Behavioral biometric verification of student identity in online course assessment and authentication of authors in literary works

IEEE 6th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2013

Volumn , Issue , 2013, Pages

  Monaco, John V ^a   Stewart, John C ^a   Cha, Sung Hyuk ^a   Tappert, Charles C ^a  

^a PACE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMETRICS; ONLINE SYSTEMS; STUDENTS;

BEHAVIORAL BIOMETRICS; BIOMETRIC VERIFICATION; HIGHER EDUCATION; HIGHER LEARNING; IDENTIFICATION TECHNOLOGY; ON-LINE EXAMINATIONS; PERFORMANCE STATISTICS; UNIVERSITY COURSE;

E-LEARNING;

EID: 84893807924     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BTAS.2013.6712743     Document Type: Conference Paper

References (55)

1. S.S. Bender and H.J. Postley. Key sequence rhythm recognition system and method. U.S. Patent 7, 206, 938, 2007.
2. F. Bergadano, D. Gunetti, and C. Picardi. User authentication through keystroke dynamics. ACM Trans. Info. & System Security, 5(4): 367-397, 2002.
3. S. Bergsma, M. Post, and D. Yarowsky. Stylometric analysis of scientific articles. Conf. North Am. Chap. Assoc. Comp.Ling: Human Language Tech. Assoc. Comp. Ling., PA, 327-337, 2012.
4. R. Bolle, J. Connell, S. Pankanti, N. Ratha, and A. Senior. Guide to biometrics. NY: Springer, 2004.
5. J. Ferreira and H. Santos. Keystroke dynamics for continuous access control enforcement. Proc. Int.Conf. on Cyber-Enabled Distributed Computing and Knowledge Discovery, 216-223, 2012.
6. E. Flior and K.Kowalski. Continuous biometric user authentication in online examinations. Proc. 7th Int. Conf. Info. Tech.: New Generations. IEEE Computer Society, Wash. DC, 488-492, 2012.
7. R.Giot, M. El-Abed, and C. Rosenberger. Keystroke dynamics with low constraints svm based passphrase enrollment. Proc. IEEE Int. Conf. Biometrics: Theory, Applications, and Systems (BTAS), 2009.
8. D. Gunetti and C. Picardi. Keystroke analysis of free text. ACM Trans. Info. and System Security, 8(3):312-347, 2005. (Pubitemid 43906388)
9. Higher Education Opportunity Act (HEOA) of 2008. http://www2.ed.gov/ policy/highered/leg/hea08/index.html, accessed May 2012.
10. L. Jin, X Ke, R. Manuel, and M. Wilkerson. Keystroke dynamics: A software based biometric solution. In 13th USENIX Security Symposium, 2004.
11. J. Leggett, G. Williams, M. Usnick, and M. Longnecker. Dynamic identity verification via keystroke characteristics. Int. J. Man Machine Studies, 35(6): 859-870, 1991.
12. A. Messerman, T. Mustafic, S. Camtepe, and S. Albayrak. Continuous and non-intrusive identity verification in real-time environments based on free-text keystroke dynamics. Proc. Int. Joint Conf. Biometrics (IJCB 2011), Wash. D.C., 2011.
13. J.V. Monaco, N. Bakelman, S.-H. Cha, and C.C. Tappert. Recent advances in the development of a long-text-input keystroke biometric authentication system for arbitrary test input. Proc. Euro. Intelligence and Security Informatics Conf. (EISIC), Sweden, 2013.
14. F. Montrose, M.K. Reiter, and S. Wetzel. Password hardening based on keystroke dynamics. Int. J. Info. Security, 1(2): 69-83, 2002.
15. K. Revett. Chap 4: Keystroke dynamics, 73-136. in Behavioral Biometrics: A Remote Access Approach, Wiley, 2008.
16. R. N. Rodrigues, G.F.G. Yared, C.R. Costa, J.B.T. Yabu-Uti, F. Violaro, and L.L. Ling. Biometric access control through numerical keyboards based on keystroke dynamics. Lecture Notes Comp.Sci., 3832: 640-646, 2006.
