I used space to carry a lot of supplies to escape famine in ancient times

Gu Qianning and Chu Mohan successfully expanded the telepathic network with their magical space and wisdom. This network is like an invisible net that connects people from all corners, bringing unprecedented convenience to the communication and cooperation of civilizations. However, as the network continues to expand, a serious problem gradually emerges - network security.

Although this telepathic network is full of magic and mystery, it is not invulnerable. In the process of information transmission, there is a risk of theft, tampering, or even malicious attacks. Once these situations occur, it will not only threaten personal privacy and security, but may also undermine the stability of the entire network and affect the communication and cooperation between civilizations. Gu Qianning and Chu Mohan are well aware that ensuring the security of the telepathic network has become the most urgent task at the moment.

In order to fully understand the security issues faced by the telepathic network, Gu Qianning and Chu Mohan decided to investigate from the source. They first conducted an in-depth study of the network's architecture and operating mechanism.

The telepathic network is built based on people's thinking and emotional energy, and its information transmission method is unique and subtle. However, this particularity also makes it more susceptible to interference from external factors. They found that during the transmission process, the information in the network may be deviated or lost due to the individual's unstable mental state or strong interference from the external environment. For example, when a person is extremely tired or emotionally excited, the telepathic information he sends may become unclear or even misinterpreted. In some areas with frequent natural disasters or abnormal magnetic fields, network signals will also be seriously affected, resulting in interruption or distortion of information transmission.

In addition, they also realized that the openness of the network also brings potential security risks. As more and more people join the telepathic network, the boundaries of the network become increasingly blurred, which gives some people with ulterior motives an opportunity to take advantage of it. They may try to invade other people's minds through various means, steal important information or conduct malicious interference. Moreover, because the telepathic network crosses geographical and cultural boundaries, people in different regions have different security awareness and prevention capabilities when using the network, which further increases the difficulty of network security management.

After a comprehensive investigation of potential security risks, Gu Qianning and Chu Mohan classified and analyzed these issues in detail. They found that information leakage, malicious attacks and network interference are the three most prominent security threats at present.

Information leakage refers to the acquisition of personal or sensitive information in the network by unauthorized persons. In the telepathic network, people's thoughts and emotional information exist in a special form of energy. If this information is stolen by criminals, it may be used for various bad purposes, such as extortion, industrial espionage or creating social chaos. Malicious attacks include direct attacks on network nodes and disruption of the information transmission process. Attackers may try to interfere with the normal operation of the network by sending powerful negative energy waves, or use technical means to tamper with the information sent by others in order to mislead and destroy. Network interference is mainly caused by external environmental factors or other unknown energy sources, which will cause instability of network signals and affect the accurate transmission of information.

In response to the safety hazards identified, Gu Qianning and Chu Mohan began to formulate a series of comprehensive and effective safety protection measures.

In order to prevent information leakage, they first worked to strengthen the encryption technology of the network. Chu Mohan led a group of technically proficient personnel and began to study how to use ancient wisdom and existing resources to develop an encryption algorithm suitable for telepathic networks. They borrowed some principles of ancient cryptography and combined them with the characteristics of telepathy. After countless experiments and improvements, they finally succeeded in creating a unique encryption method.

This encryption algorithm is personalized based on each person's thought frequency and emotional characteristics. When a person sends a telepathic message, the message is first encrypted and converted into a special code that only the receiver can interpret. After receiving the message, the receiver needs to decrypt it with his or her own unique thought key to obtain the original message. In this way, even if the message is intercepted by others during transmission, it cannot be easily cracked and understood.

In order to ensure the security and reliability of the encryption algorithm, they have also established a mechanism for regularly updating the key. Every once in a while, the network system will automatically generate a new key based on the user's usage and security status, and notify the user to update it. At the same time, they have also strengthened the security measures for key management, using multiple backups and encrypted storage to ensure that the key will not be leaked or lost.

In order to prevent malicious attacks and unauthorized access, Gu Qianning and Chu Mohan set out to establish a strict identity authentication and authorization system. Before users join the telepathic network, they need to undergo detailed identity registration and authentication. This process not only includes basic personal information such as name, age, and place of origin, but also involves recording personal thinking characteristics and emotional fluctuation patterns. Through these unique biometric information, the system can accurately identify the identity of each user and ensure that only legitimate users can access the network.

