Cyber Deception Against Battery Drain DoS Attacks in Wireless Sensor Networks Using Signaling Game
Wireless sensor networks (WSNs) are essential in various domains such as environmental monitoring, industrial automation, healthcare, and military applications. Their ability to collect real-time data has transformed operations and decision-making. However, the limited energy resources of WSNs make...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10820340/ |
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| author | Ines Carole Kombou Sihomnou Abderrahim Benslimane Ahmed H. Anwar Gabriel Deugoue Charles A. Kamhoua |
| author_facet | Ines Carole Kombou Sihomnou Abderrahim Benslimane Ahmed H. Anwar Gabriel Deugoue Charles A. Kamhoua |
| author_sort | Ines Carole Kombou Sihomnou |
| collection | DOAJ |
| description | Wireless sensor networks (WSNs) are essential in various domains such as environmental monitoring, industrial automation, healthcare, and military applications. Their ability to collect real-time data has transformed operations and decision-making. However, the limited energy resources of WSNs make them vulnerable to energy-draining attacks, particularly drain denial of service (DoS) attacks, which aim to exhaust their energy supply. To mitigate this issue, we propose a lightweight defense mechanism against energy-draining DoS attacks using signaling theory and game theory to model the interaction between an attacker and a regular node. In this model, the regular node sends signals to mask true information, deceiving the attacker. By applying a perfect Bayesian Nash equilibrium, we derive optimal strategies for both players, analyzing how deceptive signaling affects the attacker’s behavior and reduces their potential gain. This approach allows us to identify energy-efficient scenarios and improve network security by distorting the attacker’s perception of the target. Ultimately, a node with low energy capacity is able to protect its energy by emitting distorted signals. |
| format | Article |
| id | doaj-art-91c6c5a8b02d47a78a5a53e43d893ee7 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-91c6c5a8b02d47a78a5a53e43d893ee72025-01-10T00:01:19ZengIEEEIEEE Access2169-35362025-01-01135219523510.1109/ACCESS.2024.352506410820340Cyber Deception Against Battery Drain DoS Attacks in Wireless Sensor Networks Using Signaling GameInes Carole Kombou Sihomnou0https://orcid.org/0009-0002-4522-1790Abderrahim Benslimane1https://orcid.org/0000-0001-9307-6132Ahmed H. Anwar2Gabriel Deugoue3Charles A. Kamhoua4https://orcid.org/0000-0003-2169-5975Laboratoire Informatique d’Avignon, Avignon University, Avignon, FranceLaboratoire Informatique d’Avignon, Avignon University, Avignon, FranceNetwork Security Branch, DEVCOM Army Research Laboratory, Adelphi, MD, USADepartment of Mathematics and Computer Science, University of Dschang, Dschang, CameroonNetwork Security Branch, DEVCOM Army Research Laboratory, Adelphi, MD, USAWireless sensor networks (WSNs) are essential in various domains such as environmental monitoring, industrial automation, healthcare, and military applications. Their ability to collect real-time data has transformed operations and decision-making. However, the limited energy resources of WSNs make them vulnerable to energy-draining attacks, particularly drain denial of service (DoS) attacks, which aim to exhaust their energy supply. To mitigate this issue, we propose a lightweight defense mechanism against energy-draining DoS attacks using signaling theory and game theory to model the interaction between an attacker and a regular node. In this model, the regular node sends signals to mask true information, deceiving the attacker. By applying a perfect Bayesian Nash equilibrium, we derive optimal strategies for both players, analyzing how deceptive signaling affects the attacker’s behavior and reduces their potential gain. This approach allows us to identify energy-efficient scenarios and improve network security by distorting the attacker’s perception of the target. Ultimately, a node with low energy capacity is able to protect its energy by emitting distorted signals.https://ieeexplore.ieee.org/document/10820340/DoSenergy attacksgame theoryPBNEsignaling gamesignaling theory |
| spellingShingle | Ines Carole Kombou Sihomnou Abderrahim Benslimane Ahmed H. Anwar Gabriel Deugoue Charles A. Kamhoua Cyber Deception Against Battery Drain DoS Attacks in Wireless Sensor Networks Using Signaling Game IEEE Access DoS energy attacks game theory PBNE signaling game signaling theory |
| title | Cyber Deception Against Battery Drain DoS Attacks in Wireless Sensor Networks Using Signaling Game |
| title_full | Cyber Deception Against Battery Drain DoS Attacks in Wireless Sensor Networks Using Signaling Game |
| title_fullStr | Cyber Deception Against Battery Drain DoS Attacks in Wireless Sensor Networks Using Signaling Game |
| title_full_unstemmed | Cyber Deception Against Battery Drain DoS Attacks in Wireless Sensor Networks Using Signaling Game |
| title_short | Cyber Deception Against Battery Drain DoS Attacks in Wireless Sensor Networks Using Signaling Game |
| title_sort | cyber deception against battery drain dos attacks in wireless sensor networks using signaling game |
| topic | DoS energy attacks game theory PBNE signaling game signaling theory |
| url | https://ieeexplore.ieee.org/document/10820340/ |
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