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1000 tulosta hakusanalla Daniela Simic

IT-Sicherheitsanalysen

IT-Sicherheitsanalysen

Daniela Simic

de Gruyter Oldenbourg
2017
sidottu
Die etablierten Verfahren zur Durchf hrung von IT-Sicherheitsanalysen beziehen sich im Regelfall auf technische Systeme. Dieses Vorgehen ist mit einem vertretbaren Aufwand m glich, solange es sich hierbei nur um wenige bzw. eindeutig abzugrenzende IT-Systeme handelt. Herausforderungen treten jedoch dann auf, wenn eine Organisation bzw. die unterst tzenden IT-Systeme in ihrer Komplexit t zunehmen. Hierbei besteht die Gefahr, dass sicherheitskritische IT-Systeme nicht oder zu sp t erkannt werden und somit Schwachstellen nicht rechtzeitig behoben werden. Dar ber hinaus weisen die bekannten Verfahren dem Menschen lediglich eine untergeordnete Rolle zu. Es fehlt hier also eine differenzierte Betrachtung des Anwenders von IT-Systemen in dessen Rollen als Sicherheitsrisiko (nutzt Schwachstellen aus), Sicherheitstr ger (agiert als Sicherheitsma nahme) und Wissenstr ger (besitzt implizites Wissen). Schlie lich bleibt die Dynamik sicherheitskritischer IT-Systeme und ihrer Sicherheitsvorf lle verborgen, sofern in der Analyse nur die Zust nde und nicht die dazugeh rigen Abl ufe zum Ausdruck gebracht werden. Eine L sung f r die genannten L cken liefert diese Dissertation, innerhalb derer eine Vorgehensweise zur Durchf hrung einer IT-Sicherheitsanalyse auf Basis von Gesch ftsprozessen entwickelt wurde. Daniela Simic ist von Dezember 2011 an als wissenschaftliche Mitarbeiterin bei der Forschungsgruppe f r IT-Risk-Management besch ftigt gewesen; 2015 erfolgte der Wechsel zur Forschungsgruppe f r Verwaltungsinformatik. W hrend dieser Zeit hat sie Projekt- als auch Lehraufgaben wahrgenommen und ist in mehreren Forschungsprojekten involviert gewesen: ModIWa II (Modellierung von Internetwahlen), EVUS (Online-Plattform zur Unterst tzung im Brand- und Katastrophenschutz) und KoMePol (Forschung zu Vertrauen in politischer Kommunikation). Sowohl ihren Bachelor als auch ihren Master of Science im Studienfach Informationsmanagement erlangte Daniela Simic-Draws an der Universit t Koblenz.
The Silicon Shrink

The Silicon Shrink

Daniel Oberhaus

MIT PRESS LTD
2025
sidottu
Why the race to apply AI in psychiatry is so dangerous, and how to understand the new tech-driven psychiatric paradigm.AI psychiatrists promise to detect mental disorders with superhuman accuracy, provide affordable therapy for those who can’t afford or can’t access treatment, and even invent new psychiatric drugs. But the hype obscures an unnerving reality. In The Silicon Shrink, Daniel Oberhaus tells the inside story of how the quest to use AI in psychiatry has created the conditions to turn the world into an asylum. Most of these systems, he writes, have vanishingly little evidence that they improve patient outcomes, but the risks they pose have less to do with technological shortcomings than the application of deeply flawed psychiatric models of mental disorder at unprecedented scale. Oberhaus became interested in the subject of mental health after tragically losing his sister to suicide. In the book, he argues that these new, ostensibly therapeutic technologies already pose significant risks to vulnerable people, and they won’t stop there. These new breeds of AI systems are creating a psychiatric surveillance economy in which the emotions, behavior, and cognition of everyday people are subtly manipulated by psychologically savvy algorithms that have escaped the clinic. Oberhaus also introduces readers to the concept of “swipe psychology,” which is quickly establishing itself as the dominant mode of diagnosing and treating mental disorders. It is not too late to change course, but to do so means we must reckon with the nature of mental illness, the limits of technology, and what it means to be human.
Semiclassical Approach to Mesoscopic Systems