Once a user passes identity authentication, the system will assign corresponding permissions to him/her based on his/her identity and needs. Different users have different operating permissions in the network. For example, ordinary users can only perform basic information exchange and sharing, while some users with special duties or skills, such as network administrators, medical rescue personnel, etc., can obtain higher permissions to perform special operations and management when necessary. At the same time, for some access to sensitive information or important resources, the system will also conduct secondary authentication, requiring users to provide additional verification information to ensure the security of access.

In order to ensure the effectiveness of the identity authentication and authorization system, they also adopted a real-time monitoring and dynamic adjustment mechanism. The network system will continuously monitor the user's behavior and activities. Once an abnormal situation is found, such as frequent failed login attempts, abnormal information access patterns, etc., the system will immediately activate the alarm mechanism and re-verify the user's identity and adjust the permissions. At the same time, for some user accounts that have been inactive for a long time or have security risks, the system will automatically freeze or log out to ensure the overall security of the network.

The telepathic network is composed of nodes, each of which represents a user or a transit station for information transmission. Therefore, strengthening the protection of network nodes is crucial to ensuring the security of the entire network.

Gu Qianning and Chu Mohan organized a professional team to conduct comprehensive security reinforcement for each node in the network. They set up a special energy barrier around the node, which can effectively block the invasion of malicious energy from the outside and protect the internal information. At the same time, they also equipped each node with advanced monitoring equipment to monitor the operating status of the node and the surrounding energy fluctuations in real time. Once an abnormal situation is found, the monitoring equipment will immediately sound an alarm and feedback the relevant information to the network management center.

In terms of node software protection, they regularly update and upgrade the node operating system and applications to fix known security vulnerabilities. At the same time, they install powerful firewalls and anti-virus software to prevent network viruses and malware attacks. In addition, they have optimized the node communication protocol and adopted encryption and authentication technology to ensure the safe and reliable transmission of information between nodes.

In addition to technical protection measures, Gu Qianning and Chu Mohan are well aware that user security awareness is also an important factor in ensuring network security. Therefore, they actively carried out a series of user security awareness enhancement and training activities.

They hold lectures and distribute promotional materials to spread the basic knowledge and importance of telepathic network security to users. They let users know the dangers of information leakage and malicious attacks, and how to protect their privacy and security when using the Internet in daily life. At the same time, they also develop personalized training courses for different types of users, teaching users how to use network equipment correctly, set security passwords, identify and prevent network fraud and other skills.

In order to increase user participation and enthusiasm, they have also set up some reward mechanisms. For those users who perform well in network security, they will be given certain material and spiritual rewards to encourage more users to actively participate in network security maintenance. In addition, they have also established user feedback channels to encourage users to promptly report security issues and hidden dangers found during the use of the network so that timely measures can be taken to resolve them.

Although a series of security measures have been taken, Gu Qianning and Chu Mohan understand that network security is a dynamic process and may face new threats and challenges at any time. Therefore, it is essential to establish a complete security monitoring and emergency response mechanism.

They invested a lot of resources to build a comprehensive, multi-level security monitoring system. This system consists of multiple parts, including network traffic monitoring, node status monitoring, abnormal behavior monitoring and threat intelligence collection.

The network traffic monitoring module is responsible for real-time monitoring of the flow of information in the network, and identifies abnormal information transmission behavior by analyzing the size, direction, frequency and other characteristics of the traffic. For example, if a node is found to suddenly send or receive a large amount of information, and the content and source of this information are unknown, the system will mark it as suspicious behavior and conduct further investigation.

The node status monitoring module focuses on monitoring the operating status of each node in the network. It collects the node's hardware performance indicators, software operation status, and energy fluctuation data in real time. Once a node fails, overheats, or experiences abnormal energy fluctuations, the system will immediately issue an alarm and notify relevant personnel to handle the situation.

The abnormal behavior monitoring module uses artificial intelligence and machine learning technology to analyze and model user behavior on the network. By establishing a baseline model of normal user behavior, the system can promptly detect abnormal behavior that does not conform to normal behavior patterns, such as frequent changes in login locations, abnormal information access times and methods, etc. When abnormal behavior is detected, the system automatically authenticates the user and analyzes the behavior to determine whether there is a security threat.

The threat intelligence collection module is responsible for collecting cybersecurity threat intelligence from various channels. They have established cooperative relationships with cybersecurity agencies and experts in other regions to share information about cyberattack methods, malware characteristics, and security vulnerabilities. By obtaining this intelligence in a timely manner, the system can take preventive measures in advance and effectively respond to possible security threats.