Intellectual property and computer crime: Analyse the laws relating to trade secrets, patents, copyright, fair use and restrictions, peer-to-peer.

Lesson 43/59 | Study Time: Min


Trade Secrets: The Unsung Heroes of Business Survival

Let's start by delving into the intriguing world of trade secrets. Put simply, trade secrets represent an enterprise's very lifeblood - the proprietary knowledge that provides a competitive edge. From the recipe for Coca-Cola to Google's search algorithm, trade secrets encompass confidential, commercially valuable information that businesses go to great lengths to protect. Legally, they are safeguarded by various national and international laws, such as the Economic Espionage Act in the U.S, which criminalizes any theft or misappropriation of trade secrets.

Patents: The Shield of Invention

Moving on, let's explore the realm of patents. A patent grants an inventor exclusive rights to an innovation, preventing others from making, using, or selling the invention without permission. The case of Alexander Graham Bell and Elisha Gray's dispute over the patent for the telephone is a prime example of the power of patent laws. Bell's patent ultimately held, establishing him as the "inventor" of the telephone, and allowing him to reap the financial rewards.

Copyright, Fair Use and Restrictions: Navigating the Literary Labyrinth

Now, let's delve into the fascinating labyrinth of copyright laws and fair use. Simply put, copyright laws protect creative works (like books, music, movies, etc.), while fair use allows limited use of copyrighted material without requiring permission from the rights holders. The story of J.D. Salinger's lawsuit against the writer and publisher of a "sequel" to his novel The Catcher in the Rye, demonstrates the interplay of these concepts. Salinger's copyright held, and the court judged that the sequel did not meet the standards for fair use, protecting Salinger's rights and preventing the publication of the unauthorized sequel.

Peer-to-Peer Protections: An Internet Minefield

The digital age has brought us peer-to-peer (P2P) protections, adding a new degree of complexity to the legal landscape. P2P networks, like BitTorrent, allow users to share files directly with each other - a system that often leads to copyright infringement. The landmark case of A&M Records, Inc. v. Napster, Inc. set a precedent for holding P2P platforms accountable for copyright infringement by their users.

Open Source: A Unique Legal Landscape

Finally, let's venture into the unique world of open source software, which is freely available to use, modify, and distribute. However, it's important to note that 'free' doesn't mean 'without rules'. Open source software is governed by licenses like the GNU General Public License (GPL) that set conditions for use and distribution. The legal battle between BusyBox and Monsoon Multimedia over GPL violations showcases the potential legal pitfalls in the open source world.


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1- Introduction 2- Models of data communication and computer networks: Analyse the models used in data communication and computer networks. 3- Hierarchical computer networks: Analyse the different layers in hierarchical computer networks. 4- IP addressing in computer networks: Set up IP addressing in a computer network. 5- Static and dynamic routing: Set up static and dynamic routing in a computer network. 6- Network traffic management and control: Manage and control network traffic in a computer network. 7- Network troubleshooting: Diagnose and fix network problems. 8- Introduction 9- Concepts and sources of big data. 10- Recommendation systems, sentiment analysis, and computational advertising. 11- Big data types: streaming data, unstructured data, large textual data. 12- Techniques in data analytics. 13- Problems associated with large data sets used in applied analytical models. 14- Approaches to visualize the output from an enforced analytical model. 15- Big data processing platforms and tools. 16- Performing simple data processing tasks on a big data set using tools 17- Introduction 18- Relational Database Management Systems: Analyze the concepts and architecture of a relational database management system. 19- Entity Relationship Model: Analyze the components of an entity relationship model. 20- Relational Model: Analyze relation, record, field, and keys in a relational model. 21- ER to Relational Model Conversion: Perform a conversion from an ER model to the relational model. 22- Functional Dependency: Analyze the concepts of closure sets, closure operation, trivial, non-trivial, and semi-trivial functional dependencies. 23- Normal Forms: Analyze the concepts of lossless, attribute-preserving, and functional-dependency-preserving decomposition, and first normal form. 24- Installation of Programming Languages and Databases: Install MySQL and phpMyAdmin and install Java and Python programming languages. 25- CRUD Operations: Perform create, read, update, delete (CRUD) operations in MySQL. 26- MySQL Operations: Perform MySQL operations using CONCAT, SUBSTRING, REPLACE, REVERSE, CHAR LENGTH, UPPER, and LOWER commands. 27- Aggregate Functions: Perform MySQL operations using count, group by, min, max, sum, and average functions. 28- Conditional Statements and Operators: Perform MySQL operations using not equal, not like, greater than, less than, logical AND, logical OR. 29- Join Operations: Perform MySQL operation. 30- Introduction 31- Historical development of databases: Analyze the evolution of technological infrastructures in relation to the development of databases. 32- Impact of the internet, the world-wide web, cloud computing, and e-commerce: Analyze the impact of these technologies on modern organizations. 33- Strategic management information system (MIS): Analyze the characteristics and impact of a strategic MIS. 34- Information systems for value-added change: Analyze how information systems can support value-added change in organizations. 35- Functionality of information communication technology: Analyze the functionality offered by information communication technology and its implications. 36- International, ethical, and social problems of managing information systems: Define the international, ethical, and social problems associated. 37- Security and legislative issues in building management information systems: Define the security and legislative issues related to building MIS. 38- Security and legislative issues in implementing management information systems: Define the security and legislative issues related to implementing MIS. 39- Security and legislative issues in maintenance. 40- Introduction 41- Ethical concepts in computing: Analyse common ethical concepts and theories in computing. 42- Laws and social issues in information technology: Analyse laws and social issues in areas including privacy, encryption, and freedom of speech. 43- Intellectual property and computer crime: Analyse the laws relating to trade secrets, patents, copyright, fair use and restrictions, peer-to-peer. 44- Data privacy: Define data privacy and analyse the types of data included in data privacy. 45- Ethical theories and the U.S. legal system: Analyse philosophical perspectives such as utilitarianism versus deontological ethics and the basics. 46- Ethical dilemmas in information technology: Apply ethical concepts and an analytical process to common dilemmas found in the information technology. 47- Impacts of intellectual property theft and computer crime: Analyse the impacts of intellectual property theft and computer crime. 48- Ethics in artificial intelligence (AI): Analyse the ethics in AI, including autonomous vehicles and autonomous weapon systems. 49- Ethics in robotics: Analyse the ethics in robotics, including robots in healthcare. 50- Introduction 51- Technologies involved in building a secure e-commerce site. 52- Common problems faced by e-commerce sites. 53- Requirements analysis and specification for an e-commerce project. 54- Writing a project proposal and creating a presentation. 55- Front-end development tools, frameworks, and languages. 56- Back-end development languages, frameworks, and databases. 57- Application of software development methodologies. 58- Creating a project report and user documentation. 59- Delivering structured presentations on the software solution.
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