The Experts below are selected from a list of 134445 Experts worldwide ranked by ideXlab platform
Jiliang Wang - One of the best experts on this subject based on the ideXlab platform.
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genewave fast authentication and key agreement on commodity mobile devices
IEEE ACM Transactions on Networking, 2018Co-Authors: Pengjin Xie, Jingchao Feng, Zhichao Cao, Jiliang WangAbstract:Device-to-device communication is widely used for mobile devices and Internet of Things. Authentication and key agreement are critical to build a secure channel between two devices. However, existing approaches often rely on a pre-built fingerprint database and suffer from low key generation rate. We present GeneWave, a fast device authentication and key agreement protocol for commodity mobile devices. GeneWave first achieves bidirectional initial authentication based on the physical Response Interval between two devices. To keep the accuracy of Interval estimation, we eliminate time uncertainty on commodity devices through fast signal detection and redundancy time cancellation. Then, we derive the initial acoustic channel Response for device authentication. We design a novel coding scheme for efficient key agreement while ensuring security. Therefore, two devices can authenticate each other and securely agree on a symmetric key. GeneWave requires neither special hardware nor pre-built fingerprint database, and thus it is easy-to-use on commercial mobile devices. We implement GeneWave on mobile devices (i.e., Nexus 5X and Nexus 6P) and evaluate its performance through extensive experiments. Experimental results show that GeneWave efficiently accomplish secure key agreement on commodity smartphones with a key generation rate 10 $\times$ faster than the state-of-the-art approach.
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genewave fast authentication and key agreement on commodity mobile devices
International Conference on Network Protocols, 2017Co-Authors: Pengjin Xie, Jingchao Feng, Zhichao Cao, Jiliang WangAbstract:Device-to-device (D2D) communication is widely used for mobile devices and Internet of Things (IoT). Authentication and key agreement are critical to build a secure channel between two devices. However, existing approaches often rely on a pre-built fingerprint database and suffer from low key generation rate. We present GeneWave, a fast device authentication and key agreement protocol for commodity mobile devices. GeneWave first achieves bidirectional initial authentication based on the physical Response Interval between two devices. To keep the accuracy of Interval estimation, we eliminate time uncertainty on commodity devices through fast signal detection and redundancy time cancellation. Then we derive the initial acoustic channel Response (ACR) for device authentication. We design a novel coding scheme for efficient key agreement while ensuring security. Therefore, two devices can authenticate each other and securely agree on a symmetric key. GeneWave requires neither special hardware nor pre-built fingerprint database, and thus it is easy-to-use on commercial mobile devices. We implement GeneWave on mobile devices (i.e., Nexus 5X and Nexus 6P) and evaluate its performance through extensive experiments. Experimental results show that GeneWave efficiently accomplish secure key agreement on commodity smartphones with a key generation rate 10x faster than the state-of-the-art approach.
Daniel W Spaite - One of the best experts on this subject based on the ideXlab platform.
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optimal defibrillation Response Intervals for maximum out of hospital cardiac arrest survival rates
Annals of Emergency Medicine, 2003Co-Authors: Ian G Stiell, Valerie J De Maio, George A Wells, Daniel W SpaiteAbstract:Abstract Study objective: Many centers optimize their emergency medical services (EMS) systems to achieve a target defibrillation Response Interval of "call received by dispatch" to "arrival at scene by responder with defibrillator" in 8 minutes or less for at least 90% of cardiac arrest cases. The objective of this study was to analyze survival as a function of time to test the evidence for this standard. Methods: This prospective cohort study included all adult, cardiac etiology, out-of-hospital cardiac arrest cases from phases I and II of the Ontario Prehospital Advanced Life Support (OPALS) study. Patients in the 21 Ontario study communities received a basic life support level of care with defibrillation by ambulance and firefighters but no advanced life support. Survival was plotted as a function of the defibrillation Response Interval. The equation of the curve, generated by means of logistic regression, was used to estimate survival at various defibrillation Response Interval cutoff points. Results: From January 1, 1991, to December 31, 1997, there were 392 (4.2%) survivors overall among the 9,273 patients treated. The defibrillation Response Interval mean was 6.2 minutes, and the 90th percentile was 9.3 minutes. There was a steep decrease in the first 5 minutes of the survival curve, beyond which the slope gradually leveled off. Controlling for known covariates, the decrement in the odds of survival with increasing Response Interval was 0.77 per minute (95% confidence Interval 0.74 to 0.83). The survival function predicts, for successive 90th percentile cutoff points, both survival rates and additional lives saved per year in the OPALS communities compared with the 8-minute standard: 9 minutes (4.6%; −18 lives), 8 minutes (5.9%; 0 lives), 7 minutes (7.5%; 23 lives), 6 minutes (9.5%; 51 lives), and 5 minutes (12.0%; 86 lives). Conclusion: The 8-minute target established in many communities is not supported by our data as the optimal EMS defibrillation Response Interval for cardiac arrest. EMS system leaders should consider the effect of decreasing the 90th percentile defibrillation Response Interval to less than 8 minutes. [ Ann Emerg Med. 2003;42:242-250.]
