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Deep Packet Filtering Mechanism for Secure Internetworks
- Source :
- Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12:502-507
- Publication Year :
- 2021
- Publisher :
- Auricle Technologies, Pvt., Ltd., 2021.
-
Abstract
- In this paper, we propose a Deep Packet Filtering Mechanism (DPFM) to analyze and filter malicious data packets moving between network environments. DPFM analyzes the behavior of malicious packets on the network and extracts information about the network as a sequence. After performing the word embedding process on the extracted sequence data using the word2vec technique, it detects malicious packets on the network by learning the LSTM model. In the past, research on filters to prevent malicious packets from entering the network by converting packets into data at the sending and receiving destinations and analyzing their purpose and maliciousness is insufficient. Since DPFM proceeds at the network boundary to analyze and extract malicious packets, primary detection is possible. In this paper, more accurate identification is possible by deep learning of network packets as well as OPcode and system calls, which are static analysis data.
- Subjects :
- Word embedding
Network packet
business.industry
Computer science
General Mathematics
Opcode
Deep learning
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
Filter (signal processing)
Static analysis
Education
Computational Mathematics
Identification (information)
Computational Theory and Mathematics
Word2vec
Artificial intelligence
business
Computer network
Subjects
Details
- ISSN :
- 13094653
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- Turkish Journal of Computer and Mathematics Education (TURCOMAT)
- Accession number :
- edsair.doi...........f573c5c59abecea99a1beb2c0625c65a