A Lightweight Chaotic Image Encryption Scheme for IoT Using Cascaded Tent-Sine Maps
سال انتشار: 1405
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 13
فایل این مقاله در 14 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ITNAF01_0894
تاریخ نمایه سازی: 14 آبان 1405
چکیده مقاله:
The rapid growth of the Internet of Things (IoT) has intensified the need for lightweight yet secure image encryption schemes suitable for resource-constrained devices. General-purpose block ciphers such as the Advanced Encryption Standard (AES) are computationally expensive for such platforms, while many existing chaotic encryption schemes based on one-dimensional maps have either been shown to be vulnerable to statistical attacks or have not been evaluated on actual embedded hardware. This paper proposes a lightweight color-image encryption scheme built on three complementary components: a cascaded Tent-Sine chaotic system that approximately doubles the Lyapunov exponent of its constituent maps, a four-parameter plaintext-dependent key (PDK) mechanism based on the SHA-۲۵۶ hash that resists chosen-plaintext attacks, and a bidirectional cipher-feedback (CFB) diffusion engine that fuses substitution and diffusion in a single pass. Experimental results confirm that the proposed scheme achieves a mean NPCR of ۹۹.۶۱۱۶% and a mean UACI of ۳۳.۴۷۲۹%. The mean information entropy of the ciphertext exceeds ۷.۹۹۹۵, the maximum absolute adjacent-pixel correlation is below ۰.۰۲, and the effective key space is ۲^۱۴۲. Lossless decryption is verified, while competitive throughput is achieved on the target platform. The proposed scheme matches or exceeds recent benchmark chaotic encryption schemes while employing a simpler architecture, making it a suitable candidate for constrained IoT nodes.
کلیدواژه ها:
نویسندگان
Niloufar Mehrnia
Department of Computer Engineering, Da.C., Islamic Azad University, Damghan, Iran.
Hamid Abbasi
Department of Computer Engineering, Da.C., Islamic Azad University, Damghan, Iran.
Mojtaba Shokouhinia
Department of Computer Engineering, Da.C., Islamic Azad University, Damghan, Iran.