Next generation firewalls for dynamic coalitions

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Title: Next generation firewalls for dynamic coalitions
Authors: Arunkumar, S
Pipes, S
Makaya, C
Bertino, E
Karafili, E
Lupu, E
Williams, C
Item Type: Conference Paper
Abstract: Firewalls represent a critical security building block for networks as they monitor and control incoming and outgoing network traffic based on the enforcement of predetermined secu- rity rules, referred to as firewall rules. Firewalls are constantly being improved to enhance network security. From being a simple filtering device, firewall has been evolved to operate in conjunc- tion in intrusion detection and prevention systems. This paper reviews the existing firewall policies and assesses their application in highly dynamic networks such as coalitions networks. The paper also describe the need for the next-generation firewall policies and how the generative policy model can be leveraged.
Issue Date: 28-Jun-2018
Date of Acceptance: 20-Apr-2017
Publisher: IEEE
Journal / Book Title: 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)
Copyright Statement: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
IBM United Kingdom Ltd
Funder's Grant Number: EP/L022729/1
Conference Name: DAIS Workshop, 2017 IEEE SmartWorld Congress
Keywords: Firewall
intrusion detection and prevention
generative policy
machine learning
coalitions networks
Intrusion detection and prevention
generative policy
machine learning
coalition networks
Publication Status: Published
Start Date: 2017-08-04
Finish Date: 2017-08-08
Conference Place: San Francisco, CA, USA
Appears in Collections:Faculty of Engineering

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