27,503 research outputs found
The Rise of Certificate Transparency and Its Implications on the Internet Ecosystem
In this paper, we analyze the evolution of Certificate Transparency (CT) over
time and explore the implications of exposing certificate DNS names from the
perspective of security and privacy. We find that certificates in CT logs have
seen exponential growth. Website support for CT has also constantly increased,
with now 33% of established connections supporting CT. With the increasing
deployment of CT, there are also concerns of information leakage due to all
certificates being visible in CT logs. To understand this threat, we introduce
a CT honeypot and show that data from CT logs is being used to identify targets
for scanning campaigns only minutes after certificate issuance. We present and
evaluate a methodology to learn and validate new subdomains from the vast
number of domains extracted from CT logged certificates.Comment: To be published at ACM IMC 201
PKI Safety Net (PKISN): Addressing the Too-Big-to-Be-Revoked Problem of the TLS Ecosystem
In a public-key infrastructure (PKI), clients must have an efficient and
secure way to determine whether a certificate was revoked (by an entity
considered as legitimate to do so), while preserving user privacy. A few
certification authorities (CAs) are currently responsible for the issuance of
the large majority of TLS certificates. These certificates are considered valid
only if the certificate of the issuing CA is also valid. The certificates of
these important CAs are effectively too big to be revoked, as revoking them
would result in massive collateral damage. To solve this problem, we redesign
the current revocation system with a novel approach that we call PKI Safety Net
(PKISN), which uses publicly accessible logs to store certificates (in the
spirit of Certificate Transparency) and revocations. The proposed system
extends existing mechanisms, which enables simple deployment. Moreover, we
present a complete implementation and evaluation of our scheme.Comment: IEEE EuroS&P 201
Towards Economic Models for MOOC Pricing Strategy Design
MOOCs have brought unprecedented opportunities of making high-quality courses
accessible to everybody. However, from the business point of view, MOOCs are
often challenged for lacking of sustainable business models, and academic
research for marketing strategies of MOOCs is also a blind spot currently. In
this work, we try to formulate the business models and pricing strategies in a
structured and scientific way. Based on both theoretical research and real
marketing data analysis from a MOOC platform, we present the insights of the
pricing strategies for existing MOOC markets. We focus on the pricing
strategies for verified certificates in the B2C markets, and also give ideas of
modeling the course sub-licensing services in B2B markets
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