Semiclassical Approach to Mesoscopic Systems

Daniel Waltner

Springer-Verlag Berlin and Heidelberg GmbH Co. K
2012
sidottu
This volume describes mesoscopic systems with classically chaotic dynamics using semiclassical methods which combine elements of classical dynamics and quantum interference effects. Experiments and numerical studies show that Random Matrix Theory (RMT) explains physical properties of these systems well. This was conjectured more than 25 years ago by Bohigas, Giannoni and Schmit for the spectral properties. Since then, it has been a challenge to understand this connection analytically. The author offers his readers a clearly-written and up-to-date treatment of the topics covered. He extends previous semiclassical approaches that treated spectral and conductance properties. He shows that RMT results can in general only be obtained semiclassically when taking into account classical configurations not considered previously, for example those containing multiply traversed periodic orbits. Furthermore, semiclassics is capable of describing effects beyond RMT. In this context he studies the effect of a non-zero Ehrenfest time, which is the minimal time needed for an initially spatially localized wave packet to show interference. He derives its signature on several quantities characterizing mesoscopic systems, e. g. dc and ac conductance, dc conductance variance, n-pair correlation functions of scattering matrices and the gap in the density of states of Andreev billiards.
Semiclassical Approach to Mesoscopic Systems

Semiclassical Approach to Mesoscopic Systems

Daniel Waltner

Springer-Verlag Berlin and Heidelberg GmbH Co. K
2014
nidottu
This volume describes mesoscopic systems with classically chaotic dynamics using semiclassical methods which combine elements of classical dynamics and quantum interference effects. Experiments and numerical studies show that Random Matrix Theory (RMT) explains physical properties of these systems well. This was conjectured more than 25 years ago by Bohigas, Giannoni and Schmit for the spectral properties. Since then, it has been a challenge to understand this connection analytically. The author offers his readers a clearly-written and up-to-date treatment of the topics covered. He extends previous semiclassical approaches that treated spectral and conductance properties. He shows that RMT results can in general only be obtained semiclassically when taking into account classical configurations not considered previously, for example those containing multiply traversed periodic orbits. Furthermore, semiclassics is capable of describing effects beyond RMT. In this context he studies the effect of a non-zero Ehrenfest time, which is the minimal time needed for an initially spatially localized wave packet to show interference. He derives its signature on several quantities characterizing mesoscopic systems, e. g. dc and ac conductance, dc conductance variance, n-pair correlation functions of scattering matrices and the gap in the density of states of Andreev billiards.
Near Infrared Detectors Based on Silicon Supersaturated with Transition Metals

Near Infrared Detectors Based on Silicon Supersaturated with Transition Metals

Daniel Montero Álvarez

Springer Nature Switzerland AG
2021
sidottu
This thesis makes a significant contribution to the development of cheaper Si-based Infrared detectors, operating at room temperature. In particular, the work is focused in the integration of the Ti supersaturated Si material into a CMOS Image Sensor route, the technology of choice for imaging nowadays due to its low-cost and high resolution. First, the material is fabricated using ion implantation of Ti atoms at high concentrations. Afterwards, the crystallinity is recovered by means of a pulsed laser process. The material is used to fabricate planar photodiodes, which are later characterized using current-voltage and quantum efficiency measurements. The prototypes showed improved sub-bandgap responsivity up to 0.45 eV at room temperature. The work is further supported by a collaboration with STMicroelectronics, where the supersaturated material was integrated into CMOS-based sensors at industry level. The results show that Ti supersaturated Si is compatible in terms of contamination, process integration and uniformity. The devices showed similar performance to non-implanted devices in the visible region. This fact leaves the door open for further integration of supersaturated materials into CMOS Image Sensors.
Near Infrared Detectors Based on Silicon Supersaturated with Transition Metals

