Amigo: Proximity-Based Authentication of Mobile Devices

Varshavsky, Alex; Scannell, Adin; LaMarca, Anthony; Lara, Eyal de

doi:10.1007/978-3-540-74853-3_15

Cited by 111 publications

(130 citation statements)

References 13 publications

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“…In addition, contextbased detection assumes that attackers cannot infer the information needed for verification at a distance. For example, GPS coordinates and/or RF packets can be used as contextual information for proximity detection [40][41][42][43].…”

Section: Received Signal Strength Indicator (Rssi)mentioning

confidence: 99%

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Sound-Proximity: 2-Factor Authentication against Relay Attack on Passive Keyless Entry and Start System

Choi

Seo

Lee

2018

Journal of Advanced Transportation

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Passive keyless entry and start system has been widely used in modern cars. Car owners can open the door or start the engine merely by having the key in their pocket. PKES was originally designed to establish a communication channel between the car and its key within approximately one meter. However, the channel is vulnerable to relay attacks by which attackers unlock the door even if the key is out of range. Even though relay attacks have been recognized as a potential threat for over ten years, such attacks were thought to be impractical due to highly expensive equipment; however, the required cost is gradually practical. Recently, a relay attack has been demonstrated with equipment being sold only under $100. In this paper, we propose a sound-based proximity-detection method to prevent relay attacks on PKES systems. The sound is eligible to be applied to PKES because audio systems are commonly available in cars. We evaluate our method, considering environments where cars are commonly parked, and present the recording time satisfying both usability and security. In addition, we newly define an advanced attack, called the record-and-playback attack, for sound-based proximity detection, demonstrating that our method is robust to such an attack.

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Section: Received Signal Strength Indicator (Rssi)mentioning

confidence: 99%

“…Varshavsky et al proposed a proximity-detection method that uses RF packets and RSSI as contextual information [43]. Shrestha et al proposed a method that exclusively relies on contextual information such as temperature, precision gas, humidity, and altitude [41].…”

Section: Received Signal Strength Indicator (Rssi)mentioning

confidence: 99%

Sound-Proximity: 2-Factor Authentication against Relay Attack on Passive Keyless Entry and Start System

Choi

Seo

Lee

2018

Journal of Advanced Transportation

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“…Liang Xiao, Qiben Yan, Wenjing Lou, Guiquan Chen, and Y. Thomas Hou [2] this paper first introduce Amigo, an algorithm that extends the Diffie-Hellman key exchange with verification of device co-location. They showed that by using knowledge of dynamic characteristics of device's common radio environment as proof of physical proximity, it is possible to securely pair devices that come within close proximity.…”

Section: Related Workmentioning

confidence: 99%

Proximity Based Security Technique for Mobile User in Wireless Networks Using Multilevel Session Aggregation

Salame¹

2015

IJIRCCE

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Establishment of secure communication between wireless devices/nodes that do not share a prior trust relationship is an important problem. Today's location-sensitive service relies on users mobile device for determining its location and send it to the application. Data aggregation is a key challenging task in wireless senor network to minimize energy consumption and guarantees the data security and reliability. Multi-level data aggregation technique assures security and reliability of data aggregation in the presence of secure routing. We propose a privacy-preserving proximity-based multilevel reliable data aggregation security system for location-based services in wireless networks, without requiring any public key infrastructure, trusted authority or early required secret. In this system, the proximity based authentication and multi level session key establishment are implemented based on temporal location tags. Combining the unique physical features of the signals which may be sent from more than one ambient radio sources, the location tags cannot be easily faked by attackers. More specifically, Distributed data server (DDS) which is the uppermost level builds a public location tag according to some parameters of ambient packet i.e. sequence numbers, received signal strength indicators, and media access control (MAC) addresses. DDS also keeps a secret location tag contain the packet arrival time information which will helpful in generating multilevel session key. As DDS never expose their secret location tags, this system is vigorous against spoofers and eavesdroppers outside the proximity range. Moreover, by exploiting the packet arrival time of the ambient signals the multi level session key establishment strategy will significantly increases the key generation rate.

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“…Integrity and authenticity can be addressed with distance bounding [7] or RF fingerprinting [8] solutions. Physical proximity of devices and location dependent characteristics of radio signals are used to establish secret keys and trust between devices [9][10][11].…”

Section: Security In Wireless Communicationmentioning

confidence: 99%

Security Aspects of Short-Range Wireless Communication – Risk Analysis for the Healthcare

Evesti¹,

Suomalainen²,

Savola³

2014

IJICR

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Amigo: Proximity-Based Authentication of Mobile Devices

Cited by 111 publications

References 13 publications

Sound-Proximity: 2-Factor Authentication against Relay Attack on Passive Keyless Entry and Start System

Sound-Proximity: 2-Factor Authentication against Relay Attack on Passive Keyless Entry and Start System

Proximity Based Security Technique for Mobile User in Wireless Networks Using Multilevel Session Aggregation

Security Aspects of Short-Range Wireless Communication – Risk Analysis for the Healthcare

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