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1 The Darknet and the Future of Content Distribution
2 Peter
Biddle, Paul England, Marcus Peinado, and Bryan Willman
4 Abstract
5 We investigate the darknet - a collection of networks and technologies used to
share digital content. The darknet is not a separate physical network but an
application and protocol layer riding on existing networks. Examples of darknets
are peer-to-peer file sharing, CD and DVD copying, and key or password sharing
on email and newsgroups. The last few years have seen vast increases in the
darknet's aggregate bandwidth, reliability, usability, size of shared library,
and availability of search engines. In this paper we categorize and analyze
existing and future darknets, from both the technical and legal perspectives.
We speculate that there will be short-term impediments to the effectiveness of
the darknet as a distribution mechanism, but ultimately the darknet-genie will
not be put back into the bottle. In view of this hypothesis, we examine the
relevance of content protection and content distribution architectures.
6 People have always copied
things. In the past, most items of value were physical objects. Patent law and
economies of scale meant that small scale copying of physical objects was usually
uneconomic, and large-scale copying (if it infringed) was stoppable using
policemen and courts. Today, things of value are increasingly less tangible:
often they are just bits and bytes or can be accurately represented as bits and
bytes. The widespread deployment of packet-switched networks and the huge
advances in computers and codec-technologies has made it feasible (and indeed
attractive) to deliver such digital works over the Internet. This presents
great opportunities and great challenges. The opportunity is low-cost delivery
of personalized, desirable high-quality content. The challenge is that such
content can be distributed illegally. Copyright law governs the legality of
copying and distribution of such valuable data, but copyright protection is
increasingly strained in a world of programmable computers and high-speed
networks.
7 For example, consider the staggering
burst of creativity by authors of computer programs that are designed to share
audio files. This was first popularized by Napster, but today several popular
applications and services offer similar capabilities. CD-writers have become
mainstream, and DVD-writers may well follow suit. Hence, even in the absence
of network connectivity, the opportunity for low-cost, large-scale file sharing
exists.
8 Throughout this paper, we will
call the shared items (e.g. software programs, songs, movies, books, etc.) objects. The persons who copy objects will be called users of the darknet, and the computers used to share objects
will be called hosts.
9 The idea of the darknet is based
upon three assumptions:
10 1.
Any widely distributed object will be available to a fraction of users
in a form that permits copying.
11 2.
Users will copy objects if it is possible and interesting to do so.
12 3. Users are
connected by high-bandwidth channels.
13 The darknet is the distribution network that emerges from the
injection of objects according to assumption 1 and the distribution of those objects
according to assumptions 2 and 3.
14 One implication of the first
assumption is that any content protection system will leak popular or
interesting content into the darknet, because some fraction of users--possibly
experts-will overcome any copy prevention mechanism or because the object will
enter the darknet before copy protection occurs.
15 The term 'widely distributed' is
intended to capture the notion of mass market distribution of objects to
thousands or millions of practically anonymous users. This is in contrast to
the protection of military, industrial, or personal secrets, which are
typically not widely distributed and are not the focus of this paper.
16 Like other networks, the darknet
can be modeled as a directed graph with labeled edges. The graph has one vertex
for each user/host. For any pair of vertices (u,v), there is a directed edge
from u to v if objects can be copied from u to v. The edge labels can be used
to model relevant information about the physical network and may include
information such as bandwidth, delay, availability, etc. The vertices are characterized
by their object library, object requests made to other vertices, and object
requests satisfied.
17 To operate effectively, the
darknet has a small number of technological and infrastructure requirements,
which are similar to those of legal content distribution networks. These
infrastructure requirements are:
18 1. facilities
for injecting new objects into the darknet (input)
19 2. a
distribution network that carries copies of objects to users (transmission)
20 3. ubiquitous
rendering devices, which allow users to consume objects (output)
21 4. a search
mechanism to enable users to find objects (database)
22 5. storage
that allows the darknet to retain objects for extended periods of time.
Functionally, this is mostly a caching mechanism that reduces the load and
exposure of nodes that inject objects.
