Активные фильтры аналогового тракта построителя сейсмических разрезов

Secure, anonymous and unobservable communication is becoming increasingly important due to the gradual erosion of privacy in many aspects of everyday life. This prompts the need for various anonymity- and privacy-enhancing techniques, e.g., group signatures, anonymous e-cash and secret handshakes. In this paper, we investigate an interesting and practical cryptographic construct Oblivious Signature-Based Envelopes (OS-BEs) recently introduced in [15]. OSBEs are very useful in anonymous communication since they allow a sender to communicate information to a receiver such that the receiver s rights (or roles) are unknown to the sender. At the same time, a receiver can obtain the information only if it is authorized to access it. This makes OSBEs a natural fit for anonymity-oriented and privacy-preserving applications, such as Automated Trust Negotiation and Oblivious Subscriptions. Previous results yielded three OSBE constructs: one based on RSA and two based on Identity-Based Encryption (IBE). Our work focuses on the ElGamal signature family: we succeed in constructing practical and secure OSBE schemes for several well-known signature schemes, including: Schnorr, Nyberg-Rueppel, ElGamal and DSA. As experiments with the prototype implementation il-lustrate, our schemes are more efficient than previous techniques. Furthermore, we show that some OSBE schemes, despite offering affiliation privacy for the receiver, introduce no additional cost over schemes that do not offer this feature

Secure Data Aggregation in Wireless Sensor Networks. Homomorphism versus Watermarking Approach

International audienceWireless sensor networks are now in widespread use to monitor regions, detect events and acquire information. Since the deployed nodes are separated, they need to cooperatively communicate sensed data to the base station. Hence, transmissions are a very energy consuming operation. To reduce the amount of sending data, an aggregation approach can be applied along the path from sensors to the sink. However, usually the carried information contains confidential data. Therefore, an end-to-end secure aggregation approach is required to ensure a healthy data reception. End-to-end encryption schemes that support operations over cypher-text have been proved important for private party sensor network implementations. These schemes offer two main advantages: end-to-end concealment of data and ability to operate on cipher text, then no more decryption is required for aggregation. Unfortunately, nowadays these methods are very complex and not suitable for sensor nodes having limited resources. In this paper, we propose a secure end-to-end encrypted-data aggregation scheme. It is based on elliptic curve cryptography that exploits a smaller key size. Additionally, it allows the use of higher number of operations on cypher-texts and prevents the distinction between two identical texts from their cryptograms. These properties permit to our approach to achieve higher security levels than existing cryptosystems in sensor networks. Our experiments show that our proposed secure aggregation method significantly reduces computation and communication overhead and can be practically implemented in on-the-shelf sensor platforms. By using homomorphic encryption on elliptic curves, we thus have realized an efficient and secure data aggregation in sensor networks. Lastly, to enlarge the aggregation functions that can be used in a secure wireless sensor network, a watermarking-based authentication scheme is finally proposed

Quantifying Web Adblocker Privacy

Web advertisements, an integral part of today\u27s web browsing experience, financially support countless websites. Meaningful advertisements, however, require behavioral targeting, user tracking and profile fingerprinting that raise serious privacy concerns. To counter privacy issues and enhance usability, adblockers emerged as a popular way to filter web requests that do not serve the website\u27s main content. Despite their popularity, little work has focused on quantifying the privacy provisions of adblockers. In this paper, we develop a quantitative approach to objectively compare the privacy of adblockers. We propose a model based on a set of privacy metrics that captures not only the technical web architecture, but also the underlying corporate institutions of the problem across time and geography. We investigate experimentally the effect of various combinations of ad-blocking software and browser settings on 1000 Web sites. Our results highlight a significant difference among adblockers in terms of filtering performance, in particular affected by the applied configurations. Besides the ability to judge the filtering capabilities of existing adblockers and their particular configurations, our work provides a general framework to evaluate new adblocker proposals

Low protein diets in patients with chronic kidney disease: a bridge between mainstream and complementary-alternative medicines?

