Aubrey ...

Mode of access: Internet.

Almanach, 1909.

Hermann Schlittgen, Erinnerung an Wilhelm Leibl.--Eine autobiographische note Adolf Menzels.--Max Liebermann, Zwei Holzschnitte von Manet.--Alfred Sisley; über landschaftsmalerei.--Jozef Israels, Rembrandt.--E.G. Craig, Über Bühnenausstatung.--Max Liebermann: Erinnerungen an Karl Steffeck.--Maurice Denis: Aristide Maillol.--Aubrey Beardsley über Turner.--Anselm Feuerbach: Drei Briefe.--MacNeill Whistler: Der rote Lappen.--MacNeill Whistler: Wann ein Kunstwerk vollendet ist.--Francisco de Goya: Drei Briefe.--Christian Morgenstern: C.H. Andersens Silhouetten; des Märchendichters scheer.--Franz Krüger, Briefe an Karl Steffeck.--Karl Hagemeister: Karl Schuch.--Émile Zola: Édouard Manet.--F.G. Waldmüller, Aus seinen hinterlassenen Schriften.--Hans von Marés: Briefe.

The poetical works of Aubrey De Vere.

Each volume has separate t.-p. also.

Beardsley Park : landscape architects' preliminary report, September, 1884 /

Mode of access: Internet.

Aubrey de Vere; a memoir, based on his unpublished diaries and correspondence

Mode of access: Internet.

Daughter of Eve, "Femme Fatale", and Persecuted Artist: The Mythic Transgressive Woman in Oscar Wilde's and Richard Strauss's "Salome"

Historically, Salome was an unexceptional figure who never catalyzed John the Baptist's death. However, in Christian Scripture, she becomes the dancing seductress as fallen daughter of Eve.  Her stepfather Herod promises Salome his kingdom if she dances for him, but she follows her mother’s wish to have John beheaded. In Strauss’s opera, after Wilde's Symbolist-Decadent play, Salome becomes independent of Herodias’ will, and the mythic avatar of the femme fatale and persecuted artist who Herod has killed after she kisses John's severed head.  Her signature key of C# major, resolving to the C major sung by Herod and Jokanaan at her death, represent her tragic fate musically.

Seeing the Wood for the Trees: A Critical Evaluation of Methods to Estimate the Parameters of Stochastic Differential Equations

Maximum-likelihood estimates of the parameters of stochastic differential equations are consistent and asymptotically efficient, but unfortunately difficult to obtain if a closed-form expression for the transitional probability density function of the process is not available. As a result, a large number of competing estimation procedures have been proposed. This article provides a critical evaluation of the various estimation techniques. Special attention is given to the ease of implementation and comparative performance of the procedures when estimating the parameters of the Cox–Ingersoll–Ross and Ornstein–Uhlenbeck equations respectively.

Conversation, community and kids: blogging for youth at Gold Coast City Council libraries

In late 2007, Gold Coast City Council libraries embarked on an online library project, designed to ramp up libraries’ online services to customers. As part of this project, the Young People’s team identified a need to connect with youth aged 12 to 16 in the online environment, in order to create a direct channel of communication with this market segment and encourage them to engage with the library. Blogging was identified as an appropriate means of communicating with both current and potential library customers from this age group. The Young People’s team consequently prepared a concept plan for a youth blog for launch in Children’s Book Week 2008 and are working towards development of management and administrative models and documentation and implementation of the blog itself. While many libraries have been quick to take up Web 2.0-style services, there has been little formal publication about the successes (or failures) of this type of project. Likewise, few libraries have published about the planning, management, and administration of such services. The youth blog currently in development at Gold Coast City Council libraries will be supported by a robust planning phase and will be rigorously evaluated as part of the project. This paper will report on the project (its aims, objectives and outputs), the planning process, and the evaluation activities and outcomes.

Monitoring smartphones for anomaly detection

In this paper we demonstrate how to monitor a smartphone running Symbian operating system and Windows Mobile in order to extract features for anomaly detection. These features are sent to a remote server because running a complex intrusion detection system on this kind of mobile device still is not feasible due to capability and hardware limitations. We give examples on how to compute relevant features and introduce the top ten applications used by mobile phone users based on a study in 2005. The usage of these applications is recorded by a monitoring client and visualized. Additionally, monitoring results of public and self-written malwares are shown. For improving monitoring client performance, Principal Component Analysis was applied which lead to a decrease of about 80 of the amount of monitored features.

