perrylongwani/My-Research-Work-DSAPA: DSAPA

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Authors: Perry Chimenge Longwani
Cited by: 0

Abstract

The Internet of Things (IoT) is highly vulnerable to DDoS attacks due to its resource constraints and open network architecture. Traditional mitigation techniques, such as signal filtering and distributed monitoring, struggle under sustained attacks. This study presents the Dynamic Synchronization and Adaptive Port Adjustment (DSAPA) algorithm, which enhances IoT security through precise node synchronization and time based dynamic port switching. Unlike existing methods, DSAPA ensures that legitimate nodes independently compute new ports upon detecting intrusions, preventing adversaries from intercepting port changes. Experimental results confirm a high synchronization accuracy under severe attacks, high intrusion detection accuracy, low false positives, and minimal latency, outperforming GADAD and C-DAD. Additionally, DSAPA achieves a high reduction in memory usage, ensuring efficiency in resource constrained environments. These findings demonstrate DSAPA's ability to maintain secure, uninterrupted communication in IoT networks, making it a promising low-overhead, adaptive security solution against evolving cyber threats.

Fields of Study & Subjects

Network Security and Intrusion Detection Security in Wireless Sensor Networks IoT and Edge/Fog Computing

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 March 2026
Language
EN