Dietary therapy represents an important tool in the management of chronic kidney disease (CKD), mainly through a balanced reduction of protein intake aimed at giving the remnant nephrons in damaged kidneys a "functional rest". While dialysis, transplantation, and pharmacological therapies are usually seen as "high tech" medicine, non pharmacological interventions, including diets, are frequently considered lifestyle-complementary treatments. Diet is one of the oldest CKD treatments, and it is usually considered a part of "mainstream" management. In this narrative review we discuss how the lessons of complementary alternative medicines (CAMs) can be useful for the implementation and study of low-protein diets in CKD. While high tech medicine is mainly prescriptive, prescribing a "good" life-style change is usually not enough and comprehensive counselling is required; the empathic educational approach, on which CAMs are mainly, though not exclusively based, may support a successful personalized nutritional intervention.There is no gold-standard, low-protein diet for all CKD patients: from among a relatively vast choice, the best compliance is probably obtained by personalization. This approach interferes with the traditional RCT-based analyses which are grounded upon an assumption of equal preference of treatments (ideally blinded). Whole system approaches and narrative medicine, that are widely used in the study of CAMs, may offer ways to integrate EBM and personalised medicine in the search for innovative solutions respecting individualization, but gaining sound data, such as with partially-randomised patient preference trials

Affiliation-Hiding Authentication with Minimal Bandwidth Consumption

Part 3: Lightweight AuthenticationInternational audienceAffiliation-Hiding Authentication (AHA) protocols have the seemingly contradictory property of enabling users to authenticate each other as members of certain groups, without revealing their affiliation to group outsiders. Of particular interest in practice is the group-discovering variant, which handles multiple group memberships per user. Corresponding solutions were only recently introduced, and have two major drawbacks: high bandwidth consumption (typically several kilobits per user and affiliation), and only moderate performance in scenarios of practical application.While prior protocols have O(n2) time complexity, where n denotes the number of affiliations per user, we introduce a new AHA protocol running in O(nlogn) time. In addition, the bandwidth consumed is considerably reduced. We consider these advances a major step towards deployment of privacy-preserving methods in constraint devices, like mobile phones, to which the economization of these resources is priceless

Service-oriented product lines: a systematic mapping study

Software product line engineering and service-oriented architectures both enable organizations to capitalize on reuse of existing software assets and capabilities and improve competitive advantage in terms of development savings, product flexibility, time-to-market. Both approaches accommodate variation of assets, including services, by changing the software being reused or composing services according a new orchestration. Therefore, variability management in Service-oriented Product Lines (SoPL) is one of the main challenges today. In order to highlight the emerging evidence-based results from the research community, we apply the well-defined method of systematic mapping in order to populate a classification scheme for the SoPL field of interest. The analysis of results throws light on the current open issues. Moreover, different facets of the scheme can be combined to answer more specific research questions. The report reveals the need for more empirical research able to provide new metrics measuring efficiency and efficacy of the proposed models, new methods and tools supporting variability management in SoPL, especially during maintenance and verification and validation. The mapping study about SoPL opens further investigations by means of a complete systematic review to select and validate the most efficient solutions to variability management in SoPL.</jats:p

Driving Flexibility and Consistency of Business Processes by Means of Product-Line Engineering and Decision Tables

Today's organizations are increasingly pushed to be distributed by space, time and capabilities and are involved to leverage synergies by integrating their business processes in order to produce new value-added products and services. Here the importance of integrating whole processes rather than simply integrate databases or software applications. Seeing the duality between products and processes, we propose to exploit flexibility provided by the product-line engineering approach for modeling business processes as a Business Process Line (BPL) in order to capture process variability, promote reuse and integration and provide the capacity to anticipate process changes. To support process evolution and consistency, we suggest the use of decision tables to elicit, track and manage all the emerging decision points during business process modeling, with the purpose of maintaining the relationships among business needs, environmental changes and process tasks. In a real case study we practiced the proposed methodology by leveraging the synergy of feature models, variability mechanisms and decision tables. The results prove that the BPL satisfies the requirements for business process flexibility