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improved out of hospital cardiac arrest survival through the inexpensive optimization of an existing defibrillation program opals study phase ii
JAMA, 1999Co-Authors: Ian G Stiell, Daniel W Spaite, Brian J Field, Douglas P Munkley, Marion B Lyver, Lorraine G Luinstra, Roxanne Ward, Valerie J De Maio, George A Wells, Tony CampeauAbstract:ContextSurvival rates for out-of-hospital cardiac arrest are low; published survival rates in Ontario are only 2.5%. This study represents phase II of the Ontario Prehospital Advanced Life Support (OPALS) study, which is designed to systematically evaluate the effectiveness and efficiency of various prehospital interventions for patients with cardiac arrest, trauma, and critical illnesses.ObjectiveTo assess the impact on out-of-hospital cardiac arrest survival of the implementation of a rapid defibrillation program in a large multicenter emergency medical services (EMS) system with existing basic life support and defibrillation (BLS-D) level of care.DesignControlled clinical trial comparing survival for 36 months before (phase I) and 12 months after (phase II) system optimization.SettingNineteen urban and suburban Ontario communities (populations ranging from 16,000 to 750,000 [total, 2.7 million]).PatientsAll patients who had out-of-hospital cardiac arrest in the study communities for whom resuscitation was attempted by emergency responders.InterventionsStudy communities optimized their EMS systems to achieve the target Response Interval from when a call was received until a vehicle stopped with a defibrillator of 8 minutes or less for 90% of cardiac arrest cases. Working both locally and provincially, communities implemented multiple measures, including defibrillation by firefighters, base paging, tiered Response agreements with fire departments, continuous quality improvement for Response Intervals, and province-wide revision and implementation of standard dispatch policies. All Response times were obtained from a central dispatch system.Main Outcome MeasureSurvival to hospital discharge.ResultsThe 4690 cardiac arrest patients studied in phase I and the 1641 in phase II were similar for all clinical and demographic characteristics, including age, sex, witnessed status, rhythm, and receipt of bystander cardiopulmonary resuscitation. The proportion of cases meeting the 8-minute Response criterion improved (76.7% vs 92.5%; P<.001) as did most median Response Intervals. Overall survival to hospital discharge for all rhythm groups combined improved from 3.9% to 5.2% (P=.03). The 33% relative increase in survival represents an additional 21 lives saved each year in the study communities (approximately 1 life per 120,000 residents). The charges were estimated to be US $46,900 per life saved for establishing the rapid defibrillation program and US $2400 per life saved annually for maintaining the program.ConclusionAn inexpensive, multifaceted system optimization approach to rapid defibrillation can lead to significant improvements in survival after cardiac arrest in a large BLS-D EMS system.
