Recent research in Security Attacks in Mobile Ad Hoc Networks (MANETs) focuses on identifying, analyzing, and mitigating various network threats such as black-hole, wormhole, sinkhole, Sybil, and denial-of-service (DoS) attacks that exploit the network’s decentralized and dynamic nature. Studies highlight how these attacks disrupt routing, reduce packet delivery ratio, and degrade overall network performance. To counter these threats, researchers have proposed machine learning-based intrusion detection systems, trust-based routing mechanisms, and cryptographic frameworks like elliptic curve cryptography (ECC) for secure communication. Hybrid models combining deep learning (CNN-LSTM-GRU) and cross-layer security monitoring have shown high accuracy in detecting malicious behaviors with minimal overhead. Overall, recent advancements emphasize adaptive, intelligent, and energy-efficient defense strategies that enhance the resilience of MANETs against evolving security attacks while maintaining reliable and efficient data transmission.