23 The dramatic rise in the
efficiency of the darknet can be traced back to the general technological
improvements in these infrastructure areas. At the same time, most attempts to
fight the darknet can be viewed as efforts to deprive it of one or more of the
infrastructure items. Legal action has traditionally targeted search engines
and, to a lesser extent, the distribution network. As we will describe later in
the paper, this has been partially successful. The drive for legislation on
mandatory watermarking aims to deprive the darknet of rendering devices. We will
argue that watermarking approaches are technically flawed and unlikely to have
any material impact on the darknet. Finally, most content protection systems
are meant to prevent or delay the injection of new objects into the darknet.
Based on our first assumption, no such system constitutes an impenetrable
barrier, and we will discuss the merits of some popular systems.
24 We see no technical
impediments to the darknet becoming increasingly efficient (measured by
aggregate library size and available bandwidth). However, the darknet, in all
its transport-layer embodiments, is under legal attack. In this paper, we
speculate on the technical and legal future of the darknet, concentrating
particularly, but not exclusively, on peer-to-peer networks.
25 The rest of this paper is
structured as follows. Section 2 analyzes different manifestations of the
darknet with respect to their robustness to attacks on the infrastructure
requirements described above and speculates on the future development of the
darknet. Section 3 describes content protection mechanisms, their probable
effect on the darknet, and the impact of the darknet upon them. In sections 4
and 5, we speculate on the scenarios in which the darknet will be effective, and
how businesses may need to behave to compete effectively with it.
26 We classify the different
manifestations of the darknet that have come into existence in recent years with
respect to the five infrastructure requirements described and analyze
weaknesses and points of attack.
27 As a system, the darknet is
subject to a variety of attacks. Legal action continues to be the most powerful
challenge to the darknet. However, the darknet is also subject to a variety of
other common threats (e.g. viruses, spamming) that, in the past, have lead to
minor disruptions of the darknet, but could be considerably more damaging.
28 In this section we consider the
potential impact of legal developments on the darknet. Most of our analysis
focuses on system robustness, rather than on detailed legal questions. We
regard legal questions only with respect to their possible effect: the failure
of certain nodes or links (vertices and edges of the graph defined above). In
this sense, we are investigating a well known problem in distributed systems.
29 Prior to the mid 1990s, copying
was organized around groups of friends and acquaintances. The copied objects
were music on cassette tapes and computer programs. The rendering devices were
widely-available tape players and the computers of the time - see Fig. 1.
Content injection was trivial, since most objects were either not copy
protected or, if they were equipped with copy protection mechanisms, the
mechanisms were easily defeated. The distribution network was a 'sneaker net'
of floppy disks and tapes (storage), which were handed in person between
members of a group or were sent by postal mail. The bandwidth of this network -
albeit small by today's standards - was sufficient for the objects of the time.
The main limitation of the sneaker net with its mechanical transport layer was
latency. It could take days or weeks to obtain a copy of an object. Another
serious limitation of these networks was the lack of a sophisticated search
engine.
30 There were limited attempts to
prosecute individuals who were trying to sell copyrighted objects they had
obtained from the darknet (commercial piracy). However, the darknet as a whole
was never under significant legal threat. Reasons may have included its limited
commercial impact and the protection from legal surveillance afforded by sharing
amongst friends.
31 The sizes of object libraries
available on such networks are strongly influenced by the interconnections
between the networks. For example, schoolchildren may copy content from their
'family network' to their 'school network' and thereby increase the size of the
darknet object library available to each. Such networks have been studied
extensively and are classified as 'interconnected small-worlds networks.' [24]
There are several popular examples of the characteristics of such systems. For
example, most people have a social group of a few score of people. Each of
these people has a group of friends that partly overlap with their friends'
friends, and also introduces more people. It is estimated that, on average,
each person is connected to every other person in the world by a chain of about
six people from which arises the term 'six degrees of separation'.
32 These findings are remarkably
broadly applicable (e.g. [20]
[20,[3]3]).
The chains are on average so short because certain super-peers have many
links. In our example, some people are gregarious and have lots of friends
from different social or geographical circles..
33 We suspect that these findings
have implications for sharing on darknets, and we will return to this point
when we discuss the darknets of the future later in this paper.
34 The small-worlds darknet continues
to exist. However, a number of technological advances have given rise to new
forms of the darknet that have superseded the small-worlds for some object
types (e.g. audio).
