Enhanced Timestamp Discrepancy to Limit Impact of Replay Attacks in MANETs

Baayer, Aziz; Enneya, Nourddine; Elkoutbi, Mohammed

doi:10.4236/jis.2012.33028

Cited by 9 publications

(5 citation statements)

References 23 publications

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“…In summary, physical layer security in UAVs involves employing a combination of different techniques to protect the wireless communication link from unauthorized access, interference, and interception and allows to ensure reliable and secure wireless communication between the UAVs and the GCS. [103] Detection mechanisms and introduction of a timestamp [126,131,132] Unencrypted radio communication Eavesdropping attack [133] Encrypted and authenticated communication [52],…”

Section: Physical Layer Securitymentioning

confidence: 99%

“…They checked if the time profile of the frequency components in the output signal is compatible with the authentication signal. To mitigate the effect of a Replay attack, in [132], the authors introduced a timestamp for each message and suggested a mechanism to estimate the time needed for receiving and validating the message and compare it with the actual time it takes to receive and validate the message by the receiver. If the difference between the estimated and actual time is larger than the threshold, a Replay attack is then declared detected.…”

Section: Physical Layer Securitymentioning

confidence: 99%

See 1 more Smart Citation

A Survey on Sensor- and Communication-Based Issues of Autonomous UAVs

Mykytyn,

Brzozowski,

Dyka

et al. 2024

CMES

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The application field for Unmanned Aerial Vehicle (UAV) technology and its adoption rate have been increasing steadily in the past years. Decreasing cost of commercial drones has enabled their use at a scale broader than ever before. However, increasing the complexity of UAVs and decreasing the cost, both contribute to a lack of implemented security measures and raise new security and safety concerns. For instance, the issue of implausible or tampered UAV sensor measurements is barely addressed in the current research literature and thus, requires more attention from the research community. The goal of this survey is to extensively review state-of-the-art literature regarding common sensor-and communication-based vulnerabilities, existing threats, and active or passive cyberattacks against UAVs, as well as shed light on the research gaps in the literature. In this work, we describe the Unmanned Aerial System (UAS) architecture to point out the origination sources for security and safety issues. We evaluate the coverage and completeness of each related research work in a comprehensive comparison table as well as classify the threats, vulnerabilities and cyber-attacks into sensor-based and communication-based categories. Additionally, for each individual cyber-attack, we describe existing countermeasures or detection mechanisms and provide a list of requirements to ensure UAV's security and safety. We also address the problem of implausible sensor measurements and introduce the idea of a plausibility check for sensor data. By doing so, we discover additional measures to improve security and safety and report on a research niche that is not well represented in the current research literature. KEYWORDSUnmanned aerial vehicle; unmanned aerial system; cyber security and privacy; drone swarm; security vulnerabilities; cyber-threats; cyber-attacks; plausibility check Nomenclature UAV Unmanned aerial vehicle UAS Unmanned aerial system GCS Ground control station IMU Inertial measurement unit FDI Fault detection and isolation FTC Fault tolerant control 1020

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Section: Physical Layer Securitymentioning

confidence: 99%

Section: Physical Layer Securitymentioning

confidence: 99%

A Survey on Sensor- and Communication-Based Issues of Autonomous UAVs

Mykytyn,

Brzozowski,

Dyka

et al. 2024

CMES

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“…To prevent an adversary from launching replay attacks using a user's accelerometer readings, similar to [26], an encrypted time-stamped identifier can be generated for each block of the accelerometer measurements. The system will then examine these time-stamped identifiers to ascertain that the measurements are originally collected.…”

Section: User Verification Frameworkmentioning

confidence: 99%

User Verification Leveraging Gait Recognition for Smartphone Enabled Mobile Healthcare Systems

Ren

Chen

Chuah

et al. 2015

IEEE Trans. on Mobile Comput.

104

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The rapid deployment of sensing technology in smartphones and the explosion of their usage in people's daily lives provide users with the ability to collectively sense the world. This leads to a growing trend of mobile healthcare systems utilizing sensing data collected from smartphones with/without additional external sensors to analyze and understand people's physical and mental states. However, such healthcare systems are vulnerable to user spoofing, in which an adversary distributes his registered device to other users such that data collected from these users can be claimed as his own to obtain more healthcare benefits and undermine the successful operation of mobile healthcare systems. Existing mitigation approaches either only rely on a secret PIN number (which can not deal with colluded attacks) or require an explicit user action for verification. In this paper, we propose a user verification system leveraging unique gait patterns derived from acceleration readings to detect possible user spoofing in mobile healthcare systems. Our framework exploits the readily available accelerometers embedded within smartphones for user verification. Specifically, our user spoofing mitigation framework (which consists of three components, namely Step Cycle Identification, Step Cycle Interpolation, and Similarity Comparison) is used to extract gait patterns from run-time accelerometer measurements to perform robust user verification under various walking speeds. We show that our framework can be implemented in two ways: user-centric and server-centric, and it is robust to not only random but also mimic attacks. Our extensive experiments using over 3,000 smartphone-based traces with mobile phones placed on different body positions confirm the effectiveness of the proposed framework with users walking at various speeds. This strongly indicates the feasibility of using smartphone based low grade accelerometer to conduct gait recognition and facilitate effective user verification without active user cooperation.

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“…Replay attack: To avoid replay attacks in the WMN, a timestamp concept used in [11] is applied in our proposed framework. This timestamp concept permits a receiving mesh node to validate the received signed messages based on the time interval within which it has received the frame.…”

Section: Security Analysismentioning

confidence: 99%

Security Framework for Hybrid Wireless Mesh Protocol in Wireless Mesh Networks

2014

KSII TIIS

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Wireless Mesh Networks (WMNs) are emerging as promising, convenient next generation wireless network technology. There is a great need for a secure framework for routing in WMNs and several research studies have proposed secure versions of the default routing protocol of WMNs. In this paper, we propose a security framework for Hybrid Wireless Mesh Protocol (HWMP) in WMNs. Contrary to existing schemes, our proposed framework ensures both endto-end and point-to-point authentication and integrity to both mutable and non-mutable fields of routing frames by adding message extension fields to the HWMP path selection frame elements. Security analysis and simulation results show that the proposed approach performs significantly well in spite of the cryptographic computations involved in routing.

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Enhanced Timestamp Discrepancy to Limit Impact of Replay Attacks in MANETs

Cited by 9 publications

References 23 publications

A Survey on Sensor- and Communication-Based Issues of Autonomous UAVs

A Survey on Sensor- and Communication-Based Issues of Autonomous UAVs

User Verification Leveraging Gait Recognition for Smartphone Enabled Mobile Healthcare Systems

Security Framework for Hybrid Wireless Mesh Protocol in Wireless Mesh Networks

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