TY - GEN
T1 - Fuzzy Cognitive Security Techniques for Data Aggregation in Capillary Networks
AU - Mallapur, Jayshree D.
AU - Balavalad, Kirankumar B.
AU - Bendigeri, Kirankumar Y.
AU - Kumbalavati, Santosh B.
AU - Sidnal, Nandini
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - IoT is a revolutionary area of computing technology that allows many different devices to work together over existing internet infrastructure. Capillary networks are the intermediate interface between the IoT devices and cellular e-nodes of the present IoT development, making sensor network nodes to connect and to make use of the capacity of cellular networks through the gateways. The global connectivity can also be enabled with short-range frequency and with the well-managed security and virtual services of the network. But biggest challenge they all face is security provisioning while data aggregation. Our paper has come with unique solution for security problem for data aggregation in capillary networks. We have proposed fuzzy cognitive security system, which considers few influential parameters for fuzzification to normalize the uncertainty and carrying out data aggregation. The proposed scheme shows that there is an increase in throughput and a decrease in the packet loss ratio.
AB - IoT is a revolutionary area of computing technology that allows many different devices to work together over existing internet infrastructure. Capillary networks are the intermediate interface between the IoT devices and cellular e-nodes of the present IoT development, making sensor network nodes to connect and to make use of the capacity of cellular networks through the gateways. The global connectivity can also be enabled with short-range frequency and with the well-managed security and virtual services of the network. But biggest challenge they all face is security provisioning while data aggregation. Our paper has come with unique solution for security problem for data aggregation in capillary networks. We have proposed fuzzy cognitive security system, which considers few influential parameters for fuzzification to normalize the uncertainty and carrying out data aggregation. The proposed scheme shows that there is an increase in throughput and a decrease in the packet loss ratio.
KW - Capillary networks
KW - Cognitive
KW - Fuzzy
KW - Security
UR - http://www.scopus.com/inward/record.url?scp=85186652045&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-9704-6_22
DO - 10.1007/978-981-99-9704-6_22
M3 - Conference contribution
AN - SCOPUS:85186652045
SN - 9789819997039
T3 - Lecture Notes in Networks and Systems
SP - 253
EP - 262
BT - Proceedings of 5th International Conference on Computer and Communication Technologies - IC3T 2023
A2 - Devi, B. Rama
A2 - Raju, M.
A2 - Kumar, Kishore
A2 - Raju, K. Srujan
A2 - Sellathurai, Mathini
PB - Springer Science and Business Media Deutschland GmbH
T2 - 5th International Conference on Computer and Communication Technologies, IC3T 2023
Y2 - 6 October 2023 through 7 October 2023
ER -
