Eine Vielzahl von Versuchen existiert, das Browser-basierte Internetbanking vor der Gefahr des Identitätsdiebstahls zu schützen. Präferiert werden dabei so genannte ,,Zero-Footprint”-Verfahren, welche außer einem Standard-Webbrowser keine weitere Software auf dem PC des Kunden benötigen. Daneben ist SSL mit Authentifizierung des Servers die unverzichtbare Grundlage aller dieser Verfahren. Dies ...

Entanglement in marine debris is a contributing factor in Steller sea lion (SSL; Eumetopias jubatus) injury and mortality. We quantified SSL entanglement by debris type, sex and age class, entanglement incidence, and estimated population level effects. Surveys of SSL haul-outs were conducted from 2000-2007 in Southeast Alaska and northern British Columbia. We recorded 386 individuals of all age...

Most semi-supervised learning (SSL) models entail complex structures and iterative training processes as well face difficulties in interpreting their predictions to users. To address these issues, this paper proposes a new interpretable SSL model using the supervised unsupervised Adaptive Resonance Theory (ART) family of networks, which is denoted SSL-ART. Firstly, SSL-ART adopts an fuzzy ART n...

The RoboCup Small Size League (SSL) is a robot soccer game with robots that play on a customized field with overhead cameras. The majority of the research effort to date has been on the performance of the autonomous teams in aspects of motion planning and team strategy. However, another critical component of a robot game is the referee. In current SSL games, refereeing is done by humans, who us...

Security Socket Layer (SSL) / Transport (TLS) protocols are utilized to secure network communication (e.g., transmitting user data). Failing properly implement SSL/TLS configuration during the app development results in security risks. The weak implementations include trusting all host names, certificates, ignoring certificate verification errors, even lack of SSL public key pinning usage. Thes...

Self-Supervised Learning (SSL) is a reliable learning mechanism in which a robot uses an original, trusted sensor cue for training to recognize an additional, complementary sensor cue. We study for the first time in SSL how a robot’s learning behavior should be organized, so that the robot can keep performing its task in the case that the original cue becomes unavailable. We study this persiste...

With the rapid growth of the Internet, more and more people interact with their friends in online social networks like Facebook. Currently, the privacy issue of online social networks becomes a hot and dynamic research topic. Though some privacy protecting strategies are implemented, they are not stringent enough. Recently, Semi-Supervised Learning (SSL), which has the advantage of utilizing th...

Electronic commerce servers have a significant presence in today’s Internet. Corporations require good performance for their business processes. To date, little empirical evidence has been discovered which identifies the types requests that users make of E-commerce systems. In this paper, we examine the request level characteristics of the web site of a multinational car-rental company based on...

Most SSL/TLS-based electronic commerce (e-commerce) applications (including Internet banking) are vulnerable to man in the middle attacks. Such attacks arise since users are often unable to authenticate a server effectively, and because user authentication methods are typically decoupled from SSL/TLS session establishment. Cryptographically binding the two authentication procedures together, a ...

In multiclass semi-supervised learning (SSL), it is sometimes the case that the number of classes present in the data is not known, and hence no labeled examples are provided for some classes. In this paper we present variants of well-known semi-supervised multiclass learning methods that are robust when the data contains an unknown number of classes. In particular, we present an “exploratory” ...