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

Lesson 38/59 | Study Time: Min


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


Dealing with Security Challenges while Implementing MIS

Implementing a Management Information System (MIS) is an intricate process laden with a myriad of challenges, predominantly security issues. With the growing number of cyber threats, organizations are under constant pressure to secure their data. As such, they have to integrate robust security measures during the implementation phase of MIS. One such measure includes User Authentication. 🛡️

For instance, the use of multi-factor authentication (MFA) is becoming increasingly prevalent in MIS implementations. MFA requires users to provide two or more verification factors to gain access to a resource such as an application, online account, or a VPN. This method is an effective way of preventing unauthorized access to sensitive data and applications.

A user may be required to enter a password (knowledge factor) and a one-time-password sent to their mobile device (possession factor) to gain access to an MIS.```


Another critical security measure that businesses can enact is **Encryption**. 🗝️ It involves converting information or data into code to prevent unauthorized access. Organizations can use encryption techniques to safeguard sensitive information stored in the MIS. 


```Example: 

A company can use end-to-end encryption to protect sensitive data. In this case, the data is encrypted on the sender's system and only the recipient has the unique key to decrypt it.```


### Navigating Legislative Hurdles during MIS Implementation


In addition to security concerns, organizations also have to navigate various legislative requirements when implementing an MIS. These legislations aim at ensuring the protection and privacy of data. A prime example of such legislative requirements is **Data Breach Notification Laws**.📋


For example, in the European Union, the General Data Protection Regulation (GDPR) requires organizations to report a data breach within 72 hours. Failure to comply with this regulation can result in hefty fines. Therefore, understanding and implementing these legislative requirements is crucial when setting up an MIS.


```Example: 

In 2018, Uber was fined £385,000 by the UK's data protection regulator for failing to disclose a data breach in 2016 that affected 57 million customers and drivers worldwide.``` 


In conclusion, implementing an MIS requires careful consideration of both security and legislative issues. Organizations that ignore these aspects may face severe consequences, including reputational damage, financial loss, and legal implications. As such, they should endeavor to implement stringent security measures and adhere to all relevant legislative requirements when installing an MIS.

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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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