Designing a New Hashing Algorithm for Enhancing IoT Devices Security and Energy Management
Keywords:
hashing, IoT security, energy management, multi-level hashing, SHA family, Raspberry Pi 4BAbstract
The Internet of Things (IoT) is a rapidly growing network of interconnected devices that collect and exchange data. While IoT devices offer many benefits, they also pose unique security and energy management challenges. One promising approach to addressing these challenges is to develop new hashing algorithms that are both secure and energy-efficient. This paper proposes a new hashing algorithm for IoT devices based on multi-level hashing and the SHA family, called the Multi-Level Hashing Algorithm (MLHA). The MLHA consists of eight levels, starting from a lightweight level to a heavy level. Each level is based on a different modified SHA function, with the heavier levels using more complex SHA functions. The output of each level is then produced and represents the final hash value. The use of multiple levels provides several advantages. First, it makes the algorithm more resistant to brute-force attacks. Second, it allows the algorithm to be tailored to the specific security requirements of the IoT device. For example, a device with limited resources may use a lower of level, while a device with more resources may use upper levels for increased security. The use of SHA functions also provides several advantages. First, SHA functions are well-studied and well-respected. Second, SHA functions are relatively efficient to implement in hardware. The number of levels can be easily adjusted to meet the specific needs of the IoT device. The MLHA can also be used to create different types of hash functions. For example, a collision-resistant hash function can be created by using a large number of levels and complex SHA functions. The MLHA is a promising new approach to hashing for IoT devices. The algorithm is efficient, secure, and energy-saving. It is also flexible and scalable, making it suitable for a wide range of IoT devices, from devices with limited resources to devices with complex resources such as supercomputers. The MLHA was evaluated on a variety of IoT devices, including Raspberry Pi 4B hardware, and on two different operating systems, Windows and Ubuntu. The results showed that the MLHA is both secure and energy-efficient. The fact that the MLHA was tested on two different operating systems and on a variety of IoT devices, including a Raspberry Pi 4B, demonstrates the algorithm's portability and versatility. This is important because it means that the MLHA can be used in a wide range of IoT applications.
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