 
TrustWave (2012) 
Joaquim Espinhara, 
Ulisses Albuquerque 
Hacking, surveilling and deceiving victims on Smart TV 
Blackhat USA (2013) 
SeungJin Lee, 
Seungjoo Kim 
Smart TV Hacking (Research Project 1) 
University of Amsterdam (2013) 
Nikos Sidiropoulos, 
Periklis Stefopoulos 
HOW HACKERS ARE OUTSMARTING SMART TV’S AND WHY IT 
MATTERS TO YOU 
RSA Conference EUROPE (2013) 
Raimund Genes 
The Outer Limits: Hacking A Smart TV 
Toorcon 15 (2013) 
Aaron Grattafiori 
Watch and be Watched: Compromising All Smart TV Generations 
CCNC. IEEE. (2014) 
B Michéle, A Karpow 
Approach of Secure Smart-TV authentication using extended API 
Life Science Journal 11.7s ( 2014) 
JK Moon, JM Kim, 
BH Hong 
Forensic analysis of smart TV: A current issue and call to arms 
Digital Investigation 
Sutherland, Iain, 
Huw Read, 
Konstantinos Xynos 
A Review of Smart TV Forensics: Present State & Future Challenges 
DIPECC2013 
Al Falayleh, Mousa 
Study on smart TV Forensics 
KIISC 
Heesoo Kang, 
Minsu Park, 
Seungjoo Kim 
Related Works
16 
Smart TV Threat Analysis 
CVE Database 
Latest Threats 
from Papers, Articles, Blog 
SDK 
H/W 
OS
17 
Smart TV Threat Analysis 
CVE Database 
1 
3 
2 
127 
908 
43 
Latest Threats from Papers, Articles, Blog 
SDK (129) 
Smart TV Vulnerabilities 
OS (911) 
H/W (44)
18 
Smart TV Threat Analysis 
TOE 
Threats 
CVE 
SDK 
T.UNAUTHORIZED_APP 
T.UNAUTHORIZED_UPDATE 
129 
OS 
T.NETWORK_EAVESDROP 
T.NETWORK_ATTACK 
T.PERSISTENT_ACCESS 
T.UNAUTHORIZED_UPDATE 
T.PUBLIC_DATA_ACCESS 
T.PRIVATE_DATA_ACCESS 
911 
H/W 
T.PHYSICAL_ATTACK 
44
19 
Smart TV Threat Analysis
20 
Property 
Smart TV 
Smart phone 
Laptop 
Similar to Computer 
O 
O 
O 
Store 
private data 
O 
O 
O 
Support SDK & User Application 
O 
O 
X 
Contain Network Module 
O 
△ (not support Ethernet) 
O 
External Input 
O 
O 
O 
Smart TV SFR 
And Smart TV use web platform. 
Smart TV is similar to Smart phone, Laptop
21 
Mobile Device PP 
Web Browser PP 
Laptop PP 
Consider following protection profiles. 
Smart TV SFR
22 
Mobile Device PP 
Web Browser PP 
Laptop PP 
Smart TV SFR 
We couldn’t find Laptop PP.
23 
Smart TV SFR 
SDK (129) 
Smart TV Vulnerabilities 
OS (911) 
H/W (44) 
0 
249 
0 
67 
627 
10 
Mobile Device PP 
Web Browser PP
24 
Smart TV SFR 
65% 
23% 
Mobile Device PP 
Web Browser PP 
Smart TV vulnerabilities 
Mobile Device PP can remove 65% of Smart TV CVE. 
Web Browser PP can remove 23% of Smart TV CVE.
25 
Smart TV SFR 
Category 
Explanation 
Permission 
CVEs caused by improper permission check. 
Improper Data 
CVEs caused by garbage, malicious data, Etc. 
DoS 
CVEs caused by excessive request. 
Error Handling 
CVEs caused by mishandled error. 
Resource Management 
CVEs caused by memory consumption, deadlock, ETC. 
Buffer Overflow 
CVEs caused by Buffer Overflow attack. 