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modifiable factors associated with improved cardiac arrest survival in a multicenter basic life support defibrillation system opals study phase i results
Annals of Emergency Medicine, 1999Co-Authors: Ian G Stiell, G A Wells, Valerie J Demaio, Daniel W Spaite, Brian J Field, Douglas P Munkley, Marion B Lyver, Lorraine G Luinstra, Roxanne WardAbstract:Abstract Study objectives: This study was conducted to identify modifiable factors associated with survival for prehospital cardiac arrest in a large, multicenter EMS system with basic life support/defibrillation (BLS-D) level of care. Methods: This observational cohort study constitutes Phase I of the 3-phase Ontario Prehospital Advanced Life Support (OPALS) Study. Included were all adults who had cardiac arrest before EMS arrival in 21 urban/suburban communities that operate under the jurisdiction of 1 ambulance services branch, have 911 telephone service, and provide ambulance defibrillation but no prehospital advanced life support (ALS). Central dispatch and ambulance records were reviewed according to the Utstein guidelines. Associations between multiple patient and EMS factors and survival to discharge were assessed by univariate then stepwise logistic regression analyses. Results: From January 1, 1991, to January 31, 1995, 5,335 eligible patients were treated. Of these, 46.8% of cardiac arrests were witnessed by citizens, 14.5% received bystander CPR, 25.6% received CPR by fire or police, and 38.2% had an initial rhythm of ventricular fibrillation/ventricular tachycardia (VF/VT). The mean Interval from call received to vehicle stopped was 6.7 minutes. Survival was 3.5% overall and 8.8% for VF/VT. Multivariate analysis found the following factors to be independently associated with survival (odds ratio with 95% confidence Intervals): age .81 (.73, .89), bystander-witnessed arrest 4.05 (2.78, 5.90), bystander CPR 2.98 (2.07, 4.29), CPR by fire or police 2.20 (1.46, 3.31), and Response Interval call received to vehicle stopped .76 (.71, .82). Conclusion: This represents the largest multicenter BLS-D study of prehospital cardiac arrest yet conducted and clearly indicates that patient survival may be improved by optimization of EMS Response Intervals, bystander CPR, as well as first-responder CPR by fire or police. [Stiell IG, Wells GA, DeMaio VJ, Spaite DW, Field BJ, Munkley DP, Lyver MB, Luinstra LG, Ward R, for the OPALS Study Group: Modifiable factors associated with improved cardiac arrest survival in a multicenter basic life support/defibrillation system: OPALS Study phase I results. Ann Emerg Med January 1999;33:44-50.]
Ian G Stiell - One of the best experts on this subject based on the ideXlab platform.
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optimal defibrillation Response Intervals for maximum out of hospital cardiac arrest survival rates
Annals of Emergency Medicine, 2003Co-Authors: Ian G Stiell, Valerie J De Maio, George A Wells, Daniel W SpaiteAbstract:Abstract Study objective: Many centers optimize their emergency medical services (EMS) systems to achieve a target defibrillation Response Interval of "call received by dispatch" to "arrival at scene by responder with defibrillator" in 8 minutes or less for at least 90% of cardiac arrest cases. The objective of this study was to analyze survival as a function of time to test the evidence for this standard. Methods: This prospective cohort study included all adult, cardiac etiology, out-of-hospital cardiac arrest cases from phases I and II of the Ontario Prehospital Advanced Life Support (OPALS) study. Patients in the 21 Ontario study communities received a basic life support level of care with defibrillation by ambulance and firefighters but no advanced life support. Survival was plotted as a function of the defibrillation Response Interval. The equation of the curve, generated by means of logistic regression, was used to estimate survival at various defibrillation Response Interval cutoff points. Results: From January 1, 1991, to December 31, 1997, there were 392 (4.2%) survivors overall among the 9,273 patients treated. The defibrillation Response Interval mean was 6.2 minutes, and the 90th percentile was 9.3 minutes. There was a steep decrease in the first 5 minutes of the survival curve, beyond which the slope gradually leveled off. Controlling for known covariates, the decrement in the odds of survival with increasing Response Interval was 0.77 per minute (95% confidence Interval 0.74 to 0.83). The survival function predicts, for successive 90th percentile cutoff points, both survival rates and additional lives saved per year in the OPALS communities compared with the 8-minute standard: 9 minutes (4.6%; −18 lives), 8 minutes (5.9%; 0 lives), 7 minutes (7.5%; 23 lives), 6 minutes (9.5%; 51 lives), and 5 minutes (12.0%; 86 lives). Conclusion: The 8-minute target established in many communities is not supported by our data as the optimal EMS defibrillation Response Interval for cardiac arrest. EMS system leaders should consider the effect of decreasing the 90th percentile defibrillation Response Interval to less than 8 minutes. [ Ann Emerg Med. 2003;42:242-250.]
