Internet Causes - E-Commerce - Lecture Slides, Slides of Fundamentals of E-Commerce

Students of Computer Science, study E-Commerce as an auxiliary subject. these are the key points discussed in these Lecture Slides of E-Commerce : Internet Causes, Telephone Network, Traffic, Communications, Companies, Internet, Business Question, Internet Service, Market Public Infrastructure, Existing Businesses

Typology: Slides

2012/2013

Uploaded on 07/29/2013

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1
Telephone Network
Connection-based
Admission control
Intelligence is “in the
network”
Traffic carried by
relatively few, “well-
known”,
communications
companies
Internet
Packet-based
Best effort
Intelligence is “at
the endpoints”
Traffic carried by
many routers,
operated by a
changing set of
“unknown” parties
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1

Telephone Network

  • Connection-based
  • Admission control
  • Intelligence is “in the network”
  • Traffic carried by relatively few, “well- known”, communications companies

Internet

  • Packet-based
  • Best effort
  • Intelligence is “at the endpoints”
  • Traffic carried by many routers, operated by a changing set of “unknown” parties

2

Business Question: How to price Internet Service?

Technical and Business Question(s): How to provide different QoS levels and how to charge for them?

Technical, Business, and “Policy” Question: Does “intelligence at the endpoints” make sense for a mass-market public infrastructure?

Shift to Internet Causes

  • Changes in existing businesses (e.g., telepresense)
  • New ways to do old kinds of business (e.g., WWW-based retail)
  • New kinds of businesses (e.g., Internet “infrastructure” providers)

4

References

  • D. Stinson, Cryptography: Theory and Practice, CRC Press, Boca Ration, 1995
  • G. Simmons (ed.), Contemporary Cryptology: The Science of Information Integrity, IEEE Press, NY,
  • A, Menezes et al., Handbook of Applied Cryptography, CRC Press, Boca Ration, 1997.
  • IACR Publications: J. Cryptology, Crypto Proceedings, Eurocrypt Proceedings http://www.iacr. org

Symmetric Key Crypto

D(E(x, k), k) = x (decryption, encryption, plaintext, key)

  • Alice and Bob choose kAB
  • Alice: y <-- E(x, kAB) (ciphertext)
  • Alice --> Bob: y
  • Bob: x <-- D(y, kAB) (Eve does not know kAB)

5

Well Studied and Commercially Available

  • DES
  • IDEA
  • FEAL-n
  • RC
  • AES
  • Users must deal with
  • Government (especially export)
  • Key management

Public Key Crypto

D(E(x, PKu), SKu) = x (user’s Secret Key, user’s public key) Bob generates SKbob, PKbob Bob publishes PKbob Alice: Lookup PKbob y <-- E (x, PKbob) Alice -->Bob: y Bob: x <-- D(y, SKbob) (Eve does not know SKbob)

7

Signature Procedure

Doc SKjf

SIG

Verification Procedure

Doc PKjf SIG

Accept / Reject

8

Examples

• RSA
  • El Gamal
  • DSA
  • McEliece

http://www.bob-soft.com

P( )

{.. .} SP

SP = signature(P, SKbob)

10

Traditional Meaning

Bob-soft fl‡ PK bob

Accurate?

Traditional Solution

Alice’s

Computer PK^ CA

Bootstrapping Trust

(Bob-soft, PKbob) SKCA

Signature Algorithm

CERTbob Name 1 , PK 1 , CERT 1 Name. 2 , PK. 2 , CERT. 2 .. .. ..

11

  • Technical Question: Is this the right PK?
  • Business Question: Can you make money selling public-key certificates?
  • Political Question: Crypto export
  • Legal Question: Do we have a right to use encryption? To some form of “electronic privacy”?

Changes in the Technology and

the Economics of Publishing

  • Computers and Digital Documents
  • WWW-based Publication
  • Internet Distribution

13

Technical, Business, and Legal Questions

  • Is current copyright law technically feasible to implement and deploy on the Internet? (“copy-centric,” “fair use is a defense, not a right”)
  • To what extent is copyright compliance monitorable? To what extent should it be monitored?

Global Network vs. Local Expectations

  • Intellectual Property Law
  • Censorship
  • Banking Law

14

WWW Searching

  • Technical Question: How to do it? (short answer: Linear Algebra)
  • Business Question: How to make a business out of it? What is the role of advertising?
  • Legal and Ethical Question: What conclusions should be drawn about people (by, e.g., gov’t, employers, insurance companies…) based on what they search for and what they find?

WWW-Based, B2C Retail

Business Question: What to sell?

Business Question: How to capture and use customer information?

  • Massive scale
  • Variable Quality
  • Numerous Formats and Intermediaries

16

WWW-Based, B2B “exchanges”

Economics and CS Challenge: Market Design

Technical, Business, and Legal Question: Do “industry-sponsored” electronic market places promote monopoly and monopsony?