Crafted App 
CVEs caused by crafted application 
Sensitive Data disclosure 
CVEs caused by insufficient protection for sensitive data 
Authentication 
CVEs caused by weak authentication mechanism 
Arbitrary Code 
CVEs caused by arbitrary code from remote attacker
26 
Smart TV SFR 
Web Browser PP 
Mobile Device PP 
Smart TV vulnerabilities 
DoS 
Crafted App 
Buffer Overflow 
Sensitive data disclosure 
Authentication 
Arbitrary code 
Error handling 
Resource Management 
Improper Data 
Permission
27 
Smart TV SFR 
TOE 
Threats 
SFR 
SDK 
T.UNAUTHORIZED_APP 
T.UNAUTHORIZED_UPDATE 
FAU_GEN.1, FAU_SEL.1, FAU_STG_EXT.1, FPT_AEX_EXT.2, FPT_AEX_EXT.3, FPT_AEX_EXT.4, FPT_BBD_EXT.1… 
OS 
T.NETWORK_EAVESDROP 
T.NETWORK_ATTACK 
T.PERSISTENT_ACCESS 
T.UNAUTHORIZED_UPDATE 
T.PUBLIC_DATA_ACCESS 
T.PRIVATE_DATA_ACCESS 
FPT_AEX_EXT.2, FPT_AEX_EXT.3, FPT_AEX_EXT.4, FPT_BBD_EXT.1, 
FCS_CKM_EXT.1, FCS_CKM_EXT.2, FCS_CKM_EXT.3, FCS_CKM_EXT.4, FCS_DTLS_EXT.1, FCS_HTTPS_EXT.1, 
FMT_MOF.1(*), FMT_POL_EXT.1, FMT_SMF.1, FMT_SMF_EXT.1, FRU_RSA.1, FDP_IFC.1, FPT_FLS.1, FMT_MTD.1, FMT_MTD.2… 
H/W 
T.PHYSICAL_ATTACK 
FTP_ITC_EXT.1, FAU_STG_EXT.1..
28 
Smart TV SFR
29 
Conclusion 
Previous PP can not solve to Smart TV Security 
So Smart TV need extended SFR to remove all of the CVE 
In the Future, we will research about Protection Profile for various Smart CE
30 
Thank you 
minsoon2@korea.ac.kr
31 
Reference 
1.Kuipers, Rikke, Eeva Starck, and Hannu Heikkinen. "Smart TV Hacking: Crash Testing Your Home Entertainment." http://www.codenomicon.com/resources/whitepapers/codenomicon-wp-smart-tv-fuzzing.pdf, 2012. 
2.Joaquim Espinhara, Ulisses Albuquerque jespinhara. "SmartTV Security for Fun & Non-Profit." Silver Bullet 2012. 
3.SeungJin Lee, Seungjoo Kim. "Hacking, surveilling and deceiving victims on Smart TV." Blackhat USA 2013. 
4.Nikos Sidiropoulos, Periklis Stefopoulos. "Smart TV Hacking (Research Project 1)." University of Amsterdam, 2013. 
5.Raimund Genes. "HOW HACKERS ARE OUTSMARTING SMART TV’S AND WHY IT MATTERS TO YOU", RSA Conference EUROPE, 2013. 
6.Grattafiori. "The Outer Limits: Hacking A Smart TV." Toorcon 15, 2013. 
7.Michéle. Benjamin, and Andrew Karpow. "Watch and be Watched: Compromising All Smart TV Generations." Proceedings of the 11th Consumer Communications Networking Conference (to appear), CCNC. IEEE. 2014. 
8.Moon, Jeong-Kyung, Jin-Mook Kim, and Bong-Hwa Hong. "Approach of Secure Smart TV authentication using extended API." Life Science Journal 11.7s, 2014. 
9.Sutherland, Iain, Huw Read, and Konstantinos Xynos. "Forensic analysis of smart TV: A current issue and call to arms." Digital Investigation 2014. 
10.Al Falayleh, Mousa. "A Review of Smart TV Forensics: Present State & Future Challenges." The International Conference on Digital Information Processing, E-Business and Cloud Computing (DIPECC2013). The Society of Digital Information and Wireless Communication, 2013. 
11.Common Criteria Recognition Arrangement, "Common Criteria for Information Technology Security Evaluation Version 3.1 Revision 4", Sep. 2012. 
12.Protection Profile for Mobile Device Fundamentals. Version 1.1, 2014. 
13.Protection Profile for Web Browsers. Version 1.0, 2014. 
14.CVE - Common Vulnerabilities and Exposures (CVE) Web page, https://cve.mitre.org. 
