"Impact of Current Phishing Strategies in Machine Learning Models for Phishing Detection"

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Book	Author(s)	Year	Publisher
A Machine-Learning Approach to Phishing Detection and Defense	I.S. Amiri; O.A. Akanbi and E. Fazeldehkordi	2015	Syngress
Machine Learning for Evolution Strategies	Oliver Kramer	1st ed. 2016	Springer International Publishing
Control Charts and Machine Learning for Anomaly Detection in Manufacturing	Kim Phuc Tran	1st ed. 2022	Springer International Publishing
Moving Objects Detection Using Machine Learning	Navneet Ghedia; Chandresh Vithalani; Ashish M. Kothari; Rohit M. Thanki	1st ed. 2022	Springer International Publishing
Intrusion detection: a machine learning approach	Zhenwei Yu	2011	Imperial College Press;Distributed by World Scientific
Machine Learning and Optimization Models for Optimization in Cloud	Punit Gupta; Mayank Kumar Goyal; Sudeshna Chakraborty; Ahmed A Elngar	2022	Routledge
Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video	Olga Isupova	1st ed. 2018	Springer International Publishing
Phishing Detection Using Content-Based Image Classification	Shekhar Khandelwal; Rik Das	2022	Routledge
Graphical Models for Machine Learning and Digital Communication	Brendan J. Frey	1998	MIT Press
Graphical Models for Machine Learning and Digital Communication	Brendan J. Frey	1998	MIT Press,
Network Anomaly Detection: A Machine Learning Perspective	Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita	2013	Routledge
Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient	Tanay Agrawal	1st ed.	Apress
SCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention	Abdulmohsen Almalawi; Zahir Tari; Adil Fahad; Xun Yi	2021	Wiley Data and Cybersecurity
Computational Trust Models and Machine Learning	Xin Liu; Anwitaman Datta; Ee-Peng Lim	2014	Routledge
Practical MLOps: Operationalizing Machine Learning Models	Noah Gift, Alfredo Deza	2021	O'Reilly Media
Machine learning in chemistry: the impact of artificial intelligence /	Cartwright, Hugh M.,		Royal Society of Chemistry, The
Machine learning methods for commonsense reasoning processes: interactive models	Xenia Naidenova	2010	Information Science Reference
Oral Cancer Detection: Novel Strategies and Clinical Impact	Prashanth Panta	1st ed. 2019	Springer International Publishing
Response Models for Detection of Change	Anatol Rapoport; W. Stein; G. Burkheimer	1979	Springer Netherlands
Machine Learning: A Guide to Current Research	Tom M. Mitchell; Jaime G. Carbonell; Ryszard S. Michalski	1986	Springer US
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Impact of Current Phishing Strategies in Machine Learning Models for Phishing Detection	M. Sánchez-Paniagua; E. Fidalgo; V. González-Castro; E. Alegre	13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020)	Álvaro Herrero; Carlos Cambra; Daniel Urda; Javier Sedano; Héctor Quintián; Emilio Corchado	1st ed. 2021	Springer International Publishing
Machine Learning for Phishing Detection and Mitigation	Mohammad Alauthman; Ammar Almomani; Mohammed Alweshah; Waleed Omoush; Kamal Alieyan	Machine Learning for Computer and Cyber Security: Principles, Algorithms, and Practices	Brij B. Gupta; Quan Z. Sheng	2019	Routledge
Phishing Website Detection Using Machine Learning	Prateek Gupta; Archana Singh	ICT Analysis and Applications: Proceedings of ICT4SD 2020, Volume 2	Simon Fong; Nilanjan Dey; Amit Joshi	1st ed. 2021	Springer Nature Singapore
Phishing URL Detection Using Machine Learning	Preeti; Rainu Nandal; Kamaldeep Joshi	Advances in Communication and Computational Technology: Select Proceedings of ICACCT 2019	Gurdeep Singh Hura; Ashutosh Kumar Singh; Lau Siong Hoe	1st ed. 2021	Springer Nature Singapore
Detection of Phishing Websites Using Machine Learning	Ahmed Raad Abbas; Sukhvir Singh; Mandeep Kau	Inventive Communication and Computational Technologies: Proceedings of ICICCT 2019	G. Ranganathan; Joy Chen; Álvaro Rocha	1st ed. 2020	Springer Nature Singapore
An Experimental Study of Machine Learning for Phishing Detection	Dumitru-Daniel Vecliuc; Codruț-Georgian Artene; Marius-Nicolae Tibeică; Florin Leon	Intelligent Information and Database Systems: 13th Asian Conference, ACIIDS 2021, Phuket, Thailand, April 7–10, 2021, Proceedings	Ngoc Thanh Nguyen; Suphamit Chittayasothorn; Dusit Niyato; Bogdan Trawiński	1st ed. 2021	Springer International Publishing
