# Defending against Phishing Attacks: Taxonomy of Methods, Current Issues and Future Directions

arXiv: https://arxiv.org/abs/1705.09819 · HTML: https://mlsanity.com/paper/1705.09819/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 May 2017.

## Built on by (most cited first, 4 of 4)

- [Phishing Attacks Detection -- A Machine Learning-Based Approach](https://mlsanity.com/paper/2201.10752/) (2022)
- [PhishGuard: A Convolutional Neural Network Based Model for Detecting Phishing URLs with Explainability Analysis](https://mlsanity.com/paper/2404.17960/) (2024)
- [PhishLang: A Real-Time, Fully Client-Side Phishing Detection Framework Using MobileBERT](https://mlsanity.com/paper/2408.05667/) (2024)
- [COPS: A Compact On-device Pipeline for real-time Smishing detection](https://mlsanity.com/paper/2402.04173/) (2024)

## Abstract (arXiv)

Internet technology is so pervasive today, for example, from online social networking to online banking, it has made people's lives more comfortable. Due the growth of Internet technology, security threats to systems and networks are relentlessly inventive. One such a serious threat is "phishing", in which, attackers attempt to steal the user's credentials using fake emails or websites or both. It is true that both industry and academia are working hard to develop solutions to combat against phishing threats. It is therefore very important that organisations to pay attention to end-user awareness in phishing threat prevention. Therefore, the aim of our paper is twofold. First, we will discuss the history of phishing attacks and the attackers' motivation in details. Then, we will provide taxonomy of various types of phishing attacks. Second, we will provide taxonomy of various solutions proposed in literature to protect users from phishing based on the attacks identified in our taxonomy. Moreover, we have also discussed impact of phishing attacks in Internet of Things (IoTs). We conclude our paper discussing various issues and challenges that still exist in the literature, which are important to fight against with phishing threats.