Overview of PDF Malware Classifiers

• Published in: 2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) pp. 337 - 341
• Main Authors: Gopaldinne, Sanjeev Reddy, Kaur, Harpreet, Kaur, Pawandeep, Kaur, Gunseerat, Madhuri
• Format: Conference Proceeding
• Language: English
• Published: IEEE 28.04.2021
• Subjects: Artificial Neural Networks (ANN); Government; Handheld computers; Intrusion detection; K-Nearest Neighbours (KNN); Machine learning (ML); Naive Bayes (NB); Neural networks; Portable document format; Portable Document Format (PDF); Support Vector Machine (SVM); Support vector machine classification
• DOI: 10.1109/ICIEM51511.2021.9445341

PDF means Portable Document Format. It is a commonly used format for data exchange nowadays. Though, it turns out to be the most striking to the target for misuse by malware designer and vulnerability researcher. PDF which contains malicious based attacks mainly targeting individuals, Financial sectors and government official. The existing tools like IDS mean Intrusion Detection System and packages like antivirus are inefficient to overcome these kinds of attacks. In this paper, we discussed about PDF structure file structure and its working and we have discussed some classifiers related to malware detection.