Dynamic deep stateful firewall packet analysis model

Abstract

Due to challenges of COVID -19 pandemic, network is widely used and more network
threats are evolving, therefore, there is a need to improve network tools in order to
control threats. Stateful firewall is a network tool that build up packet filters by keeping
record of packet passing through the network in a state table, so that when a new
packet arrives, the stateful firewall filtering mechanism first checks to determine whether
the information is similar to the one in state table, in order to allow or blocked a packet.
Although several stateful firewall models have been developed to filter network packets,
there is no model that is able to filter the entire parts of a network packet which include
the header, trailer and payloads. In the stateful firewall models developed, mixed
research methodology have been used. The models are developed in python
programming language; an experimental research design is used, string matching and
pattern matching algorithms are used in developing the models.