11 research outputs found

    N-variant Hardware Design

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    The emergence of lightweight embedded devices imposes stringent constraints on the area and power of the circuits used to construct them. Meanwhile, many of these embedded devices are used in applications that require diversity and flexibility to make them secure and adaptable to the fluctuating workload or variable fabric. While field programmable gate arrays (FPGAs) provide high flexibility, the use of application specific integrated circuits (ASICs) to implement such devices is more appealing because ASICs can currently provide an order of magnitude less area and better performance in terms of power and speed. My proposed research introduces the N-variant hardware design methodology that adds the sufficient flexibility needed by such devices while preserving the performance and area advantages of using ASICs. The N-variant hardware design embeds different variants of the design control part on the same IC to provide diversity and flexibility. Because the control circuitry usually represents a small fraction of the whole circuit, using multiple versions of the control circuitry is expected to have a low overhead. The objective of my thesis is to formulate a method that provides the following advantages: (i) ease of integration in the current ASIC design flow, (ii) minimal impact on the performance and area of the ASIC design, and (iii) providing a wide range of applications for hardware security and tuning the performance of chips either statically (e.g., post-silicon optimization) or dynamically (at runtime). This is achieved by adding diversity at two orthogonal levels: (i) state space diversity, and (ii) scheduling diversity. State space diversity expands the state space of the controller. Using state space diversity, we introduce an authentication mechanism and the first active hardware metering schemes. On the other hand, scheduling diversity is achieved by embedding different control schedules in the same design. The scheduling diversity can be spatial, temporal, or a hybrid of both methods. Spatial diversity is achieved by implementing multiple control schedules that use various parts of the chip at different rates. Temporal diversity provides variants of the controller that can operate at unequal speeds. A hybrid of both spatial and temporal diversities can also be implemented. Scheduling diversity is used to add the flexibility to tune the performance of the chip. An application of the thermal management of the chip is demonstrated using scheduling diversity. Experimental results show that the proposed method is easy to integrate in the current ASIC flow, has a wide range of applications, and incurs low overhead

    Multi-Tenant Cloud FPGA: A Survey on Security

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    With the exponentially increasing demand for performance and scalability in cloud applications and systems, data center architectures evolved to integrate heterogeneous computing fabrics that leverage CPUs, GPUs, and FPGAs. FPGAs differ from traditional processing platforms such as CPUs and GPUs in that they are reconfigurable at run-time, providing increased and customized performance, flexibility, and acceleration. FPGAs can perform large-scale search optimization, acceleration, and signal processing tasks compared with power, latency, and processing speed. Many public cloud provider giants, including Amazon, Huawei, Microsoft, Alibaba, etc., have already started integrating FPGA-based cloud acceleration services. While FPGAs in cloud applications enable customized acceleration with low power consumption, it also incurs new security challenges that still need to be reviewed. Allowing cloud users to reconfigure the hardware design after deployment could open the backdoors for malicious attackers, potentially putting the cloud platform at risk. Considering security risks, public cloud providers still don't offer multi-tenant FPGA services. This paper analyzes the security concerns of multi-tenant cloud FPGAs, gives a thorough description of the security problems associated with them, and discusses upcoming future challenges in this field of study

    Design of a secure architecture for the exchange of biomedical information in m-Health scenarios