Near Infrared Detectors Based on Silicon Supersaturated with Transition Metals

Daniel Montero Álvarez

Springer Nature Switzerland AG
2022
nidottu
This thesis makes a significant contribution to the development of cheaper Si-based Infrared detectors, operating at room temperature. In particular, the work is focused in the integration of the Ti supersaturated Si material into a CMOS Image Sensor route, the technology of choice for imaging nowadays due to its low-cost and high resolution. First, the material is fabricated using ion implantation of Ti atoms at high concentrations. Afterwards, the crystallinity is recovered by means of a pulsed laser process. The material is used to fabricate planar photodiodes, which are later characterized using current-voltage and quantum efficiency measurements. The prototypes showed improved sub-bandgap responsivity up to 0.45 eV at room temperature. The work is further supported by a collaboration with STMicroelectronics, where the supersaturated material was integrated into CMOS-based sensors at industry level. The results show that Ti supersaturated Si is compatible in terms of contamination, process integration and uniformity. The devices showed similar performance to non-implanted devices in the visible region. This fact leaves the door open for further integration of supersaturated materials into CMOS Image Sensors.
Silica Stories

Silica Stories

Christina De la Rocha; Daniel J. Conley

Springer International Publishing AG
2017
sidottu
Do you know silica, the tetrahedra of silicon and oxygen constituting the crystals of New Agers and the desiccant in a box of new shoes? It's no mere mundane mineral. As chemically reacting silicate rocks, silica set off the chain of events known as the origin of life. As biomineralized opal, it is the cell wall, skeleton, spicules, and scales of organisms ornamenting numerous lobes of the tree of life. Cryptocrystalline silica made into stone tools helped drive the evolution of our hands and our capability for complex grammar, music, and mathematics. As quartz crystals, silica is impressively electric and ubiquitous in modern technology (think sonar, radios, telephones, ultrasound, and cheap but precise watches). Silica is inescapable when we take a drink or mow the lawn and it has already started to save the Earth from the carbon dioxide we're spewing into the atmosphere. This book tells these scientific tales and more, to give dear, modest silica its due.
Silica Stories

Silica Stories

Christina De La Rocha; Daniel J. Conley

Springer International Publishing AG
2018
nidottu
Do you know silica, the tetrahedra of silicon and oxygen constituting the crystals of New Agers and the desiccant in a box of new shoes? It's no mere mundane mineral. As chemically reacting silicate rocks, silica set off the chain of events known as the origin of life. As biomineralized opal, it is the cell wall, skeleton, spicules, and scales of organisms ornamenting numerous lobes of the tree of life. Cryptocrystalline silica made into stone tools helped drive the evolution of our hands and our capability for complex grammar, music, and mathematics. As quartz crystals, silica is impressively electric and ubiquitous in modern technology (think sonar, radios, telephones, ultrasound, and cheap but precise watches). Silica is inescapable when we take a drink or mow the lawn and it has already started to save the Earth from the carbon dioxide we're spewing into the atmosphere. This book tells these scientific tales and more, to give dear, modest silica its due.
Hammer and Silicon

Hammer and Silicon

Sheila M. Puffer; Daniel J. McCarthy; Daniel M. Satinsky

Cambridge University Press
2018
sidottu
This deeply personal book tells the untold story of the significant contributions of technical professionals from the former Soviet Union to the US innovation economy, particularly in the sectors of software, social media, biotechnology, and medicine. Drawing upon in-depth interviews, it channels the voices and stories of more than 150 professionals who emigrated from 11 of the 15 former Soviet republics between the 1970s and 2015, and who currently work in the innovation hubs of Silicon Valley and Boston/Cambridge. Using the social science theories of institutions, imprinting, and identity, the authors analyze the political, social, economic, and educational forces that have characterized Soviet immigration over the past 40 years, showing how the particularities of the Soviet context may have benefited or challenged interviewees' work and social lives. The resulting mosaic of perspectives provides valuable insight into the impact of immigration on US economic development, specifically in high technology and innovation.
Hammer and Silicon

