Jain et al., 2016
ViewHTML| Publication | Publication Date | Title |
|---|---|---|
| Jain et al. | A novel approach to protect against phishing attacks at client side using auto-updated white-list | |
| Das Guptta et al. | Modeling hybrid feature-based phishing websites detection using machine learning techniques | |
| Rao et al. | Detection of phishing websites using an efficient feature-based machine learning framework | |
| Gupta et al. | A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment | |
| Jain et al. | Towards detection of phishing websites on client-side using machine learning based approach | |
| Sadiq et al. | A review of phishing attacks and countermeasures for internet of things‐based smart business applications in industry 4.0 | |
| Vijayalakshmi et al. | Web phishing detection techniques: a survey on the state‐of‐the‐art, taxonomy and future directions | |
| Mahajan et al. | Phishing website detection using machine learning algorithms | |
| Jain et al. | Two-level authentication approach to protect from phishing attacks in real time | |
| Mao et al. | Phishing-alarm: Robust and efficient phishing detection via page component similarity | |
| Tan et al. | PhishWHO: Phishing webpage detection via identity keywords extraction and target domain name finder | |
| Jain et al. | Comparative analysis of features based machine learning approaches for phishing detection | |
| Gowtham et al. | A comprehensive and efficacious architecture for detecting phishing webpages | |
| Patil et al. | Survey on malicious web pages detection techniques | |
| KR100935776B1 (en) | Network address evaluation methods, computer readable recording media, computer systems, network address access methods, how to utilize computer infrastructure, and how to perform enterprise network communication traffic analysis | |
| WO2012101623A1 (en) | Web element spoofing prevention system and method | |
| Kara et al. | Characteristics of understanding URLs and domain names features: the detection of phishing websites with machine learning methods | |
| Mishra et al. | Intelligent phishing detection system using similarity matching algorithms | |
| Tharani et al. | Understanding phishers' strategies of mimicking uniform resource locators to leverage phishing attacks: A machine learning approach | |
| Atimorathanna et al. | NoFish; total anti-phishing protection system | |
| Aljahdalic et al. | URL filtering using machine learning algorithms | |
| Abiodun et al. | Linkcalculator–an efficient link-based phishing detection tool | |
| Thaker et al. | Detecting phishing websites using data mining | |
| Roopak et al. | On effectiveness of source code and SSL based features for phishing website detection | |
| Suriya et al. | An integrated approach to detect phishing mail attacks: A case study |