Secure bio-inspired optimization with intrusion aware on-demand routing in MANETs

Area of Science:

• Computer Science
• Network Security
• Artificial Intelligence

Background:

• Mobile Ad-Hoc Networks (MANETs) are decentralized and vulnerable to security threats.
• Existing security solutions often consume significant energy and resources.
• Ensuring robust security in MANETs remains a critical challenge.

Purpose of the Study:

• To propose a novel Secure Bio-Inspired Optimization (Sec-BIO) methodology for secure and energy-efficient routing in MANETs.
• To enhance the Ad-hoc On-Demand Distance Vector Routing (AODV) protocol with bio-inspired optimization and robust security measures.
• To address the trade-off between security and resource consumption in MANETs.

Main Methods:

• The Sec-BIO methodology integrates Elephant Herding Optimization with the AODV protocol.
• Route selection prioritizes Trust Value (TV) and energy efficiency.
• Node authentication uses Digital Signature Algorithm (DSA-Auth), and data encryption employs Elliptic Curve Cryptography (ECC).
• K-means Clustering is used for classifying normal and intrusion packets at the receiver.

Main Results:

• The Sec-BIO methodology achieved a Packet Delivery Ratio (PDR) of 90% with 100 nodes.
• Demonstrated a significant reduction in end-to-end delay, reaching 90ms.
• Showcased lower energy consumption, measured at 1390 J, compared to existing methods.

Conclusions:

• The proposed Sec-BIO methodology offers a superior approach to secure routing in MANETs.
• Sec-BIO effectively balances high security with improved energy efficiency and performance.
• This approach provides a promising solution for enhancing the security and reliability of decentralized networks.