Enhancing security of linux-based android devices

Our daily lives become more and more dependent upon smartphones due to their increased capabilities. Smartphones are used in various ways from payment systems to assisting the lives of elderly or disabled people. Security threats for these devices become increasingly dangerous since there is still a lack of proper security tools for protection. Android emerges as an open smartphone platform which allows modification even on operating system level. Therefore, third-party developers have the opportunity to develop kernel-based low-level security tools which is not normal for smartphone platforms. Android quickly gained its popularity among smartphone developers and even beyond since it bases on Java on top of "open" Linux in comparison to former proprietary platforms which have very restrictive SDKs and corresponding APIs. Symbian OS for example, holding the greatest market share among all smartphone OSs, was closing critical APIs to common developers and introduced application certification. This was done since this OS was the main target for smartphone malwares in the past. In fact, more than 290 malwares designed for Symbian OS appeared from July 2004 to July 2008. Android, in turn, promises to be completely open source. Together with the Linux-based smartphone OS OpenMoko, open smartphone platforms may attract malware writers for creating malicious applications endangering the critical smartphone applications and owners� privacy. In this work, we present our current results in analyzing the security of Android smartphones with a focus on its Linux side. Our results are not limited to Android, they are also applicable to Linux-based smartphones such as OpenMoko Neo FreeRunner. Our contribution in this work is three-fold. First, we analyze android framework and the Linux-kernel to check security functionalities. We survey wellaccepted security mechanisms and tools which can increase device security. We provide descriptions on how to adopt these security tools on Android kernel, and provide their overhead analysis in terms of resource usage. As open smartphones are released and may increase their market share similar to Symbian, they may attract attention of malware writers. Therefore, our second contribution focuses on malware detection techniques at the kernel level. We test applicability of existing signature and intrusion detection methods in Android environment. We focus on monitoring events on the kernel; that is, identifying critical kernel, log file, file system and network activity events, and devising efficient mechanisms to monitor them in a resource limited environment. Our third contribution involves initial results of our malware detection mechanism basing on static function call analysis. We identified approximately 105 Executable and Linking Format (ELF) executables installed to the Linux side of Android. We perform a statistical analysis on the function calls used by these applications. The results of the analysis can be compared to newly installed applications for detecting significant differences. Additionally, certain function calls indicate malicious activity. Therefore, we present a simple decision tree for deciding the suspiciousness of the corresponding application. Our results present a first step towards detecting malicious applications on Android-based devices.

Behavioral biometrics for persistent single sign-on

Driven by the rapid development of ubiquitous and pervasive computing, personalized services and applications are deployed to support our lives. Accordingly, the number of interfaces and devices (smartphone, tablet computer, etc.) provided to access and consume these services is growing continuously. To simplify the complexity of managing many accounts with different credentials, Single Sign-On (SSO) solutions have been introduced. However, a single password for many accounts represents a single-point-of-failure. Furthermore, once initiated SSO session is a high potential risk when the working station is left unlocked and unattended. In this paper, we present a conception of a Persistent Single Sign-On (PSSO) for ubiquitous home environments by involving the capabilities of Behavioral Biometrics to check the identity of the user continuously in an unobtrusive manner.

Using static analysis for automatic assessment and mitigation of unwanted and malicious activities within Android applications

In the last decade, smartphones have gained widespread usage. Since the advent of online application stores, hundreds of thousands of applications have become instantly available to millions of smart-phone users. Within the Android ecosystem, application security is governed by digital signatures and a list of coarse-grained permissions. However, this mechanism is not fine-grained enough to provide the user with a sufficient means of control of the applications' activities. Abuse of highly sensible private information such as phone numbers without users' notice is the result. We show that there is a high frequency of privacy leaks even among widely popular applications. Together with the fact that the majority of the users are not proficient in computer security, this presents a challenge to the engineers developing security solutions for the platform. Our contribution is twofold: first, we propose a service which is able to assess Android Market applications via static analysis and provide detailed, but readable reports to the user. Second, we describe a means to mitigate security and privacy threats by automated reverse-engineering and refactoring binary application packages according to the users' security preferences.