Malicious URL, aka malicious website, is a common and serious threat to cybersecurity.
Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure …

Phishing is considered a great scourge in cyberspace. Presently, there are two major
challenges known with the existing anti-phishing solutions. Low detection rate and lack of …

This paper proposes a bidirectional LSTM algorithm (CBIR) based on convolutional neural
network and independent recurrent neural network. The algorithm extracts the “texture …

In network security, as malicious URLs increase and change, their detection has gradually
become more important. The existing malicious URL detection methods lack the description …

With the development of IoT technology, everything in our daily lives became connected,
forming a hyperconnected society. Subsequently, the importance of cyber security is being …

The prevalence of client-based web attacks, which exploit web vulnerabil-ities, has been
increasing with the growth of web sites. Although pattern detection has been widely used to …

摘要随着大数据时代的到来, 恶意URL 作为Web 攻击的媒介渐渐威胁着用户的信息安全.
传统的恶意URL 检测手段如黑名单检测, 签名匹配方法正逐步暴露缺陷, 为此本文提出一种基于 …

The challenging task in cyber space is to detect malicious URLs. The websites pointed by
the malicious URLs injects malicious code into the client machine or steals the crucial …

Detecting malicious activities in cyber systems is a major challenge of cybersecurity service
providers. Due to the large amount of network traffic, it is often likened to finding a needle in …

At present, phishing websites are growing, and there are fewer researches on detection of
phishing websites. Most of the research is based on the traditional single algorithm model …