An Enhanced Cryptographic Framework for Secure, Scalable, and Privacy-Preserving Data Storage and Access in Internet of Things Environments

Ali Oveysikian¹

Abstract :
The rapid expansion of the Internet of Things (IoT) has introduced significant security and privacy challenges, particularly in data transmission, storage, and access control across distributed environments. Traditional cryptographic techniques such as RSA often impose high computational and storage overheads on resource-constrained IoT devices. To address these limitations, this paper proposes a lightweight and efficient cryptographic model based on Elliptic Curve Cryptography (ECC), integrated with a secure file structure named Data Capsule Structure (DCS). The proposed approach ensures end-to-end data confidentiality, integrity, and user-controlled access through a multi-phase mechanism that includes symmetric encryption, digital signature, searchable encryption, and access policy enforcement. The DCS encapsulates encrypted content along with integrity parameters and supports privacy-preserving searchable access without server-side key exposure. Additionally, the model leverages the Chinese Remainder Theorem and dual-signature verification to further strengthen access authentication. Performance evaluations demonstrate that the ECC-based approach significantly reduces encryption/decryption latency and key size compared to RSA and AES while maintaining robust security guarantees. The results indicate that the proposed scheme is particularly suitable for cloud-integrated IoT systems where user-centric control and lightweight encryption are critical. Future work will focus on hybrid designs to further minimize memory and computational overhead when server trust is partially established.
Keywords : Internet of Things(IoT) cryptographic model Elliptic Curve Cryptography(ECC) Data Capsule Structure(DCS)

زبان مقاله : انگلیسی
محور مقاله : مهندسی برق
محل انتشار : چهارمین کنفرانس بین المللی پژوهش ها و دستاوردهای نو در علوم، مهندسی و فناوری های نوین
آدرس وب سایت کنفرانس : setbconf.com
کد IOI مقاله : AZEK-AABBAE
لینک مستقیم مقاله : https://isnac.ir/AZEK-AABBAE
نمایش چکیده فارسی : https://isnac.ir/SA/AZEK-AABBAE