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Cypherpunk Bitstream 0x06: Security II
We talk about major threats to security, mainly focussed on future threats and the reaction from security services. Some keywords are: Nuclear proliferation, robotic warfare, technology regulation, surveillance state, bioterrorism, and omniviolence.
Subscribe
Show Notes
Section I Future of Security
Introduction: Emotional Reach, Classifying the Population, Keeping the Legitimacy
the crimes they battle against, which ones are ignored.
street robberies, etc.
public image.
empathize with the victim (child abuse, burglary).
with assault of a 20-30 year old man, than with the elderly, women,
or children.
behind the police, …and that is used for higher surveillance.
Child pornography is the abdomination of the 21st century.
etc, undermindes the belief in the state. Other crimes do not affect
the trust so much, i.e. insurance fraud. Nobody’s sorry about big
corporations being scammed.
Systemic Risk Categories: Crimes That Matter
First Example
divide Good states from Bad States.
UdSSR, because of Proliferation.
Material, Technology, Warheads. Sensor Networks to detect nuclear
material (isotope scanners).
Soviet, US, Plane incidents over Mediterrean Sea).
Bombs (not all recovered).
likely to actually use them (cannot be retrieved).
territory (hollowed out state): Iran, Afghanistan, Mexico.
it: where is it from, maintenance, deploy (actors who follow
through, reliable remote triggers), maybe a lot of the old warheads
are not usable (physical trigger method is lost).
Second Example
Cartels, MS-13, Triads, etc).
of immunity and souvereignity.
organizations and pure criminal organizations.
institutions: corruption, blackmail, threats.
thus the political head becomes just an illusion of power (Mexico,
Miami in the 80s, etc).
Third Example
Attacks (Sarin Gas).
hard and too early to tell.
unlimited transmission, contagion risks high (better: easy to
contain, infectious chain are short and unstable).
are non-attributable. Exceptions: doomsday sects, radical
environmentalists.
Wrap-Up Section I
supported crimes.
travels, cheap organization and management technologies, cheap
communication), also a part of globalization.
criminals: random criminals, child pornography.
really problematic, because it became cheap and easy (all you need
is a mobile phone).
Section II Dystopian Side
Cybercrime, Robotic Warfare, Omniviolence
darknet and Aliexpress.
be very smart, you randomly target victims, plus degree of
seperation (=every idiot can become a phisher).
efficient organizations are possible (Paul LeRoux).
access to cheap and easy components (Shenzhen), low morals,
power-hungry individuals.
systemic risks to countries, maybe entire planet (Example: nuclear
and bio weapons).
working on it. Threat becomes increasingly realistic, while not
being trivial to deal with, or understand. Thing that is most likely
to shape the future.
explosive inside, plus facial recognition (ESP32 development kit).
generation: DJi RoboMaster-s1, educational toy for children,
available today. Already has face and object recognition, autonomy
features.
realistic.
smart, and there happens to be a huge technological toolbox to
select from. Given it enough intelligence, and enough energy, drive,
and goals, you can be really dangerous these days.
dystopian world where the whole system is focussed on preventing
omniviolence.
regulating technology.
Drugs and Butterflies
illegal drugs, and an unrealistic dream.
marketed as rebellion,… (they) don’t help you to become an actual
rebel, and actually being effective.
(you are being seen and heard, aurelians and lepidopterists, and
your work matters).
Preventive detention
prevent crime in the future.”
away (Gustl Mollath).
prevent crimes? Social and economic consequences.
Surveillance, Cryptography, and Regulations
data, nudging.
networks (health: predict illnesses), can also be used to predict
behavior.
increase their security status (international trend).
(EU, some US states).
skin. AI training sets are mostly light-skinned.
racial bias, easy thing to give up (it’s commercialized already, see
ClearView AI).
Recognition Spiders (原谅宝官方 yuanliang bao guanfang,
https://pornstarbyface.com/, https://deepmindy.com/)
drone sector.
average joe is hard.
implementing cryptographic systems by people who are not specialized
in that, usually goes wrong. It’s really hard to build secure
cryptographic software, even with libraries out there, etc.
pharmarcies.
technology (regulating both components and knowledge).
prevented by total surveillance combined with AI. (Bostrom:
Vulnerable World Paper)
potentially threatening tech, without actually understanding or
knowing what this tech is.
life quality.
VR goggles on.
from getting anywhere in life.
access, social scoring systems (today mostly reactive).
bad, adjust access to technology. (Ender’s Game pilots)
licenses. Where does the reliability score come from? Future might
be more automated.
pilot and weapon licenses. If you have a lot of points, they won’t
give you the license.
needed.
deploying surveillance is cranked up.
neighborhoods, limit travel within city, using drones, using CCTV
cameras to check masks and temperature, booking details, location
tracking, etc.
pandemic.
huge population is going down.
grenade launchers, automatically engaged.
