共 50 条
- [1] What Is the Influence of Users' Characteristics on Their Ability to Detect Phishing Emails? [J]. ADVANCED COMPUTER AND COMMUNICATION ENGINEERING TECHNOLOGY, 2015, 315
- [2] On Identifying Phishing Emails: Uncertainty in Machine and Human Judgment [J]. 2014 IEEE CONFERENCE ON NORBERT WIENER IN THE 21ST CENTURY (21CW), 2014,
- [5] Text and Data Mining to Detect Phishing Websites and Spam Emails [J]. SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, PT II (SEMCCO 2013), 2013, 8298 : 559 - 573
- [6] Spear Phishing Emails Detection Based on Machine Learning [J]. PROCEEDINGS OF THE 2021 IEEE 24TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD), 2021, : 354 - 359
- [7] LMs go Phishing: Adapting Pre-trained Language Models to Detect Phishing Emails [J]. 2022 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WI-IAT, 2022, : 135 - 142
- [8] Correction to: Better beware: comparing metacognition for phishing and legitimate emails [J]. Metacognition and Learning, 2019, 14 : 363 - 363
- [9] Analysis of phishing emails [J]. AIMS Electronics and Electrical Engineering, 2021, 5 (01): : 93 - 116
- [10] Employing Machine Learning Techniques for Detection and Classification of Phishing Emails [J]. 2017 COMPUTING CONFERENCE, 2017, : 149 - 156