An AI-driven framework for intrusion detection and energy-efficient routing in IoT networks is proposed that uses machine-learning techniques to identify malicious network traffic and classify it as normal or abnormal and applies an energy-aware routing strategy to select communication paths.
With the advent of the Internet of Things (IoT) technologies, smart devices, industrial automation, healthcare, transportation, and smart city environments are now becoming intelligent and connected. The diversity and limited resources of IoT networks, however, make them particularly susceptible to new cyber-attacks su...
R. Kanmani, P. Malathi· 2026 6th International Confe...· 0 citations
A machine learning-driven intrusion detection system that aims to detect attacks on IoT devices and suggests that machine learning methods can be successfully used to differentiate between legitimate and malicious network behavior, which can be used as a viable solution to enhance the security and surveillance of IoT-b...
P. Praveen, K. Sridhar, B. Rao et al.· International journal of com...· 0 citations
Resource-constrained Internet of Things (IoT) devices and wireless sensor networks (WSNs) remain difficult to secure using conventional security mechanisms because their sensing, forwarding, and processing nodes operate with limited memory, computation, energy, bandwidth, and software-update capability. These limits ex...
O. Khashan· Discover Internet of Things· 0 citations
The rapid growth of Inter-of-Things (IoT) devices and their weak security configurations have
significantly increased the vulnerability of modern network infrastructures to different forms of
sophisticated cyber-attacks, particularly low-rate, stealthy, and botnet-driven DDoS attacks.
Existing traditional intrusion...
Toala Dimabo Briggs· INTERNATIONAL JOURNAL OF APP...· 0 citations
The rapid expansion of Internet of Things (IoT) communications across fog networks has led to a significant increase in security concerns and cyber threats due to the multiplicity and diversity of violations and security vulnerabilities. Due to inadequate security, a large number of IoT devices are vulnerable to malwar...
Karar Falah Sailan, Mohsen Nik Ray· Al-Qadisiyah Journal for Eng...· 0 citations
The findings of this review show that proactive, cooperative, and self-healing security mechanisms are more effective than traditional reactive approaches in IoT environments and provide recommendations for developing scalable, energy-efficient, and privacy-preserving IoT security frameworks for future research.
