A feasibility study of stateful automaton packet inspection for streaming application detection systems

Tseng, Kuo-Kun; Lo, Jiao; Liu, Yiming; Chang, Shih‐Hao; Merabti, Madjid; Felix, C.; Wu, Chun-Ho

doi:10.1080/17517575.2016.1234070

Cited by 1 publication

(1 citation statement)

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“…also a customized symbolic model checking algorithm is developed to filter incoming and outgoing packets. Stateful firewall system model that can be embedded in network gateway and used to stream applica-tion layer in IP/TCP model is developed, the system model analyzes the packet using part of header field and part of application layer data (payload) of a packet (Tseng et al, 2017). A reference model based on packet filtering stateful firewall technology is developed, whereby all components are governed by centralized security policy and they can be deployed in a distributed fashion to achieve scaling (Thant et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Dynamic deep stateful firewall packet analysis model

Kailanya

Mwadulo

Omamo

2022

AJSTSS

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Due to challenges of COVID -19 pandemic, network is widely used and more networkthreats are evolving, therefore, there is a need to improve network tools in order tocontrol threats. Stateful firewall is a network tool that build up packet filters by keepingrecord of packet passing through the network in a state table, so that when a newpacket arrives, the stateful firewall filtering mechanism first checks to determine whetherthe 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 includethe header, trailer and payloads. In the stateful firewall models developed, mixedresearch methodology have been used. The models are developed in pythonprogramming language; an experimental research design is used, string matching andpattern matching algorithms are used in developing the models.

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Section: Introductionmentioning

confidence: 99%