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Research Direction Introduction

Advisor: Professor Frank, Y.S. Lin

Presented by Chi-Hsiang Chan

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Agenda Introduction

Collaborative Attack Virtualization

Problem description Scenario

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Agenda Introduction

Collaborative Attack Virtualization

Problem description Scenario

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Collaborative Attack Collaborative attacks are characterized by the

prevalence of coordination before and during attacks. [1]

Collaborative attacks in general would involve multiple human attackers or criminal organizations that have respective adversarial expertise but may not fully trust each other.

Collaborative attacks are more powerful than the sum of the underlying individual attacks that can be launched by the individual attackers independently.

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Collaborative Attack

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Collaborative Attack Advantages of Collaborative Attack [2]

Coordinated attacks could be designed to avoid detection.

It is difficult to differentiate between decoy and actual attacks.

There is a large variety of coordinated attacks.

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Virtualization Definition

Virtualization refers to technologies designed to provide a layer of abstraction between computer hardware systems and the software running on them.[3]

Source: vmware2011/10/11

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Virtualization Benefit

cost down efficiency scalability easy to have multiple operating system

environment increase the space utilization efficiency in your

data center by server consolidation

Virtualization is the key to cloud computing

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IDS an Intrusion detection system (IDS) is a

security system that monitors computer systems and network traffic and analyzes that traffic for possible hostile attacks originating from outside the organization and also for system misuse or attacks originating from inside the organization.[4]

Do more protect than firewall which filter incoming traffic from the Internet.

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IDS Two types of IDS

Host IDS(HIDS) Network IDS(NIDS)

The trade-off is evident when comparing HIDS and NIDS NIDS offers high attack resistance at the cost of

visibility. HIDS offers high visibility but sacrifice attack

resistance.

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Agenda Introduction

Collaborative Attack Virtualization

Problem description Scenario

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Problem Description

?

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Attacker View Commander Attackers

Initial location Budget Capability

Objective Steal confidential information Service disruption

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Defender View Special Defense Resource

Cost budget VM IDS (Signature) [5] Cloud security service

Costless(Decrease QoS) VM local defense Dynamic topology reconfiguration [6]

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Per Hop Decision Period decision

Early stage Late stage

Strategy decision by criteria compromise → risk avoidance pretend to attack → risk tolerance

No. of Attackers Choose ideal attackers

Aggressiveness Attack Energy

Budget Capability

m

m m

T

T t

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Time Issue Attackers

Compromise time Recovery time

Defender Signature generate Reconfiguration impact QoS

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Synergy Pros

Decrease Budget cost of each attacker Less recovery time Less compromise time

Cons Probability of detected

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Early Period, Risk Avoidance Purpose

Try to compromise nodes as fast as they can Keep the stronger attackers for compromise core

nodes

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Agenda Introduction

Collaborative Attack Virtualization

Problem description Scenario

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Scenario

General node Core node Cloud security agent

VMM environment

Third party’s defense center

Cloud security provider

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Scenario

A

B

C

D

E

F

G

H

I

J

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Early Stage Attack Strategy

A

B

C

D

E

F

G

H

I

J

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Local Defense

A

B

C

D

E

F

G

H

I

J

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IPDS request signature

A

B

C

D

E

F

G

H

I

J

Signature generating…

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Late Stage Attack Strategy

Signature generating…

A

B

C

D

E

F

G

H

I

J

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Attack VMM

Signature generating…

A

B

C

D

E

F

G

H

I

J

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Risk Level 、 Reconfiguration

Signature generating…

A

B

C

D

E

F

G

H

I

J

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Cloud Security Service

Signature generating…

A

B

C

D

E

F

G

H

I

J

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Transfer Signature

A

B

C

D

E

F

G

H

I

J

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Failure of Attacker

A

B

C

D

E

F

G

H

I

J

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Failure of Defender

A

B

C

D

E

F

G

H

I

JQoS2011/10/11

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Thanks for your listening!!

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Reference [1] S. Xu, “Collaborative Attack vs. Collaborative Defense”,

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Volume 10, Part 2, pp.217-228, 2009

[2] S. Braynov and M. Jadliwala, “Representation and Analysis of Coordinated Attacks”, FMSE'03, 2003

[3] J. K. Waters, “Virtualization Definition and Solutions”, 2008, http://www.cio.com/article/40701/Virtualization_Definition_and_Solutions

[4] SANS Institute InfoSec Reading Room, "Intrusion Detection Systems: Definition, Need and Challenges," 2001.

[5] T. Garfinkel and M. Rosenblum, “A Virtual Machine Introspection Based Architecture for Intrusion Detection”, Proc. Network and Distributed Systems Security Symposium, 2003 2011/10/11

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Reference [6] M. Atighetchi, P. Pal, F. Webber and C. Jones,

“Adaptive Use of Network-Centric Mechanisms in Cyber-Defense”, BBN Technologies LLC

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Appendix

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Host-based IDS HIDS obtains information by watching local

activity on a host ： processes, system calls, logs, etc.

Advantages ： Detailed information about system activities. Greater accuracy and fewer false positives. 

Weakness ： Highly dependent on host systems.

Can be deactivated or tampered by a successful intruder.

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Network-based IDS NIDS obtains data by monitoring the traffic in

the network. Advantages ：

Operating System-independent. Can detect attack attempts outside the firewall. Difficult for attackers to displace their evidences.

Weakness ： In high-traffic networks, a network monitor could

potentially miss packets, or become a bottleneck. Hard to get detailed information of hosts.

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Period

N ： The total numbers of nodes in the Defense Networks.

F ： The total numbers of node which is compromised in the Defense Networks.

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Selection Criteria

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No. of Attackers

M ： Number of selected candidates Success Rate (SR) = Risk Avoidance

Compromised / Risk Avoidance Attacks

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