15.CVE security vulnerability database. Security vulnerabilities datasource Web page, http://www.cvedetails.com.

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Developing a Protection Profile for Smart TV

  • 1. Developing a PP for Smart TV Security Analysis aNd Evaluation(SANE) Lab. ICCC 2014 Minsu Park*, Heesoo Kang, Jaeki Kim, Seungjin Lee, Seungjoo Kim** minsoon2@korea.ac.kr, kukulux@gmail.com, jack2@korea.ac.kr, beist@grayhash.com, skim71@korea.ac.kr CIST (Center for Information Security Technologies), Korea University *1st Author, **Corresponding Author
  • 2. 2 Author Minsu Park E-mail : minsoon2@korea.ac.kr Facebook : @bucktae Minsu Park received his B.S degree in Computer Network from Silla University of Korea, in 2010 and also received his M.S degree in Information Security from Korea University of Korea, in 2013. He is currently working toward the Ph.D. degree in In-formation Security, Korea University, Korea. His research interests include Information Assurance, IoT Security, Digital Forensic and Usable Security.
  • 3. 3 Author Heesoo Kang E-mail : kukulux@gmail.com Facebook : @kukulux Heesoo Kang received his B.S. (2013) in computer science from Chung Ang University in Korea. Now he is enroll in the M.S. at Korea University. His research interests include smart device security, security evaluation, and mobile security. Jaeki Kim E-mail : jack2@korea.ac.kr Facebook : @2runjack2 Jaeki Kim received his B.S. (2013) in Computer Engineering from Hanyang University ERICA in Korea. and, He served as Security Technology Team of the INetCop for 1 years. also, He participated a program for the training next-generation's best IT security leaders, called 'Best of the Best' 2nd (2013). His research interests include Android Security and Embedded devices Security. He is now a graduate student at CIST SANE LAB, Korea University.
  • 4. 4 Author SeungJin Lee E-mail : beist@grayhash.com Twitter : @beist Facebook : @beistlab SeungJin Lee has been a member of the IT security field since 2000. His first company was Cyber Research based in Seoul, South Korea and first focused on pen-testing. He then got a Computer Engineering B.A. degree from Sejong University. He has won more than 10 global CTF hacking contests in his country as well as passed DefCon quals 5 times. He has sold his research to major security companies like iDefense and ZDI (Recon ZDI contest). He has run numerous security conferences and hacking contests in Korea. Hunting bugs and exploiting them are his main interest. He does consulting for big companies in Korea and is now a graduate student at CIST SANE LAB, Korea University.
  • 5. 5 Author Seungjoo Kim E-mail : skim71@korea.ac.kr Homepage : www.kimlab.net Facebook, Twitter : @skim71 Prof. Seungjoo Kim received his B.S., M.S. and Ph.D. from Sungkyunkwan University (SKKU) of Korea, in 1994, 1996 and 1999, respectively. Prior to joining the faculty at Korea University (KU) in 2011, He served as Assistant & Associate Professor at SKKU for 7 years. Before that, He served as Director of the Cryptographic Technology Team and the (CC-based) IT Security Evaluation Team of the Korea Internet & Security Agency (KISA) for 5 years. He is currently a Professor in the Graduate School of Information Security Technologies (CIST). Also, He is a Founder and Advisory director of a hacker group, HARU and an international security & hacking conference, SECUINSIDE. Prof. Seungjoo Kim’s research interests are mainly on cryptography, Cyber Physical Security, IoT Security, and HCI Security. He is a corresponding author.
  • 6. 6 Acknowledgement This work was supported by the ICT R&D program of MSIP/IITP. [2014(10043959), Development of EAL4 level military fusion security solution for protecting against unauthorized accesses and ensuring a trusted execution environment in mobile devices]
  • 7. 7 Contents Smart TV Smart TV Security TOE Smart TV Threat Analysis Smart TV SFR Conclusion Reference
  • 8. 8 Smart TV Television set with integrated Internet capabilities
  • 9. 9 Smart TV Property IPTV Smart TV Transmission Media Premium networks General Internet QoS (Quality of Service) Guarantee Difficult to guarantee Real-time broadcasting O O Web Surfing △ O Type Closed Open Smart TV is different to existing TV
  • 10. 10 Smart TV Lots of H/W devices. (Network Device, CPU, ETC) Act like Computer
  • 11. 11 Smart TV Security Several vulnerabilities are found. Unencrypted Network packet Malicious Media file Browser Vulnerability Private data leakage Remote-control App Daemon Kernel Vulnerability
  • 12. 12 Smart TV Security But, How to check security assessment ? ?
