The potential Behind the deceptive simplicity lies complexity. For any service to function, data is ne. A large amount of data is own by the state, and the state is not always in a hurry to share it. However, back in 2013, the consulting firm. McKinsey estimat the potential for economic development bas on the so-call “open data. Machine-readable, open state statistical and taxonomic data) at 3 trillion dollars.; on the scale. Russia, this is at least tens of billions of dollars in GDP growth, which cannot be neglect in the conditions of global economic instability.
Unfortunately, modern digital The potential
Technologies are developing so rapidly that their architects and developers forget to work out cybersecurity risks and implement effective measures to ruce them. How many times have problems been found in software – from the ukraine email list 808831 contact leads banal Heartble to the lack of any logging in accounting systems that take into account the supply of equipment for oil and gas giants worth billions of rubles.
Not everything is simple with open data cybersecurity either. At the request of the itors, the author conduct a high-level analysis of possible architectural solutions for open data portals, the corresponding risks and possible consequences.
Physically, two architecture options are possible:
Semi-automatic (semi-automatic) – data afb directory dumps are upload to the open data portal manually (via the web interface).
Real-time (real-time scale) – data is dynamically load from open data portals of government agencies or from other web services.
Semi-automatic architecture is expos to three risks:
Falsification of open data – by the art of these sales strategies hacking a portal, an attacker can falsify open data, thereby affecting the work of digital services that use it. The result is financial and social negative consequences, a decrease in trust in open data.
Fake portals – attackers can create fake open data portals, posing as a trust source for digital services. The result is the same – financial and social negative consequences, decreas trust in open data.