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improved out of hospital cardiac arrest survival through the inexpensive optimization of an existing defibrillation program opals study phase ii
JAMA, 1999Co-Authors: Ian G Stiell, Daniel W Spaite, Brian J Field, Douglas P Munkley, Marion B Lyver, Lorraine G Luinstra, Roxanne Ward, Valerie J De Maio, George A Wells, Tony CampeauAbstract:ContextSurvival rates for out-of-hospital cardiac arrest are low; published survival rates in Ontario are only 2.5%. This study represents phase II of the Ontario Prehospital Advanced Life Support (OPALS) study, which is designed to systematically evaluate the effectiveness and efficiency of various prehospital interventions for patients with cardiac arrest, trauma, and critical illnesses.ObjectiveTo assess the impact on out-of-hospital cardiac arrest survival of the implementation of a rapid defibrillation program in a large multicenter emergency medical services (EMS) system with existing basic life support and defibrillation (BLS-D) level of care.DesignControlled clinical trial comparing survival for 36 months before (phase I) and 12 months after (phase II) system optimization.SettingNineteen urban and suburban Ontario communities (populations ranging from 16,000 to 750,000 [total, 2.7 million]).PatientsAll patients who had out-of-hospital cardiac arrest in the study communities for whom resuscitation was attempted by emergency responders.InterventionsStudy communities optimized their EMS systems to achieve the target Response Interval from when a call was received until a vehicle stopped with a defibrillator of 8 minutes or less for 90% of cardiac arrest cases. Working both locally and provincially, communities implemented multiple measures, including defibrillation by firefighters, base paging, tiered Response agreements with fire departments, continuous quality improvement for Response Intervals, and province-wide revision and implementation of standard dispatch policies. All Response times were obtained from a central dispatch system.Main Outcome MeasureSurvival to hospital discharge.ResultsThe 4690 cardiac arrest patients studied in phase I and the 1641 in phase II were similar for all clinical and demographic characteristics, including age, sex, witnessed status, rhythm, and receipt of bystander cardiopulmonary resuscitation. The proportion of cases meeting the 8-minute Response criterion improved (76.7% vs 92.5%; P<.001) as did most median Response Intervals. Overall survival to hospital discharge for all rhythm groups combined improved from 3.9% to 5.2% (P=.03). The 33% relative increase in survival represents an additional 21 lives saved each year in the study communities (approximately 1 life per 120,000 residents). The charges were estimated to be US $46,900 per life saved for establishing the rapid defibrillation program and US $2400 per life saved annually for maintaining the program.ConclusionAn inexpensive, multifaceted system optimization approach to rapid defibrillation can lead to significant improvements in survival after cardiac arrest in a large BLS-D EMS system.
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modifiable factors associated with improved cardiac arrest survival in a multicenter basic life support defibrillation system opals study phase i results
Annals of Emergency Medicine, 1999Co-Authors: Ian G Stiell, G A Wells, Valerie J Demaio, Daniel W Spaite, Brian J Field, Douglas P Munkley, Marion B Lyver, Lorraine G Luinstra, Roxanne WardAbstract:Abstract Study objectives: This study was conducted to identify modifiable factors associated with survival for prehospital cardiac arrest in a large, multicenter EMS system with basic life support/defibrillation (BLS-D) level of care. Methods: This observational cohort study constitutes Phase I of the 3-phase Ontario Prehospital Advanced Life Support (OPALS) Study. Included were all adults who had cardiac arrest before EMS arrival in 21 urban/suburban communities that operate under the jurisdiction of 1 ambulance services branch, have 911 telephone service, and provide ambulance defibrillation but no prehospital advanced life support (ALS). Central dispatch and ambulance records were reviewed according to the Utstein guidelines. Associations between multiple patient and EMS factors and survival to discharge were assessed by univariate then stepwise logistic regression analyses. Results: From January 1, 1991, to January 31, 1995, 5,335 eligible patients were treated. Of these, 46.8% of cardiac arrests were witnessed by citizens, 14.5% received bystander CPR, 25.6% received CPR by fire or police, and 38.2% had an initial rhythm of ventricular fibrillation/ventricular tachycardia (VF/VT). The mean Interval from call received to vehicle stopped was 6.7 minutes. Survival was 3.5% overall and 8.8% for VF/VT. Multivariate analysis found the following factors to be independently associated with survival (odds ratio with 95% confidence Intervals): age .81 (.73, .89), bystander-witnessed arrest 4.05 (2.78, 5.90), bystander CPR 2.98 (2.07, 4.29), CPR by fire or police 2.20 (1.46, 3.31), and Response Interval call received to vehicle stopped .76 (.71, .82). Conclusion: This represents the largest multicenter BLS-D study of prehospital cardiac arrest yet conducted and clearly indicates that patient survival may be improved by optimization of EMS Response Intervals, bystander CPR, as well as first-responder CPR by fire or police. [Stiell IG, Wells GA, DeMaio VJ, Spaite DW, Field BJ, Munkley DP, Lyver MB, Luinstra LG, Ward R, for the OPALS Study Group: Modifiable factors associated with improved cardiac arrest survival in a multicenter basic life support/defibrillation system: OPALS Study phase I results. Ann Emerg Med January 1999;33:44-50.]
