In this paper, the Search & Heuristic Rule & Logistic Regression (SHLR) combination
detection method is proposed for detecting the obfuscation techniques commonly used by …

We propose a novel classification model that consists of features of website URLs and
content for automatically detecting Chinese phishing e-Business websites. The model …

Along with the wide use of the Internet, a rapidly growing number of people are using
various online services such as e-banking, online shopping, etc. These services give users …

In this paper, we propose a content-based motion retrieval (CBMR) algorithm, where many-
to-many matching method, weighted graph matching, is employed for comparison between …

Anti-detection is becoming as an emerging challenge for anti-phishing. This paper solves
the threats of anti-detection from the threshold setting condition. Enough webpages are …

提出一种基于页面敏感特征的金融类钓鱼网页检测方法, 通过获取网页超文本标记语言特定标签
中的文本信息, 利用适合中文的多模式匹配算法(AC_SC, AC suitable for Chinese) …

针对传统的钓鱼站点攻击检测模型时延高, 效率低, 特征提取复杂的问题, 提出一种使用长短期
记忆网络(long short term memory, LSTM) 和随机森林的混合算法模型. 该模型主要包括网址 …

钓鱼网站是指伪装成合法网站, 窃取用户提交的账号, 密码等私密信息的网站.
基于页面特征识别的钓鱼网站检测方法具有较好的识别准确性, 但现有方法对页面特征伪造的 …

There has been an increasing number of fake e-Business websites created and used, which
have resulted in rising financial loss for online consumers and businesses. Therefore …

In this paper, we propose a content-based motion retrieval algorithm, where many-to-many
matching method, weighted graph matching, is employed for comparison between two …