Cyber Threat Hunting: A Proactive Approach to Network Security

Abstract

The growth of technologies and connected systems
has led to more cyber threats targeting organisational networks.
Traditional security tools like firewalls and antivirus software
mainly react to threats after they happen. Modern cyber
attackers use sneaky techniques that can get past these security
controls.
To tackle these challenges, cyber threat hunting has become
an approach to cybersecurity. It focuses on finding hidden
threats in network environments before they cause harm.
This paper studies cyber threat hunting as an approach to
network security. It looks at using analytics and monitoring
systems to detect potential security threats. The approach
involves monitoring network activities, analysing system logs
and looking at network traffic behaviour to identify suspicious
patterns.
By using techniques like anomaly detection, threat intelligence
analysis and machine learning-based pattern recognition, security
analysts can search for threats within the network. Cyber threat
hunting is used to find these threats.
The research also explores how modern technologies like
machine learning, artificial intelligence and behavioural
analytics improve threat detection. These technologies help
analyse amounts of network data, making it easier to spot
abnormal behavior unauthorized access attempts and potential
security breaches. Threat intelligence, cyber threat hunting and
proactive hunting strategies work together to detect threats and
sophisticated cyber attacks.
Experimental analysis shows that proactive threat hunting
improves network security systems. It reduces detection time
minimizes security risks and enhances cybersecurity resilience.
The proposed framework helps organizations strengthen their
security posture by enabling early threat identification and
providing insights for incident response teams.
Overall cyber threat hunting is a strategy, for modern
cybersecurity defense. It helps organizations move from reactive
security practices to an intelligence-driven security model. This
model protects network infrastructures from evolving cyber
threats using cyber threat hunting.