TY - GEN
T1 - Detectability of Denial-of-Service Attacks on Arbitrarily Varying Channels with State Constraints
AU - Arendt, Christian
AU - Nötzel, Janis
AU - Boche, Holger
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Sixth Generation (6G) wireless networks will become the system-critical infrastructure for the modern information society. For this reason, 6G communication schemes must fulfill resilience by design. Because of its probabilistic nature, a wireless communication link varies in the ability to transfer information from a transmitter to a legitimate receiver. Additionally, interference generated by malicious nodes performing attacks to achieve Denial-of-Service (DoS) may corrupt the communication link. The Arbitrarily Varying Channel (AVC) model captures this vulnerability. The network must be able to algorithmically detect a DoS attack to ensure resilience by design. We investigate the detectability of these attacks in a detection framework based on Turing computability. We show that the task of algorithmic detection of DoS attacks is infeasible when communicating over AVCs with state constraints.
AB - Sixth Generation (6G) wireless networks will become the system-critical infrastructure for the modern information society. For this reason, 6G communication schemes must fulfill resilience by design. Because of its probabilistic nature, a wireless communication link varies in the ability to transfer information from a transmitter to a legitimate receiver. Additionally, interference generated by malicious nodes performing attacks to achieve Denial-of-Service (DoS) may corrupt the communication link. The Arbitrarily Varying Channel (AVC) model captures this vulnerability. The network must be able to algorithmically detect a DoS attack to ensure resilience by design. We investigate the detectability of these attacks in a detection framework based on Turing computability. We show that the task of algorithmic detection of DoS attacks is infeasible when communicating over AVCs with state constraints.
UR - http://www.scopus.com/inward/record.url?scp=85171465889&partnerID=8YFLogxK
U2 - 10.1109/ISIT54713.2023.10206911
DO - 10.1109/ISIT54713.2023.10206911
M3 - Conference contribution
AN - SCOPUS:85171465889
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 2416
EP - 2421
BT - 2023 IEEE International Symposium on Information Theory, ISIT 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Symposium on Information Theory, ISIT 2023
Y2 - 25 June 2023 through 30 June 2023
ER -