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    El paradigma de m-Salud (salud m贸vil) aboga por la integraci贸n masiva de las m谩s avanzadas tecnolog铆as de comunicaci贸n, red m贸vil y sensores en aplicaciones y sistemas de salud, para fomentar el despliegue de un nuevo modelo de atenci贸n cl铆nica centrada en el usuario/paciente. Este modelo tiene por objetivos el empoderamiento de los usuarios en la gesti贸n de su propia salud (p.ej. aumentando sus conocimientos, promocionando estilos de vida saludable y previniendo enfermedades), la prestaci贸n de una mejor tele-asistencia sanitaria en el hogar para ancianos y pacientes cr贸nicos y una notable disminuci贸n del gasto de los Sistemas de Salud gracias a la reducci贸n del n煤mero y la duraci贸n de las hospitalizaciones. No obstante, estas ventajas, atribuidas a las aplicaciones de m-Salud, suelen venir acompa帽adas del requisito de un alto grado de disponibilidad de la informaci贸n biom茅dica de sus usuarios para garantizar una alta calidad de servicio, p.ej. fusionar varias se帽ales de un usuario para obtener un diagn贸stico m谩s preciso. La consecuencia negativa de cumplir esta demanda es el aumento directo de las superficies potencialmente vulnerables a ataques, lo que sit煤a a la seguridad (y a la privacidad) del modelo de m-Salud como factor cr铆tico para su 茅xito. Como requisito no funcional de las aplicaciones de m-Salud, la seguridad ha recibido menos atenci贸n que otros requisitos t茅cnicos que eran m谩s urgentes en etapas de desarrollo previas, tales como la robustez, la eficiencia, la interoperabilidad o la usabilidad. Otro factor importante que ha contribuido a retrasar la implementaci贸n de pol铆ticas de seguridad s贸lidas es que garantizar un determinado nivel de seguridad implica unos costes que pueden ser muy relevantes en varias dimensiones, en especial en la econ贸mica (p.ej. sobrecostes por la inclusi贸n de hardware extra para la autenticaci贸n de usuarios), en el rendimiento (p.ej. reducci贸n de la eficiencia y de la interoperabilidad debido a la integraci贸n de elementos de seguridad) y en la usabilidad (p.ej. configuraci贸n m谩s complicada de dispositivos y aplicaciones de salud debido a las nuevas opciones de seguridad). Por tanto, las soluciones de seguridad que persigan satisfacer a todos los actores del contexto de m-Salud (usuarios, pacientes, personal m茅dico, personal t茅cnico, legisladores, fabricantes de dispositivos y equipos, etc.) deben ser robustas y al mismo tiempo minimizar sus costes asociados. Esta Tesis detalla una propuesta de seguridad, compuesta por cuatro grandes bloques interconectados, para dotar de seguridad a las arquitecturas de m-Salud con unos costes reducidos. El primer bloque define un esquema global que proporciona unos niveles de seguridad e interoperabilidad acordes con las caracter铆sticas de las distintas aplicaciones de m-Salud. Este esquema est谩 compuesto por tres capas diferenciadas, dise帽adas a la medidas de los dominios de m-Salud y de sus restricciones, incluyendo medidas de seguridad adecuadas para la defensa contra las amenazas asociadas a sus aplicaciones de m-Salud. El segundo bloque establece la extensi贸n de seguridad de aquellos protocolos est谩ndar que permiten la adquisici贸n, el intercambio y/o la administraci贸n de informaci贸n biom茅dica -- por tanto, usados por muchas aplicaciones de m-Salud -- pero no re煤nen los niveles de seguridad detallados en el esquema previo. Estas extensiones se concretan para los est谩ndares biom茅dicos ISO/IEEE 11073 PHD y SCP-ECG. El tercer bloque propone nuevas formas de fortalecer la seguridad de los tests biom茅dicos, que constituyen el elemento esencial de muchas aplicaciones de m-Salud de car谩cter cl铆nico, mediante codificaciones novedosas. Finalmente el cuarto bloque, que se sit煤a en paralelo a los anteriores, selecciona herramientas gen茅ricas de seguridad (elementos de autenticaci贸n y criptogr谩ficos) cuya integraci贸n en los otros bloques resulta id贸nea, y desarrolla nuevas herramientas de seguridad, basadas en se帽al -- embedding y keytagging --, para reforzar la protecci贸n de los test biom茅dicos.The paradigm of m-Health (mobile health) advocates for the massive integration of advanced mobile communications, network and sensor technologies in healthcare applications and systems to foster the deployment of a new, user/patient-centered healthcare model enabling the empowerment of users in the management of their health (e.g. by increasing their health literacy, promoting healthy lifestyles and the prevention of diseases), a better home-based healthcare delivery for elderly and chronic patients and important savings for healthcare systems due to the reduction of hospitalizations in number and duration. It is a fact that many m-Health applications demand high availability of biomedical information from their users (for further accurate analysis, e.g. by fusion of various signals) to guarantee high quality of service, which on the other hand entails increasing the potential surfaces for attacks. Therefore, it is not surprising that security (and privacy) is commonly included among the most important barriers for the success of m-Health. As a non-functional requirement for m-Health applications, security has received less attention than other technical issues that were more pressing at earlier development stages, such as reliability, eficiency, interoperability or usability. Another fact that has contributed to delaying the enforcement of robust security policies is that guaranteeing a certain security level implies costs that can be very relevant and that span along diferent dimensions. These include budgeting (e.g. the demand of extra hardware for user authentication), performance (e.g. lower eficiency and interoperability due to the addition of security elements) and usability (e.g. cumbersome configuration of devices and applications due to security options). Therefore, security solutions that aim to satisfy all the stakeholders in the m-Health context (users/patients, medical staff, technical staff, systems and devices manufacturers, regulators, etc.) shall be robust and, at the same time, minimize their associated costs. This Thesis details a proposal, composed of four interrelated blocks, to integrate appropriate levels of security in