17. T. Shimshon, R. Moskovitch, L. Rokach, and Y. Elo, vici. Continuous verification using keystroke dynamics. Proc. Int. Conf. Comp. Intel. and Security. IEEE Computer Soc., Washington, DC, 411-415, 2010.
18. E. Stamatatos. A survey of modern authorship attribution methods. J. Am. Soc. Info. Science and Tech., 60(3): 538-556, 2009.
19. J. Stewart, J. Monaco, S. Cha, and C. Tappert. An Investigation of Keystroke and Stylometry Traits. Proc. Int. Joint Conf. Biometrics (IJCB 2011), Washington D.C., Oct 2011.
20. C. Tappert, S. Cha, M. Villani, and R.S. Zack. A keystroke biometric system for long-text input. Int. J. Info. Security and Privacy (IJISP), 4(1): 32-60, 2010.
21. S. Afroz, M. Brennan, and R. Greenstadt. Detecting hoaxes, frauds, and deception in writing style online. Proc. 2012 IEEE Sym. Security and Privacy. IEEE Computer Soc., Wash. DC, 461-475, 2012.
22. B. Allison and L. Guthrie. Authorship attribution of e-mail comparing classifiers cver a new corpus for evaluation, Proc. LREC'08, 2008.
23. M.Cristani, et al. Conversationally-inspired stylometric features for authorship attribution in instant messaging. Proc. 20th ACM Int. Conf. Multimedia. NY, 1121-1124, 2012.
24. M. Corney, O. de Vel, A. Anderson, and G. Mohay. Gender-preferential text mining of e-mail discourse. Proc. 18th Annual Computer Security App. Conf., Las Vegas, NV, Dec 2002.
25. O. de Vel. Mining e-mail authorship. Proc. KDD-2000 Workshop on Text Mining, Boston, Aug 2000.
26. O. de Vel, A. Anderson, M. Corney, and G. Mohay. Mining e-mail content for author identification forensics. ACM SIGMOD Record, 30(4):55, Dec 2001.
27. O.Feiguenia and G.Hirst. Authorship attribution for small texts: literary and forensic experiments. Proc. 30th Int.Conf. Special Int. Group. Info Retrieval (SIGIR), 2007.
28. S. Feng, R. Banerjee, and Y. Choi. Syntactic stylometry for deception detection. Proc. 50th Annual Meeting Assoc. Comp. Linguistics: Short Papers, Assoc. Comp. Ling., Stroudsburg, PA, 2: 171-175, 2012.
29. M. Gamon. Linguistic correlates of style: Authorship classification with deep linguistic analysis features. Proc. 20th Int. Conf. Comp. Ling. (COLING '04). Assoc. Comp. Ling., Morristown, NJ, 611-617, 2004.
30. E. Goldman and A. Allison. Using grammatical markov modes for stylometric analysis. Stanford Univ. Tech. Report.
31. G. Hirst and O. Feiguina. Bigrams of syntactic labels for authorship discrimination of short texts. Literary and Linguistic Computing, 22(4): 405-417, 2007.
32. D. Hoover. Multivariate analysis and the study of style variation. Literary and Linguistic Computing, 18(4): 341-60, 2003.
33. D. Hoover. Statistical stylistics and authorship attribution: An empirical investigation. Literary and Linguistic Computing, 16: 421-44, 2001.
34. F. Iqbal, R. Hadjidj, B. Fung, and M. Debbabi. A novel approach of mining write-prints for authorship attribution in e-mail forensics. Digtal Investigation, 5: 42-51, 2008.
35. F. Iqbal, L. Khan, C. Benjamin, and M. Debbabi. E-mail authorship verification for forensic investigation. Proc. 2010 ACM Symposium Applied Computing (SAC '10). ACM, New York, NY, 1591-1598, 2010.
36. V. Keselj, F. Peng, N. Cerone, and C. Thomas. N-gram-based author profiles for authorship attribution. Proc. Conf. Pacific Assoc. Comp. Ling., PACLING'03, Nova Scotia, 255-264, 2003.
