Why Is Usable Security Hard, and What Should We Do about It? Felt APorter. 2016. Why Is Usable Security Hard, and What Should We Do about It? Read more about Why Is Usable Security Hard, and What Should We Do about It?DBLPLog in to post commentsGoogle ScholarBibTeX
Modern Automotive Vulnerabilities: Causes, Disclosures, and Outcomes Savage S. 2016. Modern Automotive Vulnerabilities: Causes, Disclosures, and Outcomes. Read more about Modern Automotive Vulnerabilities: Causes, Disclosures, and OutcomesDBLPLog in to post commentsGoogle ScholarBibTeX
Computer Security and the Internet of Things Kohno T. 2016. Computer Security and the Internet of Things. Read more about Computer Security and the Internet of ThingsDBLPLog in to post commentsGoogle ScholarBibTeX
Server-side Second Factors: A Statistical Approach to Measuring User Authenticity Freeman D. 2016. Server-side Second Factors: A Statistical Approach to Measuring User Authenticity. Read more about Server-side Second Factors: A Statistical Approach to Measuring User AuthenticityDBLPLog in to post commentsGoogle ScholarBibTeX
Building a {DDoS} Mitigation Pipeline Majkowski M. 2016. Building a {DDoS} Mitigation Pipeline. Read more about Building a {DDoS} Mitigation PipelineDBLPLog in to post commentsGoogle ScholarBibTeX
{PKI} at Scale Using {Short-lived} Certificates Payne B. 2016. {PKI} at Scale Using {Short-lived} Certificates. Read more about {PKI} at Scale Using {Short-lived} CertificatesDBLPLog in to post commentsGoogle ScholarBibTeX
Lessons Learned While Protecting Gmail Bursztein E. 2016. Lessons Learned While Protecting Gmail. Read more about Lessons Learned While Protecting GmailDBLPLog in to post commentsGoogle ScholarBibTeX
Data Integrity Based Attacks in Investigative Domains: How Companies Are Exploiting Data Science to Thwart Investigative Outcomes Rozier EWD. 2016. Data Integrity Based Attacks in Investigative Domains: How Companies Are Exploiting Data Science to Thwart Investigative Outcomes. Read more about Data Integrity Based Attacks in Investigative Domains: How Companies Are Exploiting Data Science to Thwart Investigative OutcomesDBLPLog in to post commentsGoogle ScholarBibTeX
Drops for Stuff: An Analysis of Reshipping Mule Scams Vigna G. 2016. Drops for Stuff: An Analysis of Reshipping Mule Scams. Read more about Drops for Stuff: An Analysis of Reshipping Mule ScamsDBLPLog in to post commentsGoogle ScholarBibTeX
{Bullet-Proof} Credit Card Processing McCoy D. 2016. {Bullet-Proof} Credit Card Processing. Read more about {Bullet-Proof} Credit Card ProcessingDBLPLog in to post commentsGoogle ScholarBibTeX