m-Health architectures in a cost-efcient manner. The first block designes a global scheme that provides different security and interoperability levels accordingto how critical are the m-Health applications to be implemented. This consists ofthree layers tailored to the m-Health domains and their constraints, whose security countermeasures defend against the threats of their associated m-Health applications. Next, the second block addresses the security extension of those standard protocols that enable the acquisition, exchange and/or management of biomedical information | thus, used by many m-Health applications | but do not meet the security levels described in the former scheme. These extensions are materialized for the biomedical standards ISO/IEEE 11073 PHD and SCP-ECG. Then, the third block proposes new ways of enhancing the security of biomedical standards, which are the centerpiece of many clinical m-Health applications, by means of novel codings. Finally the fourth block, with is parallel to the others, selects generic security methods (for user authentication and cryptographic protection) whose integration in the other blocks results optimal, and also develops novel signal-based methods (embedding and keytagging) for strengthening the security of biomedical tests. The layer-based extensions of the standards ISO/IEEE 11073 PHD and SCP-ECG can be considered as robust, cost-eficient and respectful with their original features and contents. The former adds no attributes to its data information model, four new frames to the service model |and extends four with new sub-frames|, and only one new sub-state to the communication model. Furthermore, a lightweight architecture consisting of a personal health device mounting a 9 MHz processor and an aggregator mounting a 1 GHz processor is enough to transmit a 3-lead electrocardiogram in real-time implementing the top security layer. The extra requirements associated to this extension are an initial configuration of the health device and the aggregator, tokens for identification/authentication of users if these devices are to be shared and the implementation of certain IHE profiles in the aggregator to enable the integration of measurements in healthcare systems. As regards to the extension of SCP-ECG, it only adds a new section with selected security elements and syntax in order to protect the rest of file contents and provide proper role-based access control. The overhead introduced in the protected SCP-ECG is typically 2{13 % of the regular file size, and the extra delays to protect a newly generated SCP-ECG file and to access it for interpretation are respectively a 2{10 % and a 5 % of the regular delays. As regards to the signal-based security techniques developed, the embedding method is the basis for the proposal of a generic coding for tests composed of biomedical signals, periodic measurements and contextual information. This has been adjusted and evaluated with electrocardiogram and electroencephalogram-based tests, proving the objective clinical quality of the coded tests, the capacity of the coding-access system to operate in real-time (overall delays of 2 s for electrocardiograms and 3.3 s for electroencephalograms) and its high usability. Despite of the embedding of security and metadata to enable m-Health services, the compression ratios obtained by this coding range from ' 3 in real-time transmission to ' 5 in offline operation. Complementarily, keytagging permits associating information to images (and other signals) by means of keys in a secure and non-distorting fashion, which has been availed to implement security measures such as image authentication, integrity control and location of tampered areas, private captioning with role-based access control, traceability and copyright protection. The tests conducted indicate a remarkable robustness-capacity tradeoff that permits implementing all this measures simultaneously, and the compatibility of keytagging with JPEG2000 compression, maintaining this tradeoff while setting the overall keytagging delay in only ' 120 ms for any image size | evidencing the scalability of this technique. As a general conclusion, it has been demonstrated and illustrated with examples that there are various, complementary and structured manners to contribute in the implementation of suitable security levels for m-Health architectures with a moderate cost in budget, performance, interoperability and usability. The m-Health landscape is evolving permanently along all their dimensions, and this Thesis aims to do so with its security. Furthermore, the lessons learned herein may offer further guidance for the elaboration of more comprehensive and updated security schemes, for the extension of other biomedical standards featuring low emphasis on security or privacy, and for the improvement of the state of the art regarding signal-based protection methods and applications

    Cyber Security

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    This open access book constitutes the refereed proceedings of the 17th International Annual Conference on Cyber Security, CNCERT 2021, held in Beijing, China, in AJuly 2021. The 14 papers presented were carefully reviewed and selected from 51 submissions. The papers are organized according to the following topical sections: 鈥媎ata security; privacy protection; anomaly detection; traffic analysis; social network security; vulnerability detection; text classification

    Cyber Security

    Get PDF
    This open access book constitutes the refereed proceedings of the 17th International Annual Conference on Cyber Security, CNCERT 2021, held in Beijing, China, in AJuly 2021. The 14 papers presented were carefully reviewed and selected from 51 submissions. The papers are organized according to the following topical sections: 鈥媎ata security; privacy protection; anomaly detection; traffic analysis; social network security; vulnerability detection; text classification

    Securing Critical Infrastructures

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    1noL'abstract 猫 presente nell'allegato / the abstract is in the attachmentopen677. INGEGNERIA INFORMATInoopenCarelli, Albert
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