TY - GEN
T1 - An Improved Security OLSR Protocol against Black Hole Attack based on FANET
AU - Ren, Shanyao
AU - Li, Dongyu
AU - Hu, Qinglei
AU - Liu, Yizhong
AU - Liu, Jianwei
N1 - Publisher Copyright:
© 2022 ACA.
PY - 2022
Y1 - 2022
N2 - Flying ad hoc network (FANET) is an unmanned aerial vehicle multi-hop, autonomous Mobile ad hoc network (MANET). FANET has many applications in military and civilian fields, such as emergency operations, rescue early warning, and target detection. However, the FANET network still faces severe security risks. Any node in the network can act as a message forwarding node. Therefore, malicious nodes may inject fake routing tables into the network or send wrong routing messages, seriously affecting network data transmission. The black hole attack is a typical attack on FANET. After a malicious black hole node joins the network, it will selectively or entirely discard the data packets it receives. Optimized link state routing (OLSR) is a routing protocol widely applied in FANET with low overhead. However, it still faces security threats, especially the black hole attack, which endangers communication quality seriously. This paper proposes an improved OLSR protocol called secure-OLSR (S-OLSR) to detect black hole attacks. S-OLSR uses fuzzy logic to evaluate node trust value, optimizes the multipoint relay node selection algorithm in OLSR, and improves the security of the OLSR protocol. We simulate the method on the NS-2.35 platform, evaluating the security of S-OLSR using performance parameters such as packet delivery ratio, throughput, and End-to-End Delay. The simulation results show that the S-OLSR model can resist black hole attacks better than the OLSR model.
AB - Flying ad hoc network (FANET) is an unmanned aerial vehicle multi-hop, autonomous Mobile ad hoc network (MANET). FANET has many applications in military and civilian fields, such as emergency operations, rescue early warning, and target detection. However, the FANET network still faces severe security risks. Any node in the network can act as a message forwarding node. Therefore, malicious nodes may inject fake routing tables into the network or send wrong routing messages, seriously affecting network data transmission. The black hole attack is a typical attack on FANET. After a malicious black hole node joins the network, it will selectively or entirely discard the data packets it receives. Optimized link state routing (OLSR) is a routing protocol widely applied in FANET with low overhead. However, it still faces security threats, especially the black hole attack, which endangers communication quality seriously. This paper proposes an improved OLSR protocol called secure-OLSR (S-OLSR) to detect black hole attacks. S-OLSR uses fuzzy logic to evaluate node trust value, optimizes the multipoint relay node selection algorithm in OLSR, and improves the security of the OLSR protocol. We simulate the method on the NS-2.35 platform, evaluating the security of S-OLSR using performance parameters such as packet delivery ratio, throughput, and End-to-End Delay. The simulation results show that the S-OLSR model can resist black hole attacks better than the OLSR model.
KW - Communication Security
KW - FANET
KW - Fuzzy Logic
KW - Optimized Link State Routing Protocol
UR - https://www.scopus.com/pages/publications/85135622272
U2 - 10.23919/ASCC56756.2022.9828257
DO - 10.23919/ASCC56756.2022.9828257
M3 - 会议稿件
AN - SCOPUS:85135622272
T3 - ASCC 2022 - 2022 13th Asian Control Conference, Proceedings
SP - 383
EP - 388
BT - ASCC 2022 - 2022 13th Asian Control Conference, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th Asian Control Conference, ASCC 2022
Y2 - 4 May 2022 through 7 May 2022
ER -