Security and legislative issues in building management information systems: Define the security and legislative issues related to building MIS.

Lesson 37/59 | Study Time: Min


Security and legislative issues in building management information systems: Define the security and legislative issues related to building MIS.



Did you know that security and legislative issues aren't just challenges but also vital aspects to consider when building a management information system (MIS)? Let's explore this critical concern and its implications on the development and implementation of MIS.

Understanding Security Considerations in Building MIS 🛡️

When organizations build their MIS, one of the most crucial elements to take into account is security. With the rise of cyber threats and data breaches, taking security lightly could be a costly mistake.

For example, back in 2013, the retail giant Target suffered a massive data breach, exposing the personal data of over 70 million customers. Investigation revealed that the breach occurred due to vulnerabilities in their MIS, which cybercriminals exploited to access customer data. This incident brought to light the importance of robust security measures in place while building an MIS.

A secure MIS should have comprehensive data protection measures, including encryption and access control. Encryption involves encoding information so that only authorized people can access it, while access control ensures that only individuals with the right permissions can access certain data. For instance, a manager may have access to more sensitive data than an entry-level employee.

class employee:

    def __init__(self, name, access_level):

        self.name = name

        self.access_level = access_level


In the above example, the access_level attribute can be used to control what data an employee can access.

Legislative Requirements When Building MIS 📜

In addition to security considerations, organizations also need to take into account legislative requirements. These are the laws and regulations that companies must comply with when building and using an MIS.

Take, for instance, the General Data Protection Regulation (GDPR), a European Union legislation that sets strict standards for data protection. Companies that fail to comply with GDPR when building their MIS could face hefty penalties, not to mention damage to their reputation.

Moreover, there may be industry-specific regulations that organizations need to consider. For example, healthcare institutions in the U.S. have to comply with the Health Insurance Portability and Accountability Act (HIPAA) when storing and processing patient data.

In conclusion, ensuring the security of an MIS and compliance with legislative requirements isn't just about avoiding penalties or breaches. It's about protecting the valuable data that powers our organizations and the privacy rights of individuals. Therefore, it's essential for anyone involved in building an MIS to have a deep understanding of these issues.


UeCampus

UeCampus

Product Designer
Profile

Class Sessions

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.
noreply@uecampus.com
-->