TY - GEN
T1 - Optimizing Security Measures in Decentralized Mobile Networks with Neutrosophic Fuzzy Topology and PKI
AU - Salama, A. A.
AU - Shams, Mahmoud Y.
AU - Bhatnagar, Roheet
AU - Mabrouk, Ahmed G.
AU - Tarek, Zahraa
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This study proposes a method to improve the security of decentralized mobile networks using Neutrosophic Fuzzy Local Function Algorithms D*, B*, and A∗ to optimize the decision variables (C, B, A), which are associated with different security measures. The three measures of confidence, integrity, and specificity (τ,1, and v)) are used to evaluate the effectiveness of the proposed method. The study presents the optimal values for the three different resolutions (C, B, A) for each condition, as well as the associated τ, i, and v. The results show that the proposed method can effectively improve the security of decentralized mobile networks. The T, i, and v values increase with the increase in the number of nodes, indicating that the proposed method is adaptable to larger-sized networks. Additionally, the optimal values for the three different resolutions increase with the increase in the number of nodes, indicating that the method can effectively improve the T, i, and i. Overall, the study demonstrates the effectiveness of the proposed method in improving the security of decentralized mobile networks. By combining neutrosophic fuzzy topology and PKI and optimizing decision variables using Neutrosophic Fuzzy Local Function algorithms, the proposed method can effectively handle uncertainty and indeterminacy in data while providing authentication and encryption.
AB - This study proposes a method to improve the security of decentralized mobile networks using Neutrosophic Fuzzy Local Function Algorithms D*, B*, and A∗ to optimize the decision variables (C, B, A), which are associated with different security measures. The three measures of confidence, integrity, and specificity (τ,1, and v)) are used to evaluate the effectiveness of the proposed method. The study presents the optimal values for the three different resolutions (C, B, A) for each condition, as well as the associated τ, i, and v. The results show that the proposed method can effectively improve the security of decentralized mobile networks. The T, i, and v values increase with the increase in the number of nodes, indicating that the proposed method is adaptable to larger-sized networks. Additionally, the optimal values for the three different resolutions increase with the increase in the number of nodes, indicating that the method can effectively improve the T, i, and i. Overall, the study demonstrates the effectiveness of the proposed method in improving the security of decentralized mobile networks. By combining neutrosophic fuzzy topology and PKI and optimizing decision variables using Neutrosophic Fuzzy Local Function algorithms, the proposed method can effectively handle uncertainty and indeterminacy in data while providing authentication and encryption.
KW - Communication
KW - MANET
KW - Neutrosophic Fuzzy Data
KW - PKI
KW - Security
KW - Wireless
UR - http://www.scopus.com/inward/record.url?scp=85185381826&partnerID=8YFLogxK
U2 - 10.1109/ICTACS59847.2023.10389980
DO - 10.1109/ICTACS59847.2023.10389980
M3 - Conference contribution
AN - SCOPUS:85185381826
T3 - Proceedings - International Conference on Technological Advancements in Computational Sciences, ICTACS 2023
SP - 1040
EP - 1048
BT - Proceedings - International Conference on Technological Advancements in Computational Sciences, ICTACS 2023
A2 - Chaudhary, Naina
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Technological Advancements in Computational Sciences, ICTACS 2023
Y2 - 1 November 2023 through 3 November 2023
ER -