Freenet: Anonymous Information Storage and Retrieval System

Anonymous Information Storage and Retrieval System

Ashraf Uddin

Sujit Singh

South Asian University

(Master of Computer Application)

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Introduction

Networked Computer Systems are rapidly growing.

Current systems offer little user privacy. Every new data item stored in only one or

few places.

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Freenet

A distributed information storage and retrieval system.

Privacy concerns. No central point failures. Operates as a distributed file system across

many individual computers. Transparent moving, deleting, replication of data

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Freenet Design Goals

Anonymity for producer and consumer of information.

Deniability for storers of information. Resistance to attempts by third parties to deny

access to information. Efficient Dynamic storage and routing of

information. Network functions decentralization.

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Roadmap Architecture

Keys and Searching Retrieving Data Storing Data Managing Data Adding Nodes

Protocol Details Performance Analysis

Network Convergence Scalability Fault Tolerance Small World Model

Security

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Architecture ( 1 / 2)

Freenet implemented as an adaptive peer to peer network of nodes.

Nodes can query each other for information store or retrieval.

Files named after location independent keys. Each node maintains :

Shared Datastore Routing Table of entries ( node address, possible

data keys ).

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Architecture ( 2 / 2)

Requests for keys are passed along from node to node through a chain of proxy requests.

Routes depend on the key. Each request is assigned a hops-to-live value. Each request is assigned a pseudo-unique

random identifier. Joining to the network requires address

discovering of some nodes.

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Keys And Searching

Freenet data files are identified by binary file keys.

Binary file keys obtained by 160bit SHA-1.

Three Types of keys1. Keyword-Signed Key (KSK)2. Signed-Subspace Key ( SSK )3. Content Hash Key ( CHK )

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Keyword-Signed Key (KSK) ( ½)

KSK derived from a descriptive string of the file. The descriptive string is chosen when storing the file.

Based on the descriptive string a public/private key pair is generated.

Public half is hashed to yield the file key. Private half ensures the match of a retrieved file

– sign of the file.

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Keyword-Signed Key (KSK) (2/2)

The user publishes only the descriptive string.

Problem : Global namespace. Collisions, junk file under popular descriptive strings.

The file is encrypted using the descriptive string as a key.

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Signed-Subspace Key ( SSK ) (1/2)

Attacks global namespace problems. A user creates a namespace by randomly

generating a public/private key pair. File insertion based on the private half. File key generation process

1. Public namespace key and descriptive string hashed independently

2. XOR’ed together3. Hash the XOR result.

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Signed-Subspace Key ( SSK ) (2/2)

Private half used to sign the file. User publishes the descriptive string along

with the subspace’s public key. Storing/Adding/Updating data requires the

private key. The file is encrypted using the descriptive

string as a key.

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Content Hash Key ( CHK )

A content hash key is acquired by directly hashing the contents of the corresponding file.

This assigns a pseudo unique file key. Files are encrypted using a randomly generated

hash key. User publishes the content hash key along with

the decryption key. The decryption key is not stored together with

the file.

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Retrieving Data (1/3)

Downstream node : Node to which a request will be passed.

Upstream node : Node to which a reply/data returns.

Process of retrieving data User initiates a request of the form ( binary file key,

hops-to-live) The request is send to “his” node. If found the data is returned with a note indicating who

was the source

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Retrieving Data (2/3)

Continued If not found, the request is propagated to the next node. If found in the next node, the data is returned back across the

path established. Data cached on every intervening node. New route entries are created.

Failures If downstream node “down”, current node tries it’s second

choice. If hops-to-live exceeded, failure message returned to the original

requestor.

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Retrieving Data (3/3)**a request operates as a steepest-ascenthill-climbing search with backtracking.

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1. A initiates request and

asks B if it has file

2. B doesn’t so it asks best-bet

peer = F 3. F doesn’t either and no more nodes to ask so returns “request failed” message

4. B tries its second choice D

B

C

FA

D

EFile is Here!

5. D doesn’t have it so forwards request to C

6. Nor C so forwards request to B

7. B now detects that it has seen this request before so returns a “request failed” message

8. C forwards “request failed back to D

9. D now tries its second choice E

10. Success!! E then returns file back to D who propagates it back to A

11. File sent to B

12. B sends file back to A

An Example-Search

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Effects of the data retrieve process

After some “queries” nodes will specialize in few sets of similar keys. – Similar : Lexicographically.

Nodes will specialize in storing clusters of files with similar keys.

Popular data will be transparently replicated near the “requesting” nodes.

As nodes process requests, new route entries are created – Connectivity increased.

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Lexicographic closeness = Data closeness ? Lexicographic closeness does not imply

descriptive string closeness. E.g Hash keys AH5JK2, AH5JK3, AH5JK5

will most probably refer to completely unrelated files.

This scattering was actually intended in order to attach central points of failures.

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Storing Data ( 1/ 2)

Storing data is similar to the process of retreving data.

Calculate the binary file key, specify hops-to-live. Hops-to-live specifies the number of nodes

where the data will be stored. Nodes accept insert proposals. If the key is found, the node returns the pre-

existing file to the requestor.