  • 13. 13 Smart TV Security So, We need to make security assessment. !
  • 14. 14 TOE SMART TV TOE
  • 15. 15 Smart TV Threat Analysis Title Jounal / Conference Author Smart TV Hacking: Crash Testing Your Home Entertainment Codenomicon Technical report (2012) R Kuipers, E Starck, H Heikkinen SmartTV Security - For Fun and NonProfit TrustWave (2012) Joaquim Espinhara, Ulisses Albuquerque Hacking, surveilling and deceiving victims on Smart TV Blackhat USA (2013) SeungJin Lee, Seungjoo Kim Smart TV Hacking (Research Project 1) University of Amsterdam (2013) Nikos Sidiropoulos, Periklis Stefopoulos HOW HACKERS ARE OUTSMARTING SMART TV’S AND WHY IT MATTERS TO YOU RSA Conference EUROPE (2013) Raimund Genes The Outer Limits: Hacking A Smart TV Toorcon 15 (2013) Aaron Grattafiori Watch and be Watched: Compromising All Smart TV Generations CCNC. IEEE. (2014) B Michéle, A Karpow Approach of Secure Smart-TV authentication using extended API Life Science Journal 11.7s ( 2014) JK Moon, JM Kim, BH Hong Forensic analysis of smart TV: A current issue and call to arms Digital Investigation Sutherland, Iain, Huw Read, Konstantinos Xynos A Review of Smart TV Forensics: Present State & Future Challenges DIPECC2013 Al Falayleh, Mousa Study on smart TV Forensics KIISC Heesoo Kang, Minsu Park, Seungjoo Kim Related Works
  • 16. 16 Smart TV Threat Analysis CVE Database Latest Threats from Papers, Articles, Blog SDK H/W OS
  • 17. 17 Smart TV Threat Analysis CVE Database 1 3 2 127 908 43 Latest Threats from Papers, Articles, Blog SDK (129) Smart TV Vulnerabilities OS (911) H/W (44)
  • 18. 18 Smart TV Threat Analysis TOE Threats CVE SDK T.UNAUTHORIZED_APP T.UNAUTHORIZED_UPDATE 129 OS T.NETWORK_EAVESDROP T.NETWORK_ATTACK T.PERSISTENT_ACCESS T.UNAUTHORIZED_UPDATE T.PUBLIC_DATA_ACCESS T.PRIVATE_DATA_ACCESS 911 H/W T.PHYSICAL_ATTACK 44
  • 19. 19 Smart TV Threat Analysis
  • 20. 20 Property Smart TV Smart phone Laptop Similar to Computer O O O Store private data O O O Support SDK & User Application O O X Contain Network Module O △ (not support Ethernet) O External Input O O O Smart TV SFR And Smart TV use web platform. Smart TV is similar to Smart phone, Laptop
  • 21. 21 Mobile Device PP Web Browser PP Laptop PP Consider following protection profiles. Smart TV SFR
  • 22. 22 Mobile Device PP Web Browser PP Laptop PP Smart TV SFR We couldn’t find Laptop PP.
  • 23. 23 Smart TV SFR SDK (129) Smart TV Vulnerabilities OS (911) H/W (44) 0 249 0 67 627 10 Mobile Device PP Web Browser PP
  • 24. 24 Smart TV SFR 65% 23% Mobile Device PP Web Browser PP Smart TV vulnerabilities Mobile Device PP can remove 65% of Smart TV CVE. Web Browser PP can remove 23% of Smart TV CVE.