35 By 1998, a new form of the
darknet began to emerge from technological advances in several areas. The
internet had become mainstream, and as such its protocols and infrastructure
could now be relied upon by anyone seeking to connect users with a centralized
service or with each other. The continuing fall in the price of storage
together with advances in compression technology had also crossed the threshold
at which storing large numbers of audio files was no longer an obstacle to mainstream
users. Additionally, the power of computers had crossed the point at which they
could be used as rendering devices for multimedia content. Finally, 'CD
ripping' became a trivial method for content injection.
36 The first embodiments of this
new darknet were central internet servers with large collections of MP3 audio
files. A fundamental change that came with these servers was the use of a new
distribution network: The internet displaced the sneaker net - at least for
audio content. This solved several problems of the old darknet. First, latency
was reduced drastically.
37 Secondly, and more importantly,
discovery of objects became much easier because of simple and powerful search
mechanisms - most importantly the general-purpose world-wide-web search engine.
The local view of the small world was replaced by a global view of the entire
collection accessible by all users. The main characteristic of this form of the
darknet was centralized storage and search - a simple architecture that
mirrored mainstream internet servers.
38 Centralized or quasi-centralized
distribution and service networks make sense for legal online commerce.
Bandwidth and infrastructure costs tend to be low, and having customers visit a
commerce site means the merchant can display adverts, collect profiles, and
bill efficiently. Additionally, management, auditing, and accountability are
much easier in a centralized model.
39 However, centralized schemes
work poorly for illegal object distribution
because large, central servers are large single points of failure: If the
distributor is breaking the law, it is relatively easy to force him to stop.
Early MP3 Web and FTP sites were commonly 'hosted' by universities,
corporations, and ISPs. Copyright-holders or their representatives sent 'cease
and desist' letters to these web-site operators and web-owners citing copyright
infringement and in a few cases followed up with legal action [15]. The
threats of legal action were successful attacks on those centralized networks,
and MP3 web and FTP sites disappeared from the mainstream shortly after they
appeared.
40 The realization that centralized
networks are not robust to attack (be it legal or technical) has spurred much
of the innovation in peer-to-peer networking and file sharing technologies. In
this section, we examine architectures that have evolved. Early systems were
flawed because critical components remained centralized (Napster) or because of
inefficiencies and lack of scalability of the protocol (gnutella) [17]. It
should be noted that the problem of object location in a massively distributed,
rapidly changing, heterogeneous system was new at the time peer-to-peer systems
emerged. Efficient and highly scalable protocols have been proposed since then [9]
[9,[23]23].
41 2.3.1. Napster
42 Napster was the service that
ignited peer-to-peer file sharing in 1999 [14]. There should be little doubt
that a major portion of the massive (for the time) traffic on Napster was of copyrighted
objects being transferred in a peer-to-peer model in violation of copyright law.
Napster succeeded where central servers had failed by relying on the
distributed storage of objects not under the control of Napster. This moved the
injection, storage, network distribution, and consumption of objects to users.
43 However, Napster retained a
centralized database[2] with a searchable index on the file
name. The centralized database itself became a legal target [15]. Napster was
first enjoined to deny certain queries (e.g. 'Metallica') and then to police
its network for all copyrighted content. As the size of the darknet indexed by
Napster shrank, so did the number of users. This illustrates a general
characteristic of darknets: there is positive feedback between the size of the
object library and aggregate bandwidth and the appeal of the network for its
users.
44 The next technology that sparked
public interest in peer-to-peer file sharing was Gnutella. In addition to
distributed object storage, Gnutella uses a fully distributed database
described more fully in [13]. Gnutella does not rely upon any centralized
server or service - a peer just needs the IP address of one or a few
participating peers to (in principle) reach any host on the Gnutella darknet.
Second, Gnutella is not really 'run' by anyone: it is an open protocol and
anyone can write a Gnutella client application. Finally,
Gnutella and its descendants go beyond sharing audio and have substantial
non-infringing uses. This changes its legal standing markedly and puts it in a
similar category to email. That is, email has substantial non-infringing use,
and so email itself is not under legal threat even though it may be used to transfer
copyrighted material unlawfully.
45 Fully distributed peer-to-peer systems
do not present the single points of failure that led to the demise of central
MP3 servers and Napster. It is natural to ask how robust these systems are and
what form potential attacks could take. We observe the following weaknesses in Gnutella-like
systems:
46 ?
Free riding
47 ?