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Storing Data ( 2/ 2)

If key not found, the node propagates the request to the next route based on key lexicographic distances.

When hops-to-live reached, a ‘all clear message’ is sent to the original requestor.

The requestor then sends the data to be stored. This data is cached on every node along the

established path. Also route entries are created. Same case of failure as with the retrieve

process.

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Effects of the storing Mechanism

1. New files are cached on nodes that have already stored files with similar keys.

2. Newly added nodes can use the store mechanism to announce their existence.

3. Attackers that may try to insert junk files under existing keys will simply spread the pre-existing files.

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Data Management ( ½)

Finite storage space. Finite route table space. Storage managed by LRU. When a new files comes to be stored and no

space available – LRU entries deleted. Inconsistency between Storage space and route

tables. Routing table entries are deleted in the same

fashion.

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Data Management (2/2)

No guarantee for file lifetime. Nodes can decide to completely drop a

data file. Encryption of storage files : political – legal

reasons.

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Adding Nodes ( ½)

A new node can join the network by discovering the address of one or more existing nodes.

New nodes must “announce” their existence.

Existing nodes would like to know to which keys they should assign the new nodes.

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Adding Nodes (2/2) Process of joining A Freenet System

Candidate node calculates a random seed Sends a message to an existing node containing it’s

address and the hash of the seed. The node that accepts this message generates a

seed XORs it with the hash value of the message and sends it to a randomly chosen node.

When hops-to-live become 0, all nodes reveal their seeds.

All seeds are XORed to produce the new node’s key. Each node add an new entry for the new node in its

routing table under the key.

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Freenet Protocol

Based on messages. Message form

<Transaction id, Hops-To-Live, Depth counter> Depth counter incremented at every hop.

Used by the replying node to ensure that the message will reach the requestor.

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Request Data

The requestor sends a Request.Data message including the search key.

In case of a successful search, the source of the data responds to the upstream node with a Send.Data message.

In case of unsuccessful search or hops-to-live exhausted, Reply.NotFound message is sent.

If the request reached a dead end or loop detected and HTL not 0 , a Request.Continue message is sent back to the upstream node containing the remaining HTL.

the remote node may periodically send back Reply.Restart messages

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Store Data

The requesting node sends a Request.Insert message which contains the proposed key.

The store message is propagated from node to node based on route entries.

In case of a collision a Send.Data message or a Reply.NotFound message is sent back.

If now more nodes can be accessed but there are HTL, a Request.Continue message is sent.

If HTL become 0 without having encoutered a collision, a Reply.Insert message is propagated to the upstream node.

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Performance Analysis

Network Convergence Scalability Fault Tolerance Small World Model

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Network Convergence (1/2)

1000 nodes.50 items data store each and a routing table of 150 entries.

Each node has routing entries only for his two closest neighbors.

Random keys were inserted to random nodes. Every 100 time steps, 300 random requests for

previously inserted files were performed with HTL=500.

Request path length = Number of hops taken before finding the data.

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Network Convergence (2/2)

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Scalability (1/2)

20 nodes were used initially. Inserts and requests were performed

randomly as previously. Every 5 time steps a new node was

created and inserted to the network. The announcement message was sent to

a randomly chosen node.

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Scalability (2/2)

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Fault tolerance (1/2)

Network of 1000 nodes. Progressively removed randomly chosen nodes

to simulate node failures. Freenet is extremely robust against node

failures. The median pathlength remains below 20 even

when up to 30% of the nodes have failed.

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Fault tolerance (2/2)

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Small World Networks Model

The scalability and fault-tolerance characteristics of Freenet can be explained in terms of a small-world network model

The majority of the nodes have a few local connections to other nodes.

Few nodes have large wide ranging connections. Nodes are well connected – short paths among them. Small world networks are fault tolerant.

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Is Freenet a small world? There must be a scale-free power-law

distribution of links within the network.

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Security issues

Primary goal is protecting the anonymity of both requestors and inserters of data.

Protect the identity of the node that holds some specific data.

If a malicious user intends to remove a data file, he is hindered by the anonymity of the node that holds the file.

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Free net – Prerouting

Freenet Messages are encrypted by a succession of public keys which determine the route that message will follow.

Nodes along the route cannot determine either the originator of the message or its contents( since encrypted ).

After the end of the prerouting phase, the message will be inserted into the Freenet pretending that the endpoint of the preroute was the originator of the message.

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Data sources Protection

While a node replies to its upstream node that he is the source of some file, he can intentionally hide his address.

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Other security concerns

Modification of requested files. A node steering all the traffic to itself

pretending it owns all the data files. DoS Attacks.

Attempting to exhaust the storage space. “pay” a long computation. Divide datastore to a “new files” section and to a

“established files” section.

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Gnutella

Many similarities exist between Freenet and Gnutella

Everyone is visible to everyone else as long as you are ‘online’

Users are split up into groups Gnutella employs a broadcast search

for files which grows exponentially

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Napster

Napster has a centralized server, which does not store any data

It coordinates searches of users Security risk –

If centralized server is shut down, no way of distributing files

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Conclusions

Effective means of anonymus information storage and retrieval.

Highly scalable.

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