bandwidth dos attacks and defenses robert morris frans kaashoek, hari balakrishnan, students mit lcs

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Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

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Page 1: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Bandwidth DoS Attacks and Defenses

Robert Morris

Frans Kaashoek, Hari Balakrishnan, Students

MIT LCS

Page 2: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

What is a Denial of Service Attack?

• Goal: make a service unusable.

• How: overload a server, router, network link.

• Focus: bandwidth attacks (“trinoo”, “tfn”).

Page 3: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Logical View of Attack NetAttacker

Master

Victim

Slave SlaveSlave SlaveSlave

Control Traffic

Attack Traffic

Page 4: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Attack Targets

App

O/S

OtherCustomers

OtherISPs

Customer’s LAN

Customer’sRouter

ISPRouter Link

Host

Page 5: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Attacks use IP Packets

IP Header: Source Address Destination Address

User Data

• Routers forward each packet independently.• Routers don’t know about connections.• Complexity is in end hosts; routers are simple.

Page 6: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Outline

• Case study: Yahoo.– What happened.– Analysis.

• Our framework for defense: RON.

Page 7: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Case Study: Yahoo Attack

• Early February 2000.

• Took Yahoo off the net for hours.

Page 8: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Yahoo’s Point of View

ISPRouter

Yahoo’sRouter

1 Gbit/secondof Ping Response

packets.

www.yahoo.com

Page 9: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Yahoo Attack Overview

Yahoo’s ISP

Yahoo

Other ISPs

Co-locationCenters

Page 10: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Attack Packet Generation

Co-locationCenter

M S1 S2 … Sn

Internet

Ping,DST=bcast,SRC=Yahoo

Ping Responses,DST=Yahoo

LeaderSlaves

Page 11: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

What did the attack depend on?

• Pervasive insecure hosts.

• Fake IP source addresses.

• Use of hosts as amplifiers.

• Weak router software.

• Difficulty of diagnosis.

Page 12: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Pervasive Insecure Hosts

• Required for disguise and to generate enough traffic.• How do they break in?

– Buffer overruns.– Typically Solaris and Linux.– Highly automated.

• Defenses?– Better programming practices.– Disable services by default.– Firewalls, intrusion detection.– Motivation for deployment is not strong.

Page 13: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Fake IP Source Addresses

• Two uses:– Hide the source of attack.– Part of weapon.

• Example: SYN flooding.

• Defense:– Ingress/egress filtering.– But motivation for deployment is not strong.

Page 14: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Ingress Filtering

ISP 1

ISP 3

ISP 2

Site 1

Victim

Site 2

AttackerSRC=Site2

Page 15: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Use of Hosts as Amplifiers

• Attackers need this:– To avoid using their own machines.– To generate lots of traffic.– To avoid detection via load monitoring.

• Two approaches:– Break into 1000s of machines.– Trick legitimate machines into generating

traffic.

Page 16: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Weak Router Software

• Routers themselves are often victims.

• Why?– Forwarding and management compete for CPU.– Control and data traffic compete for net b/w.

• Solutions?– Simplify and partition.

Page 17: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Difficulty of Diagnosis

• Very little automatic support for traffic analysis and correlation.– Is the high load legitimate?– What does the attack consist of?– Where does the attack come from?– How ask upstream routers to discard attack

packets?

• Defense: distributed analysis system.

Page 18: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Why are these attacks easy?

• Internet built around end-to-end principle:– Most functions done by end hosts.

– Examples: reliable delivery.

• Advantages:– Simplifies network core.

• Example: IP packet forwarding.

• Example: it’s easy to start an ISP.

– Anyone can introduce new services.

• Result: lots of innovation.

Page 19: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Why is defense hard?

• End-to-end principle conflicts with:– Centralized control.– Centralized monitoring.– Separation of data from control traffic.– Mandatory authentication.– Mandatory accounting.

Page 20: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

RON Project

• End-to-end framework for:– Cooperative statistics collection.– Cooperative reaction to attacks.– Fault-tolerant control and data routing.

• How: resilient overlay network (RON).

• Funded by DARPA/IA/FTN.

Page 21: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

What is an Overlay Network?

ISP1

ISP2

N1

N4

N3

N5

N2

• Better routing functions built in end hosts.• Can be used to build distributed defenses.

Page 22: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Why Distributed Defenses?

• Presence of attack obvious near victim.– Not obvious near sources of attack.– But control is easier near sources.

• Identifying attackers requires cooperation.– Asymmetric routing.– Fake source addresses.

Page 23: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Why Distribution is Hard

• RON itself is a target.

• Authorized communication between RON nodes.

• Bandwidth attacks on RON nodes.

• Application-level DoS attacks.

• Political / deployment problems.– Needs cooperation? Or single-organization?

Page 24: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Monitoring Scenario

Backbone B1

Backbone B2

N1

N4

N3

N5

N2

Attacker

Victim

1. Measure

2. Communicate

3. Control

Page 25: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Fault-Tolerant Routing

• Use Internet to connect multiple sites.

• Inter-ISP routing:– Ignores link quality.– Ignores many available paths due to policy.– Chooses only one path.– Reacts slowly.

• RON allows end-system control of routing.

Page 26: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Fault-tolerant Routing (2)

Backbone B1

Backbone B2

PeeringPoint Q

N1

N4

N3

N5

PeeringPoint P

N2

Attacker

Page 27: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Peer-to-Peer Networking

• Multi-organization overlays.

• Early work: Gnutella and FreeNet.– Data replicated at many sites.– Queries traverse reliable overlay.– Explicit protection of virtual infrastructure.

Page 28: Bandwidth DoS Attacks and Defenses Robert Morris Frans Kaashoek, Hari Balakrishnan, Students MIT LCS

Summary

• Raise the bar:– Improve host security.– Make it hard to fake IP addresses.

• Experiment with RON-like and peer-to-peer architectures.