Threat (computer)

Summary

In computer security, a threat is a potential negative action or event facilitated by a vulnerability that results in an unwanted impact to a computer system or application. A threat can be either a negative "intentional" event (i.e. hacking: an individual cracker or a criminal organization) or an "accidental" negative event (e.g. the possibility of a computer malfunctioning, or the possibility of a natural disaster event such as an earthquake, a fire, or a tornado) or otherwise a circumstance, capability, action, or event. This is differentiated from a threat actor who is an individual or group that can perform the threat action, such as exploiting a vulnerability to actualise a negative impact. A more comprehensive definition, tied to an Information assurance point of view, can be found in "Federal Information Processing Standards (FIPS) 200, Minimum Security Requirements for Federal Information and Information Systems" by NIST of United States of America :Any circumstance or ev

Official source

https://en.wikipedia.org/wiki/Threat_(computer)

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Insular cortex processes aversive somatosensory information and is crucial for threat learning

Emmanuelle Marie Brigitte Berret, Michael Kintscher, Olexiy Kochubey, Denys Osypenko, Shriya Palchaudhuri, Ralf Schneggenburger, Wei Tang

Learning about threats is essential for survival. During threat learning, an innocuous sensory percept such as a tone acquires an emotional meaning when paired with an aversive stimulus such as a mild footshock. The amygdala is critical for threat memory formation, but little is known about upstream brain areas that process aversive somatosensory information. Using optogenetic techniques in mice, we found that silencing of the posterior insula during footshock reduced acute fear behavior and impaired 1- day threat memory. Insular cortex neurons respond to footshocks, acquire responses to tones during threat learning, and project to distinct amygdala divisions to drive acute fear versus threat memory formation. Thus, the posterior insula conveys aversive footshock information to the amygdala and is crucial for learning about potential dangers in the environment.

AMER ASSOC ADVANCEMENT SCIENCE2019

Insular cortex processes aversive somatosensory information and is crucial for threat learning (Retraction of Vol 364, Pg 850, 2019)

Emmanuelle Marie Brigitte Berret, Michael Kintscher, Olexiy Kochubey, Denys Osypenko, Shriya Palchaudhuri, Ralf Schneggenburger, Wei Tang

AMER ASSOC ADVANCEMENT SCIENCE2019

Optimal Symmetric Ratcheting for Secure Communication

Andrea Felice Caforio, Daniel Patrick Collins, Serge Vaudenay, Hailun Yan

To mitigate state exposure threats to long-lived instant messaging sessions, ratcheting was introduced, which is used in practice in protocols like Signal. However, existing ratcheting protocols generally come with a high cost. Recently, Caforio et al. proposed pragmatic constructions, which compose a weakly secure 'light' protocol and a strongly secure 'heavy' protocol, in order to achieve so-called ratcheting on-demand. The light protocol they proposed has still a high complexity. In this paper, we propose the lightest possible protocol we could imagine, which essentially encrypts and then hashes the secret key. We prove it secure in the standard model by introducing a new security notion, which relates symmetric encryption with key updates by hashing. Our protocol composes well with the generic transformation techniques by Caforio et al. to offer high security and performance at the same time. In a second step, we propose another protocol based on a newly defined integrated primitive, extending standard one-time authenticated encryption with an additional output block used as a secret key for the next message. We instantiate this primitive firstly from any authenticated encryption with associated data, and then we propose an efficient instantiation using advanced encryption standard (AES) encryption to update the key and AES-Galois/Counter mode of operation to encrypt and decrypt messages.

OXFORD UNIV PRESS2022