Computational Overhead Analysis Sample Clauses

Computational Overhead Analysis. In this subsection, we analyze the computational overheads in terms of time taken for each step in the protocol run. To facilitate the evaluation of computation costs, we use a scale provided by Xxxxx et al. [2]. They provided computation costs as in Table 3 .Table 4 shows the computational cost comparisons of M2MAKA-FS and the related protocols. Results from Table 4 show that M2MAKA-FS is more efficient than Shuai et al.’s protocol and Li et al.’s protocol. Kapito et al.’s protocol is slightly more efficient than M2MAKA-FS but their protocol lacks SK agreement with FS feature which is very important in IoT environment. Although two protocols of Xxxxx et al. and Xxxx et al. are very efficient in computation cost, their protocols lack the security and privacy features as explained inTable 2. Xxxx et al.’s protocol does not provide anonymity and unlinkability and is also not resistant to various attacks whereas Xxxxx et al.’s protocol does not provide unlinkability.

Computational Overhead Analysis. In this subsection, we analyze the computational overheads in terms of time taken for each step in the protocol run. To facilitate the evaluation of computation costs, we use a scale provided by Wu et al. [42]. They provided computation costs for a symmetric key operation (Th), an asymmetric key operation (TA), and an ECC point multiplication (TE) as 0.0000328 ms, 0.0214835 ms and 0.427576 ms, respectively. Although we used two fuzzy commitment functions in IoTMAKA, we consider them as the same as the hash function because of their similar nature. Table 4 and Figure 5 (a) show the computational cost comparisons of IoTMAKA and the related four protocols. Results from Table 4 show that IoTMAKA is more efficient than the protocols of Xxxx et al; Jiang et al; and Li et al. He et al.’s protocol is slightly more efficient than IoTMAKA but their protocol lacks many functional features as shown in Table 3. He et al.’s protocol is also vulnerable to many attacks. IoTMAKA keeps the efficiency of computations by reducing computational overheads by 25% on average and achieves most functional, security, and privacy features.