# A Secured Intrusion Detection System for Mobile Edge Computing
## 4 Proposed SEC-IDS Framework
* _Policy Enforcement:_ The CMS enforces security policies related to certificate usage, ensuring that entities adhere to predefined security standards and access controls. This contributes to a consistent and well-regulated security posture within the MEC infrastructure. _Intrusion Detection Module:_  
An advanced IDS module that monitors network traffic, analyzes communication patterns, and detects anomalous behavior within the MEC infrastructure. The IDS is designed to identify potential security threats and trigger alerts for timely response. _Behavioral Analytics:_  
Integration of behavioral analytics and machine learning algorithms to enhance the detection capabilities of the IDS. This allows the system to adapt and evolve, identifying both known and novel intrusion patterns. Real-time Response Mechanism:  
A real-time response mechanism that allows the IDS to take immediate action upon detecting suspicious activities. This may include isolating compromised devices, blocking malicious communication, or triggering notifications to administrators. The proposed CA-based framework addresses the unique security challenges of MEC environments by providing a trusted foundation for communication and implementing proactive intrusion detection measures. By combining the principles of CA with state-of-the-art intrusion detection technologies, the proposed framework aims to establish a secure and resilient MEC ecosystem, safeguarding critical data and services at the network edge. The step by step procedure of proposed CA-IDS approach is presented in Algorithm 1 as follows. ```
Inputs: \(D\)--Set of all edge devices in the MEC environment. C--Set of digital certificates. T--Set of network traffic data. M--Machine learning model for anomaly detection. A--Set of intrusion alerts. Output: C--Set of digital certificates issued by the CA. A--Set of alerts indicating potential intrusions. Act--Actions taken based on the alerts. Process: 1. Initialization Initialize the certificate authority (CA) and intrusion detection system (IDS) components. 2. Certificate Management: 2.1 For each device \(\backslash\)(d\(\backslash\)) in \(\backslash\)(D\(\backslash\)): 2.1.1 Generate a unique public-private key pair for \(\backslash\)(d\(\backslash\)). 2.1.2 Create a digital certificate \(\backslash\)(c_d\(\backslash\)) for \(\backslash\)(d\(\backslash\)) signed by the CA. 2.1.3 Add \(\backslash\)(c_d\(\backslash\)) to the set of certificates \(\backslash\)(C\(\backslash\)). 3. Intrusion Detection 3.1 For each network packet \(\backslash\)(p\(\backslash\)) in \(\backslash\)(T\(\backslash\)): 3.1.1 Extract sender and receiver information from \(\backslash\)(p\(\backslash\)). 3.1.2 Verify the authenticity of the sender using \(\backslash\)(C\(\backslash\)). 3.1.3 If sender is not authenticated: 3.1.3.1 Generate an intrusion alert \(\backslash\)(a\(\backslash\)) for the unauthorized sender. 3.1.3.2 Add \(\backslash\)(a\(\backslash\)) to the set of alerts \(\backslash\)(A\(\backslash\)). 4. Behavioral Analytics: 4.1 Train machine learning model \(\backslash\)(M\(\backslash\)) using features extracted from \(\backslash\)(T\(\backslash\)). 5. Real-time Response: 5.1 For each alert \(\backslash\)(a\(\backslash\)) in \(\backslash\)(A\(\backslash\)): 5.1.1 Determine the severity and type of intrusion. 5.1.2 Take appropriate real-time response actions (e.g., isolate device, block communication). 6. Continuously repeat steps 3, 4, and 5 to adapt to evolving network conditions. ```  
**Algorithm 1**CA-Based IDS for Mobile Edge Computing  
_Security analysis of proposed SEC-IDS Framework_  
Let \(C\) be the set of digital certificates issued by the CA, \(T\) be the set of network traffic data, and Verify(_cd,p_) be the certificate verification function for network packet \(p\) using certificate \(cd\). The lemma states that if the verification process is successful for all network packets in \(T\) based on the digital certificates in \(C\), then the communication between devicesin the MEC network is considered authenticated.