LSFRS: a lightweight framework for efficient and secure communication in IoT-based robotic surveillance

LSFRS: a lightweight framework for efficient and secure communication in IoT-based robotic surveillance

연구 분야: Cryptography

학회: Cluster Computing

Recent technological advancements have facilitated the widespread integration of robots across various sectors, including healthcare, defense, and industries. The Internet of Things (IoT) based robotic devices, equipped with advanced sensors and imaging capabilities, are crucial for various tasks such as environmental monitoring, autonomous navigation, and real-time surveillance. For real-time surveillance, robotic devices contribute to effective, safe, and reliable communication. However, the communication, in real-time environment, faces several challenges such as security and resource optimization. Due to limited computational resources, IoT-based systems need lightweight security solutions for communication efficiency and secure data handling. To enhance communication efficiency with secure data handling, this study introduces a Lightweight Surveillance Framework for Robotic Systems (LSFRS). The LSFRS optimizes data transmission by leveraging the Structural Similarity Index to eliminate redundancy and improving resource utilization. For secure communication, lightweight encryption methods: Tiny Encryption Algorithm (TEA), eXtended TEA (XTEA), Caesar Cipher, and Exclusive or (XOR), are employed. The proposed framework is evaluated for encryption performance, computational efficiency, and suitability for real-time surveillance. Comparative analysis demonstrates that the proposed framework is competitive against existing techniques.