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Today all kinds of ubiquitous systems, led by wireless sensor
networks, can be seen as an unprecedented privacy risk given their
ability to collect information on quantities and situations so far
unsuspected. There is therefore an urgent need to develop
mechanisms to ensure privacy in sensor networks. Location Privacy
in Wireless Sensor Networks focuses on location privacy, by which
an attacker might determine the source and destination of
communications with simple techniques. This poses a serious threat
as the attacker might use this information to reach the assets or
individuals being monitored or even to destroy or compromise the
whole network. This book will aid in the protection against this
serious privacy threat.
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Data Privacy Management, Cryptocurrencies and Blockchain Technology - ESORICS 2018 International Workshops, DPM 2018 and CBT 2018, Barcelona, Spain, September 6-7, 2018, Proceedings (Paperback, 1st ed. 2018)
Joaquin Garcia-Alfaro, Jordi Herrera Joancomarti, Giovanni Livraga, Ruben Rios
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R2,117
Discovery Miles 21 170
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Ships in 10 - 15 working days
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This book constitutes the refereed conference proceedings of the
2nd International Workshop on Cryprocurrencies and Blockchain
Technology, CBT 2018, and the 13thInternational Workshop on Data
Privacy Management, DPM 2018, on conjunction with the 23nd European
Symposium on Research in Computer Security, ESORICS 2018, held in
Barcelona, Spain, in September 2018. From the CBT Workshop 7 full
and 8 short papers out of 39 submissions are included. The selected
papers cover aspects of identity management, smart contracts, soft-
and hardforks, proof-of-works and proof of stake as well as on
network layer aspects and the application of blockchain technology
for secure connect event ticketing. The DPM Workshop received 36
submissions from which 11 full and 5 short papers were selected for
presentation. The papers focus on challenging problems such as
translation of high-level buiness goals into system level privacy
policies, administration of sensitive identifiers, data integration
and privacy engineering.
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The Head (Paperback)
Ruben Rios; Pedro Cabiya
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R180
Discovery Miles 1 800
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Ships in 10 - 15 working days
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Racked with guilt over a car accident that has left his wife Gloria
horribly disfigured, Daniel is confronted at all moments by the
call of the flesh and his duty as a husband. Enter Ezekiel, his
insane brother, who has designed a machine that solves the
mind-body dilemma with gruesome simplicity. A science fiction tale
of rare intensity and biblical undertones, and a erotic novel all
rolled into one. At times funny, sexy, disturbing and eye-opening.
This is Cabiya at his very best. Published in English for the first
time in a wonderful translation by Daniela Paiewonsky. "Cabiya
weaves, via a formidable fusion of the erotic novel and the science
fiction tale, a plot (as sordid as it is irresistible) around
sexual desire and its alibis in this ciber-melancholic era of the
virtual body. Casual, unfazed, armed with the exquisite cruelty
that characterizes his supple and meticulous prose, this short
novel proves once more that we are dealing with one of the most
original and capable storytellers of the Caribbean." Ruben Rios
Avila
Hotel Abismo is an independent, peer reviewed journal dedicated to
literature and criticism in Puerto Rico, the Caribbean, and Latin
America.
Today all kinds of ubiquitous systems, led by wireless sensor
networks, can be seen as an unprecedented privacy risk given their
ability to collect information on quantities and situations so far
unsuspected. There is therefore an urgent need to develop
mechanisms to ensure privacy in sensor networks. Location Privacy
in Wireless Sensor Networks focuses on location privacy, by which
an attacker might determine the source and destination of
communications with simple techniques. This poses a serious threat
as the attacker might use this information to reach the assets or
individuals being monitored or even to destroy or compromise the
whole network. This book will aid in the protection against this
serious privacy threat.
|
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