DESIGN AND IMPLEMENTATION OF PHISHING DETECTION USING HYBRID SVM AND NAIVE BAYES ALGORITHM

• Main Author: FADIL AL ANWARY (NIM : 23215096), MUHAMAD
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/29073
• Institution: Institut Teknologi Bandung

<p align="justify">Phishing is the one of attack that causes billions of dollars in damage every year. it is because the phishing is a type of attack with the aim to get a person's personal information such as User ID, password, or other important data by fraud. Generally phishing fraud is done by way of an attacker to create a fake web that is created resembling the original web so that the victim believes to enter his personal data, then the attacker will send the fake web URL link to the victim in the hope of the victim will open the link. A few years ago sending fake web links still via email, but nowadays fake web submissions can already be through social media. The personal data that the victim enters into the fake web will be abused by the attacker and will not be delivered to the original web. <br /> <br /> <br /> <br /> The development of phishing methods is also supported by the level of awareness of the confidentiality of internet user information is still very less. Therefore research to develop phishing detection is very important. In this research, the authors propose a method of phishing detection using hybrid algorithm machine learning that combine Naive Bayes algorithm and Support Vector Machine (SVM) algorithm. Application of this method will improve the accuracy of detection of a phishing.<p align="justify">