No abstract

No abstract

Recently, information security of IoT(Internet of Things) have been increasing to interest and many research groups have been studying for cryptographic algorithms, which are suitable for IoT environment. LEA(Lightweight Encryption Algorithm) developed by NSRI(National Security Research Institute) is commensurate with IoT. In this paper, we propose two first-order Correlation Power Analysis(CPA) attacks for LEA and experimentally demonstrate our attacks. Additionally, we suggest the mask countermeasure for LEA defeating our attacks. In order to estimate efficiency for the masked LEA, its operation cost is compared to operation time of masked AES.

Internet of Things(IoT) technologies should be able to communication with various embedded platforms. We will need to select an appropriate cryptographic algorithm in various embedded environments because we should consider security elements in IoT communications. Therefore the lightweight block cryptographic algorithm is essential for secure communication between these kinds of embedded platforms. However, the lightweight block cryptographic algorithm has a vulnerability which can be leaked in side channel analysis. Thus we also have to consider side channel countermeasure. In this paper, we will propose the scenario of side channel analysis and confirm the vulnerability for HIGHT algorithm which is composed of ARX structure.Additionally, we will suggest countermeasure for HIGHT against side channel analysis. Finally, we will explain how much the effectiveness can be provided through comparison between countermeasure for AES and HIGHT.

No abstract