메뉴 건너뛰기




Volumn 6, Issue 2, 2011, Pages 486-497

A local-concentration-based feature extraction approach for spam filtering

Author keywords

Artificial immune system (AIS); bag of words (BoW); feature extraction; global concentration (GC); local concentration (LC); spam filtering

Indexed keywords

ARTIFICIAL IMMUNE SYSTEM; BAG-OF-WORDS (BOW); GLOBAL CONCENTRATION (GC); LOCAL CONCENTRATION (LC); SPAM FILTERING;

EID: 79957511078     PISSN: 15566013     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIFS.2010.2103060     Document Type: Article
Times cited : (49)

References (33)
  • 1
    • 79957445051 scopus 로고    scopus 로고
    • Commtouch, Q4 2008 Internet Threats Trend Report Jan., [Online]. Available
    • Commtouch, Q4 2008 Internet Threats Trend Report Jan. 2009 [Online]. Available: http://www.pallas.com/fileadmin/img/content/ publikationen/Commtouch- Pallas-2008-Q4-Internet- Threats-Trend-Report.pdf
    • (2009)
  • 5
    • 35648936931 scopus 로고    scopus 로고
    • Time-efficient spam e-mail filtering using n-gram models
    • DOI 10.1016/j.patrec.2007.07.018, PII S0167865507002644
    • A. Ciltik and T. Gungor, "Time-efficient spam e-mail filtering using n-gram models," Pattern Recognit. Lett., vol. 29, no. 1, pp. 19-33, 2008. (Pubitemid 350026659)
    • (2008) Pattern Recognition Letters , vol.29 , Issue.1 , pp. 19-33
    • Ciltik, A.1    Gungor, T.2
  • 6
    • 0032594950 scopus 로고    scopus 로고
    • Support vector machines for spam categorization
    • Sep.
    • H. Drucker, D. Wu, and V. Vapnik, "Support vector machines for spam categorization," IEEE Trans. Neural Netw., vol. 10, no. 5, pp. 1048-1054, Sep. 1999.
    • (1999) IEEE Trans. Neural Netw. , vol.10 , Issue.5 , pp. 1048-1054
    • Drucker, H.1    Wu, D.2    Vapnik, V.3
  • 8
    • 34249096224 scopus 로고    scopus 로고
    • Dirichlet-enhanced spam filtering based on biased samples
    • S. Bickel and T. Scheffer, "Dirichlet-enhanced spam filtering based on biased samples," Adv. Neural Inf. Process. Syst., vol. 19, pp. 161-168, 2007.
    • (2007) Adv. Neural Inf. Process. Syst. , vol.19 , pp. 161-168
    • Bickel, S.1    Scheffer, T.2
  • 12
    • 84945194999 scopus 로고    scopus 로고
    • A neural network based approach to automated e-mail classification
    • Halifax, Canada
    • J. Clark, I. Koprinska, and J. Poon, "A neural network based approach to automated e-mail classification," in Proc. IEEE Int. Conf. Web Intelligence (WI' 03), Halifax, Canada, 2003, pp. 702-705.
    • (2003) Proc. IEEE Int. Conf. Web Intelligence (WI' 03) , pp. 702-705
    • Clark, J.1    Koprinska, I.2    Poon, J.3
  • 13
    • 58349104374 scopus 로고    scopus 로고
    • Behavior-based spam detection using a hybrid method of rule-based techniques and neural networks
    • Apr.
    • C.-H. Wu, "Behavior-based spam detection using a hybrid method of rule-based techniques and neural networks," Expert Syst. Appl., vol. 36, no. 3, pp. 4321-4330, Apr. 2009.
    • (2009) Expert Syst. Appl. , vol.36 , Issue.3 , pp. 4321-4330
    • Wu, C.-H.1
  • 17
    • 43049157979 scopus 로고    scopus 로고
    • Identification of spam messages using an approach inspired on the immune system
    • Jun.
    • T. S. Guzella, T. A. Mota-Santos, J. Q. Uchôa, and W. M. Caminhas, "Identification of spam messages using an approach inspired on the immune system," Biosystems, vol. 92, no. 3, pp. 215-225, Jun. 2008.
