[1]. Wikipedia (July 2014), “Phishing”, Online Document Available at:
[2]. San Martino A and Perramon X (2010), “Phishing Secrets: History, Effects, and Countermeasures”, International Journal of Network Security, 11(3), 163-171.
[3]. McRae C.M and Vaughn R.B (2007), “Phighting the Phisher: Using Web Bugs and Honeytokens to Investigate the Source of Phishing Attacks”, Proceedings of the 40th Annual Hawaii International Conference on System Sciences (IEEE), 1-7, Waikoloa.
[4]. Agarwal N, Renfro S and Bejar A (2009), “Yahoo Sign-In Seal and Current Anti-Phishing Solutions”, eCrime Researchers Summit, 1-4.
[5]. Aburrous M, Hossain M. A, Dahal, K and Thabatah, F (2010), "Intelligent Phishing Detection System for E-Banking Using Fuzzy Data Mining”, Expert Systems with Applications, no. 37, 7913–7921.
[6]. Shreeram V, Suban M, Shanthi P and Manjula K (2010), “Anti-phishing detection of phishing attacks using genetic algorithm”, IEEE International Conference on Communication Control and Computing Technologies (ICCCCT), 447 – 450, Ramanathapuram, 7-9 Oct.
[7]. Chen J and Guo C (2006), “Online Detection and Prevention of Phishing Attacks”, First International Conference on Communications and Networking (IEEE), 1 – 7, China, 25-27 Oct.
[8]. Atighetchi M and Pal P (2009), “Attribute-based Prevention of Phishing Attacks”, Eighth International Symposium on Network Computing and Applications (IEEE), 266 – 269, Cambridge, MA, 9-11 July.
[9]. Dunlop M, Groat S and Shelly D (2010), “Gold Phish: Using Images for Content-Based Phishing Analysis”, the Fifth International Conference on Internet Monitoring and Protection (IEEE), 123 – 128, Barcelona, 9-15 May.
[10]. Mishra M, Gaurav and Jain A (2012), “A Preventive Anti-Phishing Technique using Code word”, International Journal of Computer Science and Information Technologies, 3(3), 2012, 4248 – 4250.
[11]. Sanglerdsinlapachai N and Rungsawang A (2010), “Using Domain Top-page Similarity Feature in Machine Learning-Based Web Phishing Detection”, Third International Conference on Knowledge Discovery and Data Mining (IEEE), 187 – 190, Phuket, 9-10 Jan.
[12]. Liu G, Qiu B and Wenyin L (2010), “Automatic Detection of Phishing Target from Phishing Webpage”, International Conference on Pattern Recognition (IEEE), 4153-4156, Istanbul, 23-26 Aug.
[13]. Reddy V.P, Radha V and Jindal M (2011), “Client Side protection from Phishing attack”, International Journal of Advanced Engineering Sciences and Technologies, 3(1), 39-45.
[14]. Khonji M, Jones A and Iraqi Y (2011), “A Novel Phishing Classification Based On URL Features’, GCC Conference and Exhibition (IEEE), 221 – 224, Dubai, 19-22 Feb.
[15]. Ruth Ramya K, Priyanka K, Anusha K, Jyosthna Devi CH and Siva Prasad Y.A (2011), “An Effective Strategy for Identifying Phishing Websites using Class-Based Approach”, International Journal of Scientific & Engineering Research, 2(12), 1-7.
[16]. Damodaram A, Phil M.C and Valarmathi M.L (2012), “Phishing website detection and optimization using Modified bat algorithm”, International Journal of Engineering Research and Applications, 2(1), 870-876.
[17]. Aburrous M, Hossain M.A, Dahal K and Thabtah F (2010), “Associative Classification Techniques for predicting e-Banking Phishing Websites”, International Conference on Multimedia Computing and Information Technology (IEEE), 9 – 12, Sharjah, 2-4 March.
[18]. Damodaram R and Valarmathi M.L (2011), “Fake Website Detection: Association Classification Algorithm with Ant Colony Optimization Technique”, International Journal of Advanced Research in Computer Science, 2(1), 568-577.
[19]. Abdelhamid N, Ayesh A and Thabtah F (2014), “Phishing detection based Associative Classification data mining”, Expert Systems with Applications, No. 41, 5948–5959.
[20]. COMODO (Aug 2014), “Comod Web Inspector”, Online Tools Available at:
[21]. Phishtank (Aug 2014), “Comod Web Inspector”, Online Document Available at:
[22]. Millersmiles (Aug 2014), “Comod Web Inspector”, Online Document Available at:
[23]. Patil N, Lathi R and Chitre V (2012), “Customer Card Classification Based on C5.0 & CART Algorithms”, International Journal of Engineering Research, 2(4), 164-167.
[24]. StatSoft Inc (Aug 2014), “Popular Decision Tree: Classification and Regression Trees”, Online Document Available at:
[25]. Suknovic M, Delibasic B, Jovanovic M, Vukicevic M, Becejski-Vujaklija D and Obradovic Z (2011), “Reusable components in decision tree induction algorithms”, Computational Statistics, 27(1), 127-148.
[27]. Lim T.S, Loh W.Y and Shih Y.S (2000), “A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-three Old and New Classification Algorithms”, Machine Learning, No. 40, 203-229.
[28]. Kali Linux (April 2015), “Tools Included in the Set Package”, Online Document Available at: http://tools.kali.org/information-gathering/set
)