SGR-A1, Hankook Mirae Method-2?)
or flying into target.
weapon technology for killing people.
Section III Less Dystopian Side
Frank and Smuggler answering your questions!
their nym used in legal documents or at their work place? Is that a
realistic goal?
clandestine purchasing. For example, do 3D printers have hidden
tracking codes like paper printers? Discussing details on aquiring
something like this with a pre-paid credit card and how to ship it
to a non-attributate address would be cool.
shipments by mail. Not necessarily very illegal items, but maybe
items you just don’t want to receive at an attributable adress and
that are larger than what fits in a standard letterbox. How to
receive things in another name and where with the least amount of
trouble and risk?
drop-operations and otherwise? What methods are effective? How often
worn outside the TAZ?
OS?
proxy) has the most tactical technical capacity for attacks and
defense?
is outdated and US-centric. Are there more current and EU-centric
versions of the topic, how can I make my life as anonymous as
possible?
Minimum Wage Report
Reading Recommendations
978-0-465-05670-5
Hypothesis
Control Problem at the End of
History
Menschen
Discuss
We’re on bbs.anarplex.net with our own board to discuss!
Hosts
Contact
Snail mail
Bitstream
Scanbox #06965
Ehrenbergstr. 16a
10245 Berlin
Germany
Please send us feedback letters, postcards, and interesting books. You can also send us your dirty fiat by cash in the mail! We take all currencies.
Support
Please support Cypherpunk Bitstream by donating to:
Bitcoin: 38mzCtXHjgq6RusYQsFy2TQiLvLK7vN5JF (also via lightning network)
Bitcoin Cash: qrpwhtsag0u4rnuam9a5vwmqnly96znas5f5txjc35
Decred: Dsi9j7SdwZrHtCfUmxTNgpVGx2YAboZc7ve
Monero: 87UPx5sBS6g6wTvyRqqSMfFM6DzfHCPtFE25VC62vfohZVv4RRNcwif1XAPWTF27U1BKZEsrEXzDr6bMnGoTcThATvamE73
NEAR: bitstream.near
Zcash: t1ewcXqQ9Uog5gMYjeeV46WiWB5j2SwD9Sv
View all episodes
By Frank Braun & Jonathan 'smuggler' LoganWe talk about major threats to security, mainly focussed on future threats and the reaction from security services. Some keywords are: Nuclear proliferation, robotic warfare, technology regulation, surveillance state, bioterrorism, and omniviolence.
Subscribe
Show Notes
Section I Future of Security
Introduction: Emotional Reach, Classifying the Population, Keeping the Legitimacy
the crimes they battle against, which ones are ignored.
street robberies, etc.
public image.
empathize with the victim (child abuse, burglary).
with assault of a 20-30 year old man, than with the elderly, women,
or children.
behind the police, …and that is used for higher surveillance.
Child pornography is the abdomination of the 21st century.
etc, undermindes the belief in the state. Other crimes do not affect
the trust so much, i.e. insurance fraud. Nobody’s sorry about big
corporations being scammed.
Systemic Risk Categories: Crimes That Matter
First Example
divide Good states from Bad States.
UdSSR, because of Proliferation.
Material, Technology, Warheads. Sensor Networks to detect nuclear
material (isotope scanners).
Soviet, US, Plane incidents over Mediterrean Sea).
Bombs (not all recovered).
likely to actually use them (cannot be retrieved).
territory (hollowed out state): Iran, Afghanistan, Mexico.
it: where is it from, maintenance, deploy (actors who follow
through, reliable remote triggers), maybe a lot of the old warheads
are not usable (physical trigger method is lost).
Second Example
Cartels, MS-13, Triads, etc).
of immunity and souvereignity.
organizations and pure criminal organizations.
institutions: corruption, blackmail, threats.
thus the political head becomes just an illusion of power (Mexico,
Miami in the 80s, etc).
Third Example
Attacks (Sarin Gas).
hard and too early to tell.
unlimited transmission, contagion risks high (better: easy to
contain, infectious chain are short and unstable).
are non-attributable. Exceptions: doomsday sects, radical
environmentalists.
Wrap-Up Section I
supported crimes.
travels, cheap organization and management technologies, cheap
communication), also a part of globalization.
criminals: random criminals, child pornography.
really problematic, because it became cheap and easy (all you need
is a mobile phone).