Lack of anonymity
48 Peer-to-peer systems are often
thought of as fully decentralized networks with copies of objects uniformly
distributed among the hosts. While this is possible in principle, in practice,
it is not the case. Recent measurements of libraries shared by gnutella peers
indicate that the majority of content is provided by a tiny fraction of the
hosts [1]. In effect, although gnutella appears to be a peer-to-peer network of cooperating hosts, in actual fact it
has evolved to effectively be another largely centralized system - see Fig. 2. Free
riding (i.e. downloading objects without
sharing them) by many gnutella users appears to be main cause of this
development. Widespread free riding removes much of the power of network
dynamics and may reduce a peer-to-peer network into a simple unidirectional
distribution system from a small number of sources to a large number of
destinations. Of course, if this is the case, then the vulnerabilities that we
observed in centralized systems (e.g. FTP-servers) are present again. Free
riding and the emergence of super-peers have several causes:
49 Peer-to-peer file sharing
assumes that a significant fraction of users adhere to the somewhat
post-capitalist idea of sacrificing their own resources for the 'common good'
of the network. Most free-riders do not seem to adopt this idea. For example,
with 56 kbps modems still being the network connection for most users, allowing
uploads constitutes a tangible bandwidth sacrifice. One approach is to make
collaboration mandatory. For example, Freenet [6] clients are required to
contribute some disk space. However, enforcing such requirements without a
central infrastructure is difficult.
50 Existing infrastructure is
another reason for the existence of super-peers. There are vast differences in
the resources available to different types of hosts. For example, a T3
connection provides the combined bandwidth of about one thousand 56 kbps telephone
connections.
51 Users of gnutella who share
objects they have stored are not anonymous. Current peer-to-peer networks
permit the server endpoints to be determined, and if a peer-client can
determine the IP address and affiliation of a peer, then so can a lawyer or
government agency. This means that users who share copyrighted objects face
some threat of legal action. This appears to be yet another explanation for
free riding.
52 There are some possible
technological workarounds to the absence of endpoint anonymity. We could
imagine anonymizing routers, overseas routers, object fragmentation, or some
other means to complicate the effort required by law-enforcement to determine
the original source of the copyrighted bits. For example, Freenet tries to hide
the identity of the hosts storing any given object by means of a variety of
heuristics, including routing the object through intermediate hosts and
providing mechanisms for easy migration of objects to other hosts. Similarly,
Mnemosyne [10] tries to organize object storage, such that individual hosts may
not know what objects are stored on them. It is conjectured in [10] that this
may amount to common-carrier status for the host. A detailed analysis of the legal
or technical robustness of these systems is beyond the scope of this paper.
53 In light of these weaknesses,
attacks on gnutella-style darknets focus on their object storage and search
infrastructures. Because of the prevalence of super-peers, the gnutella darknet
depends on a relatively small set of powerful hosts, and these hosts are
promising targets for attackers.
54 Darknet hosts owned by
corporations are typically easily removed. Often, these hosts are set up by
individual employees without the knowledge of corporate management. Generally
corporations respect intellectual property laws. This together with their
reluctance to become targets of lawsuits, and their centralized network of
hierarchical management makes it relatively easy to remove darknet hosts in the
corporate domain.
55 While the structures at
universities are typically less hierarchical and strict than those of
corporations, ultimately, similar rules apply. If the .com and .edu T1 and T3
lines were pulled from under a darknet, the usefulness of the network would
suffer drastically.
56 This would leave DSL, ISDN, and
cable-modem users as the high-bandwidth servers of objects. We believe limiting
hosts to this class would present a far less effective piracy network today from
the perspective of acquisition because of the relative rarity of high-bandwidth
consumer connections, and hence users would abandon this darknet. However,
consumer broadband is becoming more popular, so in the long run it is probable
that there will be adequate consumer bandwidth to support an effective consumer
darknet.
57 The obvious next legal
escalation is to bring direct or indirect (through the affiliation) challenges
against users who share large libraries of copyrighted material. This is already
happening and the legal threats or actions appear to be successful [7]. This requires
the collaboration of ISPs in identifying their customers, which appears to be
forthcoming due to requirements that the carrier must take to avoid liability[3]
and, in some cases, because of corporate ties between ISPs and content
providers. Once again, free riding makes this attack strategy far more
tractable.