37. M. Koppel and J. Schler. Authorship verification as a one-class classification problem. ICML '04 Proc. .21st Int. Conf. Machine Learning, New York, 2004.
38. M. Koppel and J. Schler. Exploiting stylistic idiosyncrasies for authorship attribution. Proc. IJCAI'03 Workshop Comp. Approaches to Style Analysis and Synthesis, 69-72, 2003.
39. R. Layton, P. Watters, and R. Dazeley. Authorship attribution for twitter in 140 characters or less. Second Cybercrime and Trustworthy Comp. Workshop, 1-8, 2010.
40. J. Li, R. Zheng, and H. Chen. From fingerprint to writeprint. Comm. ACM, 49(4): 76-82, 2006.
41. K. Luyckx and W. Daelemans. Authorship attribution and verification with many authors and limited data. Proc. 22nd Int. Conf. Comp. Ling., COLING '08, Assoc. Comp. Ling., NJ, 1: 513-520, 2008.
42. K. Luyckx and W. Daelemans. Shallow text analysis and machine learning for authorship attribution. Proc. 15th Meeting Comp. Ling. of the Netherlands, 2005.
43. T. Mustafa, N. Mustapha, M. Azmi, and N. Sulaiman. Computational stylometic approach based on frequent word and frequent pair in text mining authorship attrib. IJCSNS Int. J. Comp. Sci. Net. Sec., 9-3, 2009.
44. A. Narayanan, A. Paskov, H. Gong, N.Z. Bethencourt, J. Stefanov, E. Shin, E.C.R. Song, D. On the feasibility of internet-scale author identification. IEEE Symp. Security and. Privacy, 300-314, 2012.
45. D. Pavelec, L.S. Oliveira, E. Justino, F.D. Nobre Neto, and L.V. Batista. Compression and stylometry for author identification. Int. Joint Conf. Neural Networks, 2445-2450, 2009.
46. M. Popescu and L. Dinu. Comparing statistical similarity measures for stylistic multivariate analysis. Proc. RANLP 2009, Borovets, Bulgaria, 2009.
47. S. Raghavan, A. Kovashka, and R. Mooney. Authorship attribution using probabilistic context-free grammars. Proc. ACL 2010 Conf. Short Papers, CLShort '10, Assoc. Comp. Ling., PA, 38-42, 2010.
48. U. Stanczyk and K. Cyran. Machine learning approach to authorship attribution of literary texts. Int. J. Applied Mathematics and Informatics, 1(4), 2007.
49. J. Sun, Z. Yang, P. Wang, and S. Liu. Variable length character n-gram approach for online writeprint identification. Int.Conf. Multimedia Info. Netw. Sec. (MINES), Nanjing, Jiangsu, 486-490, 2010.
50. J. Sun, Z. Yang, P. Wang, L. Liu, and S. Liu. Feature selection for online writeprint identification using hybrid genetic algorithm. Int. Symp. Comp. Intel. and Design (ISCID), Hangzhou, 76-79, 2010.
51. F. Tan and R. Tsai. Authorship identification for online text. Proc. 2010 Int. Conf. Cyberworlds (CW '10). IEEE Computer Society, Washington, DC, 155-162, 2010.
52. N. Tsimboukakis and G. Tambouratzis. A comparative study on authorship attribution classification tasks using both neural network and statistical methods. Neural Comp. Appl., 19(4): 573-582, 2009.
53. H. Van Halteren. Linguistic profiling for author recognition and verification. Proc. 42nd Annual Meeting Assoc. Comp.Ling, Stroudsburg, PA, 199-206, 2004.
54. R. Zheng, J. Li, H. Chen, and Z. Huang. A framework for authorship identification of online messages: writing-style features and classification techniques. J. Am. Soc. Info. Science and Tech., Feb 2006.
55. R. Zheng, Y. Qin, Z. Huang, and H. Chen. Authorship Analysis in Cybercrime Investigation. Intel. Security Informatics, Hsinchun Chen et al., Eds., Springer Berlin Heidelberg, 2665: 59-73, 2003.