Valerie J De Maio - One of the best experts on this subject based on the ideXlab platform.
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optimal defibrillation Response Intervals for maximum out of hospital cardiac arrest survival rates
Annals of Emergency Medicine, 2003Co-Authors: Ian G Stiell, Valerie J De Maio, George A Wells, Daniel W SpaiteAbstract:Abstract Study objective: Many centers optimize their emergency medical services (EMS) systems to achieve a target defibrillation Response Interval of "call received by dispatch" to "arrival at scene by responder with defibrillator" in 8 minutes or less for at least 90% of cardiac arrest cases. The objective of this study was to analyze survival as a function of time to test the evidence for this standard. Methods: This prospective cohort study included all adult, cardiac etiology, out-of-hospital cardiac arrest cases from phases I and II of the Ontario Prehospital Advanced Life Support (OPALS) study. Patients in the 21 Ontario study communities received a basic life support level of care with defibrillation by ambulance and firefighters but no advanced life support. Survival was plotted as a function of the defibrillation Response Interval. The equation of the curve, generated by means of logistic regression, was used to estimate survival at various defibrillation Response Interval cutoff points. Results: From January 1, 1991, to December 31, 1997, there were 392 (4.2%) survivors overall among the 9,273 patients treated. The defibrillation Response Interval mean was 6.2 minutes, and the 90th percentile was 9.3 minutes. There was a steep decrease in the first 5 minutes of the survival curve, beyond which the slope gradually leveled off. Controlling for known covariates, the decrement in the odds of survival with increasing Response Interval was 0.77 per minute (95% confidence Interval 0.74 to 0.83). The survival function predicts, for successive 90th percentile cutoff points, both survival rates and additional lives saved per year in the OPALS communities compared with the 8-minute standard: 9 minutes (4.6%; −18 lives), 8 minutes (5.9%; 0 lives), 7 minutes (7.5%; 23 lives), 6 minutes (9.5%; 51 lives), and 5 minutes (12.0%; 86 lives). Conclusion: The 8-minute target established in many communities is not supported by our data as the optimal EMS defibrillation Response Interval for cardiac arrest. EMS system leaders should consider the effect of decreasing the 90th percentile defibrillation Response Interval to less than 8 minutes. [ Ann Emerg Med. 2003;42:242-250.]