    • (2008) Biosystems , vol.92 , Issue.3 , pp. 215-225
    • Guzella, T.S.1    Mota-Santos, T.A.2    Uchôa, J.Q.3    Caminhas, W.M.4
  • 18
    • 70449360772 scopus 로고    scopus 로고
    • Concentration based feature construction approach for spam detection
    • Atlanta, GA, Jun. 14-19
    • Y. Tan, C. Deng, and G. Ruan, "Concentration based feature construction approach for spam detection," in Proc. IEEE Int. Joint Conf. Neural Networks (IJCNN2009), Atlanta, GA, Jun. 14-19, 2009, pp. 3088-3093.
    • (2009) Proc. IEEE Int. Joint Conf. Neural Networks (IJCNN2009) , pp. 3088-3093
    • Tan, Y.1    Deng, C.2    Ruan, G.3
  • 19
    • 70349292142 scopus 로고    scopus 로고
    • A three-layer back-propagation neural network for spam detection using artificial immune concentration
    • G. Ruan and Y. Tan, "A three-layer back-propagation neural network for spam detection using artificial immune concentration," Soft Comput., vol. 14, pp. 139-150, 2010.
    • (2010) Soft Comput. , vol.14 , pp. 139-150
    • Ruan, G.1    Tan, Y.2
  • 20
    • 33846309260 scopus 로고    scopus 로고
    • Advances in artificial immune systems
    • Nov.
    • D. Dasgupta, "Advances in artificial immune systems," IEEE Comput. Intell. Mag., vol. 1, no. 4, pp. 40-49, Nov. 2006.
    • (2006) IEEE Comput. Intell. Mag. , vol.1 , Issue.4 , pp. 40-49
    • Dasgupta, D.1
  • 21
    • 79957479795 scopus 로고    scopus 로고
    • Wikipedia [Online]. Available
    • Wikipedia [Online]. Available: http://en.wikipedia.org/wiki/Information- gain
  • 22
    • 33847673255 scopus 로고    scopus 로고
    • Learning to classify e-mail
    • DOI 10.1016/j.ins.2006.12.005, PII S0020025506003707, Including Special Issue on Hybrid Intelligent Systems
    • I. Koprinska, J. Poon, J. Clark, and J. Chan, "Learning to classify e-mail," Inform. Sci., vol. 177, pp. 2167-2187, 2007. (Pubitemid 46356315)
    • (2007) Information Sciences , vol.177 , Issue.10 , pp. 2167-2187
    • Koprinska, I.1    Poon, J.2    Clark, J.3    Chan, J.4
  • 24
    • 67349246464 scopus 로고    scopus 로고
    • A review of machine learning approaches to spam filtering
    • T. S. Guzella and M. Caminhas, "A review of machine learning approaches to spam filtering," Expert Syst. Appl., vol. 36, pp. 10206-10222, 2009.
    • (2009) Expert Syst. Appl. , vol.36 , pp. 10206-10222
    • Guzella, T.S.1    Caminhas, M.2
  • 25
    • 67349104235 scopus 로고    scopus 로고
    • University of Trento, Information Engineering and Computer Science Department, Trento, Italy, Tech. Rep. DIT- 06-065, Jan.
    • E. Blanzieri and A. Bryl, A Survey of Learning-Based Techniques of e-mail Spam Filtering University of Trento, Information Engineering and Computer Science Department, Trento, Italy, Tech. Rep. DIT-06-065, Jan. 2008.
    • (2008) A Survey of Learning-based Techniques of e-mail Spam Filtering
    • Blanzieri, E.1    Bryl, A.2
  • 28
    • 26444450900 scopus 로고    scopus 로고
    • Sparse binary polynomial hashing and the CRM114 discriminator
    • Cambrige, MA
    • W. S. Yerazunis, "Sparse binary polynomial hashing and the CRM114 discriminator," in Proc. 2003 Spam Conf., Cambrige, MA, 2003.
    • (2003) Proc. 2003 Spam Conf.
    • Yerazunis, W.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.