58 It is hard to predict further
legal escalation, but we note that the DMCA (digital millennium copyright act)
is a far-reaching (although not fully tested) example of a law that is
potentially quite powerful. We believe it probable that there will be a few
more rounds of technical innovations to sidestep existing laws, followed by new
laws, or new interpretations of old laws, in the next few years.
59 All attacks we have identified
exploit the lack of endpoint anonymity and are aided by the effects of free
riding. We have seen effective legal measures on all peer-to-peer technologies
that are used to provide effectively global access to copyrighted material.
Centralized web servers were effectively closed down. Napster was effectively
closed down. Gnutella and Kazaa are under threat because of free rider
weaknesses and lack of endpoint anonymity.
60 Lack of endpoint anonymity is a
direct result of the globally accessible global object database, and it is the
existence of the global database that most distinguishes the newer darknets
from the earlier small worlds. At this point, it is hard to judge whether the
darknet will be able to retain this global database in the long term, but it
seems seems clear that legal setbacks to global-index peer-to-peer will
continue to be severe.
61 However, should Gnutella-style systems
become unviable as darknets, systems, such as Freenet or Mnemosyne might take
their place. Peer-to-peer networking and file sharing does seem to be entering
into the mainstream - both for illegal and legal uses. If we couple this with
the rapid build-out of consumer broadband, the dropping price of storage, and
the fact that personal computers are effectively establishing themselves as
centers of home-entertainment, we suspect that peer-to-peer functionality will
remain popular and become more widespread.
62 In this section we try to
predict the evolution of the darknet should global peer-to-peer networks be
effectively stopped by legal means. The globally accessible global database is
the only infrastructure component of the darknet that can be disabled in this
way. The other enabling technologies of the darknet (injection, distribution
networks, rendering devices, storage) will not only remain available, but
rapidly increase in power, based on general technological advances and the
possible incorporation of cryptography. We stress that the networks described
in this section (in most cases) provide poorer services than global network,
and would only arise in the absence of a global database.
63 In the absence of a global
database, small-worlds networks could again become the prevalent form of the
darknet. However, these small-worlds will be more powerful than they were in
the past. With the widespread availability of cheap CD and DVD readers and
writers as well as large hard disks, the bandwidth of the sneaker net has
increased dramatically, the cost of object storage has become negligible and
object injection tools have become ubiquitous. Furthermore, the internet is
available as a distribution mechanism that is adequate for audio for most
users, and is becoming increasingly adequate for video and computer programs. In
light of strong cryptography, it is hard to imagine how sharing could be observed
and prosecuted as long as users do not share with strangers.
64 In concrete terms, students in
dorms will establish darknets to share content in their social group. These
darknets may be based on simple file sharing, DVD-copying, or may use special
application programs or servers: for example, a chat or instant-messenger client
enhanced to share content with members of your buddy-list. Each student will
be a member of other darknets: for example, their family, various special
interest groups, friends from high-school, and colleagues in part-time jobs
(Fig. 3). If there are a few active super-peers - users that locate and share
objects with zeal - then we can anticipate that content will rapidly diffuse
between darknets, and relatively small darknets arranged around social groups
will approach the aggregate libraries that are provided by the global darknets
of today. Since the legal exposure of such sharing is quite limited, we believe
that sharing amongst socially oriented groups will increase unabated.
65 Small-worlds networks suffer
somewhat from the lack of a global database; each user can only see the objects
stored by his small world neighbors. This raises a number of interesting
questions about the network structure and object flow:
66 ?
What graph structure will the network have? For example, will it
be connected? What will be the average distance between two nodes?
67 ?
Given a graph structure, how will objects propagate through the
graph? In particular, what fraction of objects will be available at a given
node? How long does it take for objects to propagate (diffuse) through the network?
68 Questions of this type have been
studied in different contexts in a variety of fields (mathematics, computer
science, economics, and physics). A number of empirical studies seek to
establish structural properties of different types of small world networks,
such as social networks [20] and the world-wide web [3]. These works conclude
that the diameter of the examined networks is small, and observe further
structural properties, such as a power law of the degree distribution [5], A
number of authors seek to model these networks by means of random graphs, in
order to perform more detailed mathematical analysis on the models [2]
[2,[8]8,[21]21,[22]22]
and, in particular, study the possibility of efficient search under different
random graph distributions [2][2,[8]8,[21]21,[22]22]
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