Research on user information access by blockchain

Research on user information access by blockchain

Key vocabulary

Term definition Information processing system Any tool or tool collection that can calculate, classify, process, transmit, receive, retrieve, initiate, switch, store, display, present, detect, record, copy, process or utilize any form of information, intelligence or data for business, scientific, control, entertainment or other purposes. Computer readable medium Any tool or tool collection that can retain data and/or instructions for a period of time. Protecting endpoints A policy-based network security approach that generally requires that terminal devices must meet specific criteria before being granted access to network resources. Contextual information Any information related directly or indirectly, alone or in combination, to a specific user behavior. Physical behavior User behavior that occurs in the physical domain, such as speaking, gesturing, facial expressions, walking, geographic location, etc. Cyber ​​behavior Any behavior that occurs in cyberspace, whether by an individual user, user group, or system acting on behalf of an individual user, user group, or entity. Cyberspace A network environment that can support communication between two or more entities. Entities Something that exists independently, either physically or abstractly. Resource geographic location or structure, physical facilities, places, systems, data stores, or services (such as services running in a cloud environment). User behavior profiles are collections of information that distinguish entities and their associated behavior in cyberspace. Sensitive Personal Information (SPI) Any information that can be used to determine a user's identity, whether by itself or in combination with other information (e.g., contextual information). User behavior elements Discrete elements of a user's behavior during a specific action performed in the physical realm, cyberspace, or a combination of both. Temporal information A measure of time (e.g., date, timestamp, etc.), a measure of a time interval (e.g., minutes, hours, days, etc.), or a measure of a time interval (e.g., between June 3, 2017 and March 4, 2018, etc.). Temporal events An event, action, or activity performed by or associated with an entity at a specific point in time. Blockchain A tamper-proof and appendable data structure. Network profile blocks Blockchain blocks containing various network profile information. Network profile information Any entity information, entity identifier information, behavior element information, time information, contextual information, or a combination thereof associated with a network profile. Transmittable network profiles A network profile implemented as a network profile blockchain or a portion thereof, which is implemented so that addresses associated with its corresponding network profile block or its associated network profile elements, respectively, can be reassigned. Short answer questions

What is the difference between an information processing system and a computer-readable medium?

An information processing system refers to any tool or collection of tools that can process and utilize information, such as computers, mobile devices, etc. Computer-readable media refers to media that can store and transmit information, such as hard disks, optical disks, network signals, etc.

Please explain the concept of "protecting terminals" and explain its relationship with user behavior analysis.

Protecting terminals is a network security method that requires terminal devices to meet specific security standards before they can access network resources. User behavior analysis can be used to evaluate whether terminal devices meet security standards, such as analyzing users' login behavior, access to resources, etc., to determine whether terminal devices have security risks.

What is context information? Please give examples to illustrate the role of context information in user behavior analysis.

Context information refers to background information related to user behavior, such as time, location, device, access resources, etc. In user behavior analysis, context information can help us understand the intention of user behavior more accurately. For example, if a user accesses sensitive data late at night and the user does not usually work during this time period, then this behavior is likely to be abnormal.

Please explain the difference between physical behavior and network behavior, and give examples of each.

Physical behavior refers to behavior that occurs in the real world, such as talking and walking, while online behavior refers to behavior that occurs in cyberspace, such as visiting websites and sending emails. For example, a user using a key to open the door of an office in the real world is a physical behavior, while a user entering a username and password to log into the company system on the Internet is a network behavior.

What is a user behavior profile? What role does it play in network security?

A user behavior profile refers to a collection of information that describes a user's typical behavior patterns, such as the user's common login time, the types of websites visited, the types of files downloaded, etc. In network security, user behavior profiles can be used to detect abnormal behavior. For example, if a user's behavior does not match the typical behavior pattern in his or her profile, then this behavior is likely to be abnormal.

Please explain the concept of sensitive personal information (SPI) and list at least three types of SPI.

Sensitive personal information refers to information that can be used to identify an individual, such as name, address, telephone number, ID number, bank account information, etc. Three common types of SPI include: identity information (such as name, ID number), contact information (such as address, telephone number), and financial information (such as bank account information).

What is a user behavior element? Please give an example of the role of user behavior elements in building user behavior profiles.

User behavior elements refer to individual actions taken by users when performing specific tasks. For example, when users log in to a website, they enter their username, password, and click the login button. These are all user behavior elements. By collecting and analyzing user behavior elements, we can build a user behavior profile, such as which browser users usually use to log in to the website, how fast users enter their passwords, etc.

Please explain the importance of time information in user behavior analysis and give examples.

Time information is very important in user behavior analysis because it can help us identify abnormal behavior. For example, if a user accesses sensitive data during non-working hours, then this behavior is likely to be abnormal.

What are the characteristics of blockchain technology that make it suitable for storing and managing user behavior data?

The decentralized, tamper-proof, and traceable characteristics of blockchain technology make it suitable for storing and managing user behavior data. For example, storing user behavior data on the blockchain can prevent data from being tampered with and can track the access history of the data.

What is a transportable network profile? What are its advantages over traditional user behavior profiles?

A transportable network profile is a user behavior profile that can be easily shared and transferred between different systems. Compared with traditional user behavior profiles, transferable network profiles are more flexible and convenient, and can help enterprises manage and protect users' network security more effectively.

Essay Question

Discuss in detail the importance of contextual information in user behavior analysis, and analyze how to use contextual information to improve the accuracy and efficiency of user behavior analysis based on actual cases.

Analyze the advantages and challenges of blockchain technology in user behavior data management, and explore how to use blockchain technology to build a secure and reliable user behavior data management system.

With the rapid development of the Internet of Things and artificial intelligence technologies, user behavior data has shown an explosive growth trend. Explore how to cope with the challenges of the explosive growth of user behavior data and propose corresponding solutions.

In recent years, the issue of user privacy protection has received increasing attention. Explore how to reasonably and legally collect and use user behavior data while protecting user privacy.

Combined with the latest development trends in the field of network security, explore the future development direction of user behavior analysis technology.