  • 25. 25 Smart TV SFR Category Explanation Permission CVEs caused by improper permission check. Improper Data CVEs caused by garbage, malicious data, Etc. DoS CVEs caused by excessive request. Error Handling CVEs caused by mishandled error. Resource Management CVEs caused by memory consumption, deadlock, ETC. Buffer Overflow CVEs caused by Buffer Overflow attack. Crafted App CVEs caused by crafted application Sensitive Data disclosure CVEs caused by insufficient protection for sensitive data Authentication CVEs caused by weak authentication mechanism Arbitrary Code CVEs caused by arbitrary code from remote attacker
  • 26. 26 Smart TV SFR Web Browser PP Mobile Device PP Smart TV vulnerabilities DoS Crafted App Buffer Overflow Sensitive data disclosure Authentication Arbitrary code Error handling Resource Management Improper Data Permission
  • 27. 27 Smart TV SFR TOE Threats SFR SDK T.UNAUTHORIZED_APP T.UNAUTHORIZED_UPDATE FAU_GEN.1, FAU_SEL.1, FAU_STG_EXT.1, FPT_AEX_EXT.2, FPT_AEX_EXT.3, FPT_AEX_EXT.4, FPT_BBD_EXT.1… OS T.NETWORK_EAVESDROP T.NETWORK_ATTACK T.PERSISTENT_ACCESS T.UNAUTHORIZED_UPDATE T.PUBLIC_DATA_ACCESS T.PRIVATE_DATA_ACCESS FPT_AEX_EXT.2, FPT_AEX_EXT.3, FPT_AEX_EXT.4, FPT_BBD_EXT.1, FCS_CKM_EXT.1, FCS_CKM_EXT.2, FCS_CKM_EXT.3, FCS_CKM_EXT.4, FCS_DTLS_EXT.1, FCS_HTTPS_EXT.1, FMT_MOF.1(*), FMT_POL_EXT.1, FMT_SMF.1, FMT_SMF_EXT.1, FRU_RSA.1, FDP_IFC.1, FPT_FLS.1, FMT_MTD.1, FMT_MTD.2… H/W T.PHYSICAL_ATTACK FTP_ITC_EXT.1, FAU_STG_EXT.1..
  • 28. 28 Smart TV SFR
  • 29. 29 Conclusion Previous PP can not solve to Smart TV Security So Smart TV need extended SFR to remove all of the CVE In the Future, we will research about Protection Profile for various Smart CE
  • 30. 30 Thank you minsoon2@korea.ac.kr
  • 31. 31 Reference 1.Kuipers, Rikke, Eeva Starck, and Hannu Heikkinen. "Smart TV Hacking: Crash Testing Your Home Entertainment." http://www.codenomicon.com/resources/whitepapers/codenomicon-wp-smart-tv-fuzzing.pdf, 2012. 2.Joaquim Espinhara, Ulisses Albuquerque jespinhara. "SmartTV Security for Fun & Non-Profit." Silver Bullet 2012. 3.SeungJin Lee, Seungjoo Kim. "Hacking, surveilling and deceiving victims on Smart TV." Blackhat USA 2013. 4.Nikos Sidiropoulos, Periklis Stefopoulos. "Smart TV Hacking (Research Project 1)." University of Amsterdam, 2013. 5.Raimund Genes. "HOW HACKERS ARE OUTSMARTING SMART TV’S AND WHY IT MATTERS TO YOU", RSA Conference EUROPE, 2013. 6.Grattafiori. "The Outer Limits: Hacking A Smart TV." Toorcon 15, 2013. 7.Michéle. Benjamin, and Andrew Karpow. "Watch and be Watched: Compromising All Smart TV Generations." Proceedings of the 11th Consumer Communications Networking Conference (to appear), CCNC. IEEE. 2014. 8.Moon, Jeong-Kyung, Jin-Mook Kim, and Bong-Hwa Hong. "Approach of Secure Smart TV authentication using extended API." Life Science Journal 11.7s, 2014. 9.Sutherland, Iain, Huw Read, and Konstantinos Xynos. "Forensic analysis of smart TV: A current issue and call to arms." Digital Investigation 2014. 10.Al Falayleh, Mousa. "A Review of Smart TV Forensics: Present State & Future Challenges." The International Conference on Digital Information Processing, E-Business and Cloud Computing (DIPECC2013). The Society of Digital Information and Wireless Communication, 2013. 11.Common Criteria Recognition Arrangement, "Common Criteria for Information Technology Security Evaluation Version 3.1 Revision 4", Sep. 2012. 12.Protection Profile for Mobile Device Fundamentals. Version 1.1, 2014. 13.Protection Profile for Web Browsers. Version 1.0, 2014. 14.CVE - Common Vulnerabilities and Exposures (CVE) Web page, https://cve.mitre.org. 15.CVE security vulnerability database. Security vulnerabilities datasource Web page, http://www.cvedetails.com.