Section II Dystopian Side
Cybercrime, Robotic Warfare, Omniviolence
darknet and Aliexpress.
be very smart, you randomly target victims, plus degree of
seperation (=every idiot can become a phisher).
efficient organizations are possible (Paul LeRoux).
access to cheap and easy components (Shenzhen), low morals,
power-hungry individuals.
systemic risks to countries, maybe entire planet (Example: nuclear
and bio weapons).
working on it. Threat becomes increasingly realistic, while not
being trivial to deal with, or understand. Thing that is most likely
to shape the future.
explosive inside, plus facial recognition (ESP32 development kit).
generation: DJi RoboMaster-s1, educational toy for children,
available today. Already has face and object recognition, autonomy
features.
realistic.
smart, and there happens to be a huge technological toolbox to
select from. Given it enough intelligence, and enough energy, drive,
and goals, you can be really dangerous these days.
dystopian world where the whole system is focussed on preventing
omniviolence.
regulating technology.
Drugs and Butterflies
illegal drugs, and an unrealistic dream.
marketed as rebellion,… (they) don’t help you to become an actual
rebel, and actually being effective.
(you are being seen and heard, aurelians and lepidopterists, and
your work matters).
Preventive detention
prevent crime in the future.”
away (Gustl Mollath).
prevent crimes? Social and economic consequences.
Surveillance, Cryptography, and Regulations
data, nudging.
networks (health: predict illnesses), can also be used to predict
behavior.
increase their security status (international trend).
(EU, some US states).
skin. AI training sets are mostly light-skinned.
racial bias, easy thing to give up (it’s commercialized already, see
ClearView AI).
Recognition Spiders (原谅宝官方 yuanliang bao guanfang,
https://pornstarbyface.com/, https://deepmindy.com/)
drone sector.
average joe is hard.
implementing cryptographic systems by people who are not specialized
in that, usually goes wrong. It’s really hard to build secure
cryptographic software, even with libraries out there, etc.
pharmarcies.
technology (regulating both components and knowledge).
prevented by total surveillance combined with AI. (Bostrom:
Vulnerable World Paper)
potentially threatening tech, without actually understanding or
knowing what this tech is.
life quality.
VR goggles on.
from getting anywhere in life.
access, social scoring systems (today mostly reactive).
bad, adjust access to technology. (Ender’s Game pilots)
licenses. Where does the reliability score come from? Future might
be more automated.
pilot and weapon licenses. If you have a lot of points, they won’t
give you the license.
needed.
deploying surveillance is cranked up.
neighborhoods, limit travel within city, using drones, using CCTV
cameras to check masks and temperature, booking details, location
tracking, etc.
pandemic.
huge population is going down.
grenade launchers, automatically engaged.
SGR-A1, Hankook Mirae Method-2?)
or flying into target.
weapon technology for killing people.
Section III Less Dystopian Side
Frank and Smuggler answering your questions!
their nym used in legal documents or at their work place? Is that a
realistic goal?
clandestine purchasing. For example, do 3D printers have hidden
tracking codes like paper printers? Discussing details on aquiring
something like this with a pre-paid credit card and how to ship it
to a non-attributate address would be cool.
shipments by mail. Not necessarily very illegal items, but maybe
items you just don’t want to receive at an attributable adress and
that are larger than what fits in a standard letterbox. How to
receive things in another name and where with the least amount of
trouble and risk?
drop-operations and otherwise? What methods are effective? How often
worn outside the TAZ?
OS?
proxy) has the most tactical technical capacity for attacks and
defense?
is outdated and US-centric. Are there more current and EU-centric
versions of the topic, how can I make my life as anonymous as
possible?
Minimum Wage Report
Reading Recommendations
978-0-465-05670-5
Hypothesis
Control Problem at the End of
History
Menschen
Discuss
We’re on bbs.anarplex.net with our own board to discuss!
Hosts
Contact
Snail mail
Bitstream
Scanbox #06965
Ehrenbergstr. 16a
10245 Berlin
Germany
Please send us feedback letters, postcards, and interesting books. You can also send us your dirty fiat by cash in the mail! We take all currencies.
Support
Please support Cypherpunk Bitstream by donating to:
Bitcoin: 38mzCtXHjgq6RusYQsFy2TQiLvLK7vN5JF (also via lightning network)
Bitcoin Cash: qrpwhtsag0u4rnuam9a5vwmqnly96znas5f5txjc35
Decred: Dsi9j7SdwZrHtCfUmxTNgpVGx2YAboZc7ve
Monero: 87UPx5sBS6g6wTvyRqqSMfFM6DzfHCPtFE25VC62vfohZVv4RRNcwif1XAPWTF27U1BKZEsrEXzDr6bMnGoTcThATvamE73
NEAR: bitstream.near
Zcash: t1ewcXqQ9Uog5gMYjeeV46WiWB5j2SwD9Sv