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improved out of hospital cardiac arrest survival through the inexpensive optimization of an existing defibrillation program opals study phase ii
JAMA, 1999Co-Authors: Ian G Stiell, Daniel W Spaite, Brian J Field, Douglas P Munkley, Marion B Lyver, Lorraine G Luinstra, Roxanne Ward, Valerie J De Maio, George A Wells, Tony CampeauAbstract:ContextSurvival rates for out-of-hospital cardiac arrest are low; published survival rates in Ontario are only 2.5%. This study represents phase II of the Ontario Prehospital Advanced Life Support (OPALS) study, which is designed to systematically evaluate the effectiveness and efficiency of various prehospital interventions for patients with cardiac arrest, trauma, and critical illnesses.ObjectiveTo assess the impact on out-of-hospital cardiac arrest survival of the implementation of a rapid defibrillation program in a large multicenter emergency medical services (EMS) system with existing basic life support and defibrillation (BLS-D) level of care.DesignControlled clinical trial comparing survival for 36 months before (phase I) and 12 months after (phase II) system optimization.SettingNineteen urban and suburban Ontario communities (populations ranging from 16,000 to 750,000 [total, 2.7 million]).PatientsAll patients who had out-of-hospital cardiac arrest in the study communities for whom resuscitation was attempted by emergency responders.InterventionsStudy communities optimized their EMS systems to achieve the target Response Interval from when a call was received until a vehicle stopped with a defibrillator of 8 minutes or less for 90% of cardiac arrest cases. Working both locally and provincially, communities implemented multiple measures, including defibrillation by firefighters, base paging, tiered Response agreements with fire departments, continuous quality improvement for Response Intervals, and province-wide revision and implementation of standard dispatch policies. All Response times were obtained from a central dispatch system.Main Outcome MeasureSurvival to hospital discharge.ResultsThe 4690 cardiac arrest patients studied in phase I and the 1641 in phase II were similar for all clinical and demographic characteristics, including age, sex, witnessed status, rhythm, and receipt of bystander cardiopulmonary resuscitation. The proportion of cases meeting the 8-minute Response criterion improved (76.7% vs 92.5%; P<.001) as did most median Response Intervals. Overall survival to hospital discharge for all rhythm groups combined improved from 3.9% to 5.2% (P=.03). The 33% relative increase in survival represents an additional 21 lives saved each year in the study communities (approximately 1 life per 120,000 residents). The charges were estimated to be US $46,900 per life saved for establishing the rapid defibrillation program and US $2400 per life saved annually for maintaining the program.ConclusionAn inexpensive, multifaceted system optimization approach to rapid defibrillation can lead to significant improvements in survival after cardiac arrest in a large BLS-D EMS system.
Pengjin Xie - One of the best experts on this subject based on the ideXlab platform.
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genewave fast authentication and key agreement on commodity mobile devices
IEEE ACM Transactions on Networking, 2018Co-Authors: Pengjin Xie, Jingchao Feng, Zhichao Cao, Jiliang WangAbstract:Device-to-device communication is widely used for mobile devices and Internet of Things. Authentication and key agreement are critical to build a secure channel between two devices. However, existing approaches often rely on a pre-built fingerprint database and suffer from low key generation rate. We present GeneWave, a fast device authentication and key agreement protocol for commodity mobile devices. GeneWave first achieves bidirectional initial authentication based on the physical Response Interval between two devices. To keep the accuracy of Interval estimation, we eliminate time uncertainty on commodity devices through fast signal detection and redundancy time cancellation. Then, we derive the initial acoustic channel Response for device authentication. We design a novel coding scheme for efficient key agreement while ensuring security. Therefore, two devices can authenticate each other and securely agree on a symmetric key. GeneWave requires neither special hardware nor pre-built fingerprint database, and thus it is easy-to-use on commercial mobile devices. We implement GeneWave on mobile devices (i.e., Nexus 5X and Nexus 6P) and evaluate its performance through extensive experiments. Experimental results show that GeneWave efficiently accomplish secure key agreement on commodity smartphones with a key generation rate 10 $\times$ faster than the state-of-the-art approach.
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genewave fast authentication and key agreement on commodity mobile devices
International Conference on Network Protocols, 2017Co-Authors: Pengjin Xie, Jingchao Feng, Zhichao Cao, Jiliang WangAbstract:Device-to-device (D2D) communication is widely used for mobile devices and Internet of Things (IoT). Authentication and key agreement are critical to build a secure channel between two devices. However, existing approaches often rely on a pre-built fingerprint database and suffer from low key generation rate. We present GeneWave, a fast device authentication and key agreement protocol for commodity mobile devices. GeneWave first achieves bidirectional initial authentication based on the physical Response Interval between two devices. To keep the accuracy of Interval estimation, we eliminate time uncertainty on commodity devices through fast signal detection and redundancy time cancellation. Then we derive the initial acoustic channel Response (ACR) for device authentication. We design a novel coding scheme for efficient key agreement while ensuring security. Therefore, two devices can authenticate each other and securely agree on a symmetric key. GeneWave requires neither special hardware nor pre-built fingerprint database, and thus it is easy-to-use on commercial mobile devices. We implement GeneWave on mobile devices (i.e., Nexus 5X and Nexus 6P) and evaluate its performance through extensive experiments. Experimental results show that GeneWave efficiently accomplish secure key agreement on commodity smartphones with a key generation rate 10x faster than the state-of-the-art approach.