Modern automobiles are equipped with connectivity features to enhance the user's comfort.Bluetooth is one such communication technology that is used to pair a personal device with an automotive infotainment unit.U...Modern automobiles are equipped with connectivity features to enhance the user's comfort.Bluetooth is one such communication technology that is used to pair a personal device with an automotive infotainment unit.Upon pairing,the user could access the personal information on the phone through the automotive head unit with minimum distraction while driving.However,such connectivity introduces a possibility for privacy attacks.Hence,performing an in-depth analysis of the system with privacy constraints is extremely important to prevent unauthorized access to personal information.In this work,we perform a systematic analysis of the Bluetooth network of an automotive infotainment unit to exploit security and privacy-related vulnerabilities.We model the identifed threat with respect to privacy constraints of the system,emphasize the severity of attacks through a standardized rating metric and then provide potential countermeasures to prevent the attack.We perform System Theoretic Process Analysis for Privacy as a part of the systematic analysis and use the Common Vulnerability Scoring System to derive attack severity.The identifed vulnerabilities are due to design flaws and assumptions on Bluetooth protocol implementation on automotive infotainment systems.We then elicit the vulnerability by performing a privacy attack on the Automotive system in an actual vehicle.We use Android Open-Source Project to report our findings and propose defense strategies.展开更多
Vehicular networks enable seamless connectivity for exchanging emergency and infotainment content.However,retrieving infotainment data from remote servers often introduces high delays,degrading the Quality of Service(...Vehicular networks enable seamless connectivity for exchanging emergency and infotainment content.However,retrieving infotainment data from remote servers often introduces high delays,degrading the Quality of Service(QoS).To overcome this,caching frequently requested content at fog-enabled Road Side Units(RSUs)reduces communication latency.Yet,the limited caching capacity of RSUs makes it impractical to store all contents with varying sizes and popularity.This research proposes an efficient content caching algorithm that adapts to dynamic vehicular demands on highways to maximize request satisfaction.The scheme is evaluated against Intelligent Content Caching(ICC)and Random Caching(RC).The obtained results show that our proposed scheme entertains more contentrequesting vehicles as compared to ICC and RC,with 33%and 41%more downloaded data in 28%and 35%less amount of time from ICC and RC schemes,respectively.展开更多
文摘Modern automobiles are equipped with connectivity features to enhance the user's comfort.Bluetooth is one such communication technology that is used to pair a personal device with an automotive infotainment unit.Upon pairing,the user could access the personal information on the phone through the automotive head unit with minimum distraction while driving.However,such connectivity introduces a possibility for privacy attacks.Hence,performing an in-depth analysis of the system with privacy constraints is extremely important to prevent unauthorized access to personal information.In this work,we perform a systematic analysis of the Bluetooth network of an automotive infotainment unit to exploit security and privacy-related vulnerabilities.We model the identifed threat with respect to privacy constraints of the system,emphasize the severity of attacks through a standardized rating metric and then provide potential countermeasures to prevent the attack.We perform System Theoretic Process Analysis for Privacy as a part of the systematic analysis and use the Common Vulnerability Scoring System to derive attack severity.The identifed vulnerabilities are due to design flaws and assumptions on Bluetooth protocol implementation on automotive infotainment systems.We then elicit the vulnerability by performing a privacy attack on the Automotive system in an actual vehicle.We use Android Open-Source Project to report our findings and propose defense strategies.
基金supported and funded by the Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University(IMSIU)(grant number IMSIU-DDRSP2504).
文摘Vehicular networks enable seamless connectivity for exchanging emergency and infotainment content.However,retrieving infotainment data from remote servers often introduces high delays,degrading the Quality of Service(QoS).To overcome this,caching frequently requested content at fog-enabled Road Side Units(RSUs)reduces communication latency.Yet,the limited caching capacity of RSUs makes it impractical to store all contents with varying sizes and popularity.This research proposes an efficient content caching algorithm that adapts to dynamic vehicular demands on highways to maximize request satisfaction.The scheme is evaluated against Intelligent Content Caching(ICC)and Random Caching(RC).The obtained results show that our proposed scheme entertains more contentrequesting vehicles as compared to ICC and RC,with 33%and 41%more downloaded data in 28%and 35%less amount of time from ICC and RC schemes,respectively.
