Towards universitas indonesia_next_generation_firewall_service

Towards Universitas Indonesia

Next Generation Firewall Service

Tonny Adhi Sabastian, M. Kom

([email protected])

APRU 5th Education and Research Technology Forum

The Hongkong University of Science and Technology

28th - 30th January 2015

Introduction

Research & Development Team

● Gladhi Guarddin , M. Kom ([email protected])

Researcher - Lecturer, Pervasive Computing Lab,

Faculty of Computer Science

Division Head of Information System Development,

Office of Information System Development and

Services

● Tonny Adhi Sabastian, M. Kom ([email protected])

Research Assistant - Lecturer, Pervasive Computing

Lab, Faculty of Computer Science

ICT Network Coordinator,

5th APRU Education and Reseach Technology Forum

mailto:[email protected]


Introduction

Research & Development Team

● Alfan Presekal ([email protected])

Student, Faculty of Engineering

● Harrish M. Nazief ([email protected])

Student, Faculty of Computer Science

● Raden Rheza ([email protected])

Staff, Network Infrastructure Service, Office of Information

System Development and Services





Presentation Overview

❏ Introduction to Our Research Lab

❏ Next Generation Firewall (NGFW) Concept

❏ Experiments on NGFW at Universitas

Indonesia

❏ NGFW Prototype at Universitas Indonesia


Pervasive Computing Research Lab. : What we do ?

Smart Space Research


Outcome 2013 - 2014

2013


Location Extractor

Outcome 2013 - 2014

2014


Zigbee REST Gateway

API

Zigbee Lighting using ZLL

Next Generation Firewall Concept


“Next Generation Firewalls are Deep Packet Inspection

Firewalls that move beyond port / protocol inspection

and blocking to add application level inspection,

intrusion prevention, and bringing intelligence from

outside the firewall”

Ali Kapucu,

Kent State University

“Making a Firewall to become Content Aware and

Context Aware”



A Legacy Firewall



Current Internet Condition



Deep Packet Inspection



What NGFW can do ?



Challenges on NGFW :

● Performance on DPI Techniques

○ Regular Expression and String Matching (Aho-

Corasick Algorithm)

○ Machine Learning

● User Privacy

Next Generation Firewall Experiments on UI


● Started on 2012

● Using Free/Open Source Software Stock

○ Debian GNU/Linux 7

○ IPTables & IPSet

○ JASIG CAS (Common Authentication System) for

Single Sign On Authentication

[http://jasig.github.io/cas/4.0.0/index.html]

○ One Production Environment and One Prototyping

Environment

http://jasig.github.io/cas/4.0.0/index.html



Production Environment

● Using Linux Kernel 2.6.32.x, unsupported for

kernel 3.x

● IPSet for list of authenticated IP from UI SSO

● IPtables L7-Netfilter [http://l7-

filter.clearfoundation.com/]

○ L7-Netfilter is not developed since 2013

○ Static regex pattern per protocol

○ In kernel regex library

http://l7-filter.clearfoundation.com/



Prototyping Environment

● Using Linux Kernel 3.2.x

● Active development state

● IPSet for list of authenticated IP from UI SSO

● IPtables nDPI-Netfilter

[http://www.ntop.org/products/ndpi/]

[https://github.com/ewildgoose/ndpi-netfilter/]

○ Per protocol pattern search - Aho-Corasick

algorithm

○ Buggy netfilter conntrack

● Published at International Conference on Advance

Computer Science & Information System, 2014

http://www.ntop.org/products/ndpi/

https://github.com/ewildgoose/ndpi-netfilter/



Buggy Netfilter Patch



Typical Deployment Architecture



Rules Example

#iptables -A INSPEKSI -m ndpi --twitter -j ACCEPT

#iptables -A INSPEKSI -m ndpi --yahoo -j STD_PROTO

#iptables -A INSPEKSI -m ndpi --steam -j REJECTED_PROTO

#iptables -A INSPEKSI -m ndpi --dropbox -j STD_PROTO

#iptables -A INSPEKSI -m ndpi --h323 -j STD_PROTO



Authorization Portal*



SSO Portal

Deployment Result

Legacy implementation, we don’t know if

somebody tunneled Bittorrent packets

DPI implementation is able to capture and

filtered a target protocol

Next Plan

● Traffic Classifier (using machine learning)

● DPI Technique (also using machine learning)

● Automatic provisioning on Firewall and

Bandwidth Management

References


Acharya, H. B., Joshi, A., & Gouda, M. G. (2010). Firewall Modules and Modular Firewalls. 2010 18th IEEE

International Conference on Network Protocols (pp. 174-182). Kyoto: IEEE.

Alcock, S., & Nelson, R. (2013). Measuring the Accuracy of Open-Source Payload-Based Traffic Classifiers Using

Popular Internet Applications. IEEE Workshop on Network Measurements (pp. 956-963). Sydney: IEEE.

Allot Communications. (2007). Digging Deeper into DPI. Allot Communications.

Al-Shaer, E. S., & Hamed, H. H. (2002). Design and Implementation of Firewall Advisor Tools. Chicago: DePaul

University.

Ou, G. (2009, October 27). Understanding Deep Packet Inspection (DPI) Technology. Retrieved from Digital Society:

http://www.digitalsociety.org/2009/10/understanding-deep-packet-inspection-technology/

Papatheodoulou, N., & Sklavos, N. (2009). Architecture & System Design Authentication, Authorization, &

Accounting Services. IEEE, 1831-1837.

Parsons, C. (2008). Deep Packet Inspection in Perspective: Tracing its lineage and surveilance potentials. The New

Transparency Surveilance and Social Sorting, 1-16.

References


Harish Muhammad Nazief, Tonny Adhi Sabastian, Alfan Presekal, Gladhi Guarddin (2014). Development of

University of Indonesia Next Generation Firewall Prototype and Access Control With Deep Packet

Inspection. 2014 IEEE International Conference on Advance Computer Science and Information System.

Jakarta: IEEE.

Thomason, S. (2012). Improving Network Security: Next Generation Firewallas and Advanced Packet Inspection

Devices. Global Journal of Computer Science and Technology Network, Web & Security, 47-49.

Wang, C. (2009, June 4). Forrester: Deep Packet Inspection as an Enabling Technology. Retrieved from CSO Online:

http://www.csoonline.com/article/2124061/network-security/forrester--deep-packet-inspection-as-an-

enabling-technology.html

Q & A


Thank You


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