Machine Learning Based Phishing Web Sites Detection	Huu Hieu Nguyen; Duc Thai Nguyen	AETA 2015: Recent Advances in Electrical Engineering and Related Sciences	Vo Hoang Duy; Tran Trong Dao; Ivan Zelinka; Hyeung-Sik Choi; Mohammed Chadli	1st ed. 2016	Springer International Publishing
Phishing URL Detection Using Machine Learning Techniques	A. Sirisha; V. Nihitha; B. Deepika	ICCCE 2020: Proceedings of the 3rd International Conference on Communications and Cyber Physical Engineering	Amit Kumar; Stefan Mozar	1st ed. 2021	Springer Nature Singapore
Detection of Phishing Attacks: A Machine Learning Approach	Ram Basnet; Srinivas Mukkamala; Andrew H. Sung	Soft Computing Applications in Industry	Bhanu Prasad	2008	Springer Berlin Heidelberg
An Efficient Approach for Phishing Detection using Machine Learning	Ekta Gandotra; Deepak Gupta	Multimedia Security: Algorithm Development, Analysis and Applications	Kaiser J. Giri; Shabir Ahmad Parah; Rumaan Bashir; Khan Muhammad	1st ed. 2021	Springer Nature Singapore
Feature Selection for Email Phishing Detection Using Machine Learning	Neelam Yadav; Supriya P. Panda	International Conference on Innovative Computing and Communications: Proceedings of ICICC 2021, Volume 2	Ashish Khanna; Deepak Gupta; Siddhartha Bhattacharyya; Aboul Ella Hassanien; Sameer Anand; Ajay Jaiswal	1st ed. 2022	Springer Nature Singapore
Comparative Analysis of Machine Learning Algorithms for Phishing Website Detection	Dhiman Sarma; Tanni Mittra; Rose Mary Bawm; Tawsif Sarwar; Farzana Firoz Lima; Sohrab Hossain	Inventive Computation and Information Technologies: Proceedings of ICICIT 2020	S. Smys; Valentina Emilia Balas; Khaled A. Kamel; Pavel Lafata	1st ed. 2021	Springer Nature Singapore
An Intelligent Phishing Detection Scheme Using Machine Learning	Aaisha Makkar; Neeraj Kumar; Lakshit Sama; Satyam Mishra; Yash Samdani	Proceedings of the Sixth International Conference on Mathematics and Computing: ICMC 2020	Debasis Giri; Rajkumar Buyya; S. Ponnusamy; Debashis De; Andrew Adamatzky; Jemal H. Abawajy	1st ed. 2021	Springer Nature Singapore
MLSPD - Machine Learning Based Spam and Phishing Detection	Sanjay Kumar; Azfar Faizan; Ari Viinikainen; Timo Hamalainen	Computational Data and Social Networks: 7th International Conference, CSoNet 2018, Shanghai, China, December 18–20, 2018, Proceedings	Xuemin Chen; Arunabha Sen; Wei Wayne Li; My T. Thai	1st ed. 2018	Springer International Publishing
Detection of Deceptive Phishing Based on Machine Learning Techniques	J. Vijaya Chandra; Narasimham Challa; Sai Kiran Pasupuleti	Smart Technologies in Data Science and Communication: Proceedings of SMART-DSC 2019	Jinan Fiaidhi; Debnath Bhattacharyya; N. Thirupathi Rao	1st ed. 2020	Springer Nature Singapore
Enhanced Lightweight Model for Detection of Phishing URL Using Machine Learning	Siddhesh Masurkar; Vipul Dalal	ICT Analysis and Applications: Proceedings of ICT4SD 2020, Volume 2	Simon Fong; Nilanjan Dey; Amit Joshi	1st ed. 2021	Springer Nature Singapore
Enhanced Lightweight Model for Detection of Phishing URL Using Machine Learning	Siddhesh Masurkar; Vipul Dalal	Machine Intelligence and Smart Systems: Proceedings of MISS 2020	Shikha Agrawal; Kamlesh Kumar Gupta; Jonathan H. Chan; Jitendra Agrawal; Manish Gupta	1st ed. 2021	Springer Nature Singapore
Split Behavior of Supervised Machine Learning Algorithms for Phishing URL Detection	Madhurendra Purbay; Divya Kumar	Advances in VLSI, Communication, and Signal Processing: Select Proceedings of VCAS 2019	David Harvey; Haranath Kar; Shekhar Verma; Vijaya Bhadauria	1st ed. 2021	Springer Nature Singapore
Feature Selection Approach for Phishing Detection Based on Machine Learning	Yi Wei; Yuji Sekiya	Proceedings of the International Conference on Applied CyberSecurity (ACS) 2021	Hani Ragab Hassen; Hadj Batatia	1st ed. 2022	Springer International Publishing
Transfer Learning Approach in Phishing Detection	Shekhar Khandelwal; Rik Das	Phishing Detection Using Content-Based Image Classification	Shekhar Khandelwal; Rik Das	2022	Routledge
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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