Hammer and Silicon

Sheila M. Puffer; Daniel J. McCarthy; Daniel M. Satinsky

Cambridge University Press
2018
pokkari
This deeply personal book tells the untold story of the significant contributions of technical professionals from the former Soviet Union to the US innovation economy, particularly in the sectors of software, social media, biotechnology, and medicine. Drawing upon in-depth interviews, it channels the voices and stories of more than 150 professionals who emigrated from 11 of the 15 former Soviet republics between the 1970s and 2015, and who currently work in the innovation hubs of Silicon Valley and Boston/Cambridge. Using the social science theories of institutions, imprinting, and identity, the authors analyze the political, social, economic, and educational forces that have characterized Soviet immigration over the past 40 years, showing how the particularities of the Soviet context may have benefited or challenged interviewees' work and social lives. The resulting mosaic of perspectives provides valuable insight into the impact of immigration on US economic development, specifically in high technology and innovation.
Custom SoCs for IoT: Simplified: The Emergence of Custom Silicon for IoT Devices

Custom SoCs for IoT: Simplified: The Emergence of Custom Silicon for IoT Devices

Mitch Heins; Daniel Nenni

Createspace Independent Publishing Platform
2017
nidottu
Two important trends will be discussed in this book: The disruptive nature of the Internet of Things and the use of the ASIC business model by systems companies to get into the chip business. Disruptive technology has been an integral part of life at least since the electrical telegraph in the 1700s. My Grandfather, whose lifespan touched three centuries, always marveled at the ice machine in his refrigerator's door, since he delivered ice blocks when he was growing up. Even though he experienced the automobile, air travel, and the beginning of military technology (he was a medic in WWI), the ice machine was always his favorite "gadget." My favorite will probably always be the smartphone because it is the Swiss Army Knife of gadgets. The big difference between IoT and everyone's favorite gadget is that in the next ten years IoT will touch EVERY gadget in our lives. The Industrial Internet of Things is leading the way with smart buildings, factories, and farms and a very clear return on investment (ROI) as a driver. Smart (autonomous) transportation such as cars, trucks, airplanes, ships, and drones are a close second. Consumer IoT featuring smart home devices and wearables are a distant third because the ROI is not always as clear. Moreover, of course, security is a big IoT market segment in itself and will also touch many other IoT devices as well. According to Masayoshi Son, Chairman and CEO of SoftBank Group Corp, and Chairman of Arm Holdings, more than one trillion IoT devices will be built between 2017 and 2035. Even more interesting, the market for IoT devices and related services could be worth a staggering one trillion dollars per year by 2035. Clearly, systems companies are in the best position to win this market as long as they can make their own IoT chips and that is where the tried and true ASIC business model comes back into play. The ASIC business model came about in the 1980s and was the catalyst for what we now call the fabless semiconductor ecosystem. You no longer need the massive capital and semiconductor expertise that is required to make a chip unique to your requirements and keep it out of your competitor's hands. This ASIC revolution not only enabled a slew of fabless semiconductor companies that dominated the semiconductor industry, ASICs also enabled a number of systems companies such as Apple, Cisco, Microsoft, and even Google to become what is now known as "fabless systems companies"-systems companies who control their silicon destiny. Even today the ASIC business is a multibillion-dollar market, and the annual growth rate is increasing rapidly as non-traditional chip companies are getting into the semiconductor design business. Additionally, the make-versus-buy chip decision continues to get easier with very cost effective commercial IP and turnkey ASIC providers like Open-Silicon. If you look at the product offerings of the top three EDA companies (Synopsys, Cadence, and Mentor), the transition from chip to the system level design is clear. As a result, the sources of EDA revenues are now dominated by non-traditional chip companies that are following Apple's lead. The pure-play foundry business is also experiencing a surge with Apple providing close to 20% of TSMC's annual revenue in 2017. In the second half of the book, we discuss exactly what it takes to go from specification to chip using the Open-Silicon Spec2Chip Turnkey Solution. Open-Silicon has worked with more than 150 semiconductor and systems companies (large and small) completing more than 300 designs and shipping more than 130 million ASICs, which is why we chose them to partner with us for this book, absolutely.