Distributed OS: Winter 2011

Readings

January 13, 2011: CCR (two papers)

January 18, 2011: OceanStore and Pond

Internet Governance

Problems to Solve

• Attack computers with almost no consequences
  • DDoS
  • botnets
  • capture and analyze private traffic
  • distribute malware
  • tampering with traffic
  • Unauthorized access to data and resources
  • Impersonate computers, individuals, applications
  • Fraud, theft
  • regulate behavior

Design Principles

• subjects of governance: programs and computers
• bind programs and computers to humans & human organizations, but recognize binding is imperfect
• recognize that "bad" behavior is always possible. "good" behavior is enforced through incentives and sanctions.
• rules will change. Even rules for rule changes will change. Need a "living document" governing how rules are chosen and enforced.

Scenarios

1: Stopping DDoS

Group members: Seyyed, Andrew Schoenrock, Thomas McMahon, Lester Mundt, AbdelRahman

• Have the machine routing packets(could be ISP provider) detect suspicious packets, if the packets are signed, then those suspicious packets could be blocked,

the sender could be put on a black list.

• Stopping DDoS against files, services, programs, etc
  • Have file replication built into the system (similar to OceanStore) so that files are always available from different servers
  • If files are not replicated then we could have a tiered messaging system (at the top level would be OS messages) and servers could then prioritize the incoming traffic. If a given server is experiencing an overload, it could send out a distress signal to its neighbours and then distribute what it is has to them. The system should have a built-in mechanism to re-balance the overall load after something like this happens. This would then mean that any DDoS attack would result in the service being more available.

• Stopping DDoS against specific machines
  • I don't think that this should be specifically addressed. I think measures introduced to guard against this will ultimately negatively impact the overall system in terms of performance.

• Stopping DDoS
  • I'm not sure what it means by stopping, I don't think we can stop DDos given the way things are currently ran, we can only block it. From my knowledge most softwares that stop DDoS do so by blocking, or even complete shut down like Mccolo.

• Stopping DDos
  • One method is to use the same way of eliminating DoS by rejecting a specific rate of subsequent requests but from irrelevant sources.

• How we could stop DDoS would be to have each connection to the internet assigned to a particular identity. This identity would be used to verify who is attempting connections. The reason DDoS works is because currently, IP addresses can be spoofed. The only way to verify an identity is to request a response, but by then the damage is done. With a verified identity, connection attempts being routed can be verified during transmission, so that the request may not necessarily even reach the destination host.

Basically, we need some encryption system using keys so that as the packets are being routed, the identity of the packet's sender can be verified. Ideally the decryption would be trivial so as to prevent noticeable latency. Because an identity is verified, if there is spoofing of packets, they would be dropped during the routing. If all the identities are verified and are still attempting a DDoS attack, the attacker's identity will be traced back to the attacker.

2: Stopping phishing

Group members: Waheed Ahmed, Nicolas Lessard, Raghad Al-Awwad

• A way of automatically checking the signature of a message to make sure it really is from a trusted source.
  • ie: "Nation of Banks, did your member TD send me a message to reset my password?"

• There should be filters to ensure where the message is coming from.If the message is coming from unknown source , it should be blocked.
• Don't use the links in an email to get to any web page, if you suspect the message might not be authentic.

3: Limiting the spread of malware

Group members: keith, Andrew, David Barrera

4: Bandwidth hogs

Group members: Mike Preston, Fahim Rahman, Michael Du Plessis

• limit bandwidth for each user
• if user has significant bandwidth demands for a certain period of time
  • add them to a watch list
  • monitor their behaviour