Data protection and statistics – a dynamic and tension-filled relationship

New statistical methods have been developed for the longer-term storage of microdata. These methods must comply, however, with the fundamental right to informational self-determination and the legal regulations imposed by the Federal Constitutional Court. Thus it is crucial to develop effective and coherent methods for protecting personal data collected for statistical purposes. Recent decisions by the Federal Constitutional Court are likely to result in the outlawing of comprehensive, permanent statistical compilations comprised of microdata from a wide range of sources and updated regularly. However, aside from such comprehensive methods, there are certainly other ways of using microdata that cannot be dismissed from the outset as violating constitutional legal norms. Internet access to statistical microdata is likely to take on increased importance for scientific research in the near future. Yet this would radically change the entire landscape of data protection: the vast amount of additional information now available on the Internet makes it almost impossible to judge whether individuals can be rendered identifiable. In view of this almost unlimited information, individual data can only be offered over the Internet if the absolute anonymity of the data can be guaranteed.Right to informational self-determination, census ruling of December 15, 1983, longer-term storage of microdata, primary statistics, secondary statistics, statistical confidentiality, absolute anonymisation, de facto anonymisation, additional information, pseudonymisation, personal data profiles.

Antitrust and Intellectual Property: Unresolved Issues at the Heart of the New Economy

The New Economy differs in degree rather than kind from the old economy. Part II of this discussion examines the key differences that define the New Economy. Part Ill turns to several implications of those differences as they pertain to antitrust enforcement. I argue that the differences do not justify sweeping generalizations that antitrust enforcement has no place in the New Economy, but do require antitrust enforcement to make adjustments and exercise sensitivity towards intellectual property issues on a case-by-case basis. The goal of a coherent overall competition policy, in deciding both what conduct to enforce against and what remedies to require, should be to achieve an appropriate balance between the complementary legal regimes of intellectual property and antitrust. Part IV examines several examples of recent antitrust enforcement decisions involving intellectual property. Without addressing the ultimate merits of individual decisions, I find that antitrust enforcement has generally evolved in recent years in a way that pays heed to the distinctive characteristics of the New Economy. These decisions demonstrate a concerted attempt to give reasonable, fact-specific consideration to both incentives and opportunities to innovate. Finally, to supplement the preceding review of substantive issues, Part V examines the institutional challenges posed to antitrust enforcement by the New Economy

EffectiveSan: Type and Memory Error Detection using Dynamically Typed C/C++

Low-level programming languages with weak/static type systems, such as C and C++, are vulnerable to errors relating to the misuse of memory at runtime, such as (sub-)object bounds overflows, (re)use-after-free, and type confusion. Such errors account for many security and other undefined behavior bugs for programs written in these languages. In this paper, we introduce the notion of dynamically typed C/C++, which aims to detect such errors by dynamically checking the "effective type" of each object before use at runtime. We also present an implementation of dynamically typed C/C++ in the form of the Effective Type Sanitizer (EffectiveSan). EffectiveSan enforces type and memory safety using a combination of low-fat pointers, type meta data and type/bounds check instrumentation. We evaluate EffectiveSan against the SPEC2006 benchmark suite and the Firefox web browser, and detect several new type and memory errors. We also show that EffectiveSan achieves high compatibility and reasonable overheads for the given error coverage. Finally, we highlight that EffectiveSan is one of only a few tools that can detect sub-object bounds errors, and uses a novel approach (dynamic type checking) to do so.Comment: To appear in the Proceedings of 39th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI2018

P-class phasor measurement unit algorithms using adaptive filtering to enhance accuracy at off-nominal frequencies

While the present standard C.37.118-2005 for Phasor Measurement Units (PMUs) requires testing only at steady-state conditions, proposed new versions of the standard require much more stringent testing, involving frequency ramps and off-nominal frequency testing. This paper presents two new algorithms for “P Class” PMUs which enable performance at off-nominal frequencies to be retained at levels comparable to the performance for nominal frequency input. The performances of the algorithms are compared to the “Basic” Synchrophasor Estimation Model described in the new standard. The proposed algorithms show a much better performance than the “Basic” algorithm, particularly in the measurements of frequency and rate-of-change-of-frequency at off-nominal frequencies and in the presence of unbalance and harmonics

Implementing a Copyright Management System

While Copyright Management Information (CMI) is not a new concept, it has not been a universally applied one. This article aims to review the different ways CMI's can be represented as well as the possibility of implementing them via Oracle technologies. Such an approach is justified in the absence of any wide scale, industry accepted, standard for implementation.Copyright Management Information, metadata, document identifiers, watermarking