Fetching the paper…
Reading the bibliography…
Phishing is the simplest form of cybercrime with the objective of baiting people into giving away delicate information such as individually recognizable data, banking and credit card details, or even credentials and passwords.
1905
Earlier work this paper cites.
Liu, W., Huang., G., Xiaoyue, L. Min, Z., and Deng, X., 2005., Detection of phishing webpages based on visual similarity. 14th international conference on world wide web (WWW)
2005
Earlier work this paper cites.
Zhang, Y., Hong, J.I. and Cranor, L.F., 2007, May. Cantina: a content-based approach to detecting phishing web sites. In Proceedings of the ACM conference on World Wide Web
2007
Earlier work this paper cites.
Mohammad, R.M., Thabtah, F. and McCluskey, L., 2012, An assessment of features related to phishing websites using an automated technique, IEEE Conference for Internet Technology and Secured Transactions
2012
Earlier work this paper cites.
Abdelhamid, N., Ayesh, A. and Thabtah, F., 2014. Phishing detection based associative classification data mining. Expert Systems with Applications, 41(13), pp.5948-5959
2014
Earlier work this paper cites.
Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A. A., Veness, J., Bellemare, M. G., Graves, A., Riedmiller, M., Fidjeland, A. K., Ostrovski, G., Petersen, S., Beattie, C., Sadik, A., Antonoglou, I., King, H., Kumaran, D., Wierstra, D., Legg, S., and Hassabis, D. (2015). Human-level control through deep reinforcement learning. Nature, 518(7540):529–533
2015
Earlier work this paper cites.
Sartoli, S., and Siami Namin, A., 2017, A semantic model for action-based adaptive security, Symposium on Applied Computing (SAC)
2017
Earlier work this paper cites.
Chatterjee, M. and Siami Namin, A., 2018, July. Detecting web spams using evidence theory. IEEE 42nd annual computer software and applications conference (COMPSAC)
2018
Cited alongside, same era.
Chatterjee, M., Siami Namin, A. and Datta, P., 2018, December. Evidence Fusion for Malicious Bot Detection in IoT. IEEE International Conference on Big Data (Big Data)
2018
Cited alongside, same era.
Datta, P., Siami Namin, A. and Chatterjee, M., 2018, December. A Survey of Privacy Concerns in Wearable Devices. IEEE International Conference on Big Data (Big Data)
2018
Cited alongside, same era.
Nguyen, N. Siami Namin, A., Dang, T. 2018. MalViz: an interactive visualization tool for tracing malware. ISSTA
2018
Cited alongside, same era.
Siami-Namini, S., Tavakoli, N., and Siami Namin, A., 2018, December. A Comparison of ARIMA and LSTM in Forecasting Time Series. International Conference on Machine Learning and Applications ICMLA
Sutton, R.S. and Barto, A.G., 2018. Reinforcement learning: An introduction. MIT press
2018
Later among the works it cites.
Zheng, J. and Siami Namin, A., 2018, A Markov Decision Process to Determine Optimal Policies in Moving Target, Proceedings of the ACM SIGSAC Conference on Computer and Communications Security
2018
Later among the works it cites.
Zheng, J. and Siami Namin, A., 2018, Defending SDN-based IoT Networks Against DDoS Attacks Using Markov Decision Process, IEEE Conference on Big Data
2018
Later among the works it cites.
Ebbu2017 Phishing Dataset. Accessed 5 April 2019. Available: https://github.com/ebubekirbbr/ pdd/tree/master/input
2019
Closest in time.
Sahingoz, O.K., Buber, E., Demir, O. and Diri, B., 2019. Machine learning based phishing detection from URLs. Expert Systems with Applications, 117, pp.345-357
2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2018
Cited alongside, same era.
2018
Cited alongside, same era.
WHOIS: Search, Domain Name, Website, and IP Tools. https://who.is
Cited in the paper.
Closest in time.
Tavakoli, N., Dai, Dong, and Chen Y., 2019, Client-side straggler-aware I/O scheduler for object-based parallel file systems, Parallel Computing
2019
Closest in time.