# Anomaly Detection in 6G Networks Using Machine Learning Methods
## 3 Threats and Attacks in 6G Networks  
Although 6G networks are still being developed, it is crucial to take into account any potential dangers and assaults that might occur in these networks. Here are a few potential 6G network dangers and assaults [60; 61]:  
* Malware: Much like in current mobile networks, malware is projected to pose a serious danger to 6G networks. Malware can steal confidential data, interfere with network operations, or harm network infrastructure.
* DDoS assaults: Distributed denial of service (DDoS) attacks are a typical way to interfere with a network's functionality. DDoS attacks involve the use of several devices to flood a network with traffic, making it difficult or impossible for legitimate traffic to pass through.  
* IoT botnets: It is anticipated that 6G networks will support a significant number of IoT devices, which are susceptible to attacks. IoT devices have the potential to be exploited to build botnets, which may then be used to execute DDoS assaults or other kinds of attacks.
* Rogue base stations: These devices can intercept and alter network traffic or attack other network-connected devices.
* Spoofing attacks: An attacker can use spoofing attacks, which pose as legitimate networks or devices, to obtain sensitive information or initiate attacks on other network-connected devices.
* Eavesdropping: Eavesdropping attacks can be used to intercept and steal sensitive information that is transferred over the network. Personal data, financial information, and other sensitive data types may be included.
* Physical assaults: Physical assaults on network infrastructure, such as cutting fiber optic cables or tampering with power sources, can impair network performance and do serious harm.
* Man-in-the-middle (MITM) attacks: These attacks allow an attacker to intercept and change network traffic in order to steal sensitive data or launch attacks on other network-connected devices.
* Supply chain attacks: By focusing on the vendors and suppliers who provide the network's components, supply chain attacks can be used to compromise network infrastructure.
* Quantum assaults: These attacks could risk 6G networks by breaking encryption and other currently thought-to-be-secure security measures using quantum computers.  
Network operators and device makers must install strong security mechanisms, such as encryption, authentication, and access control, to handle these dangers and attacks in 6G networks. In order to identify and stop attacks, network operators may also need to invest in extra equipment, such as intrusion detection systems and firewalls. Additionally, it is critical to ensure that the 6G ecosystem's various parts--including devices, networks, and applications--are built with security in mind and routinely patched to address emerging threats and vulnerabilities.  
To ensure that they are resilient to a variety of risks and attacks, 6G networks will ultimately need to be designed with a \"security-first\" approach. In addition to the continued research and development of new security technologies and procedures, this will call for tight cooperation between network operators, device manufacturers, and other 6G ecosystem partners [62; 63].  
Combining two detection methods results in hybrid-based detection. Denial of service (DoS), remote to local (R2L), user to root (U2R), and probing are four different types of cyberattacks. U2R attacks occur when users attempt to obtain root or admin user access rights. R2L attacks occur when a remote user attempts to log in as a local user. DoS refers to the phenomenon where a genuine user is prevented from accessing the system by a hostile actor who is overloading the network resources. However, fraudsters scan the network when probing to identify vulnerable points for upcoming assaults.