Technical perspective: When the adversary is your friend

The Trend Is Your (Imaginary) Friend - A Behavioral Perspective on Technical Analysis

Technical analysts, or chartists, aim at predicting future prices from past prices. To this end, for example, they draw resistance levels and Moving Average (MA) lines into stock price charts. We show that the widely employed MA cross-over rule is consistent with prospect theory preferences even when prices do not move in trends and when stock trading is unattractive to all rational expected ut...

The doctor-patient relationship: friend or adversary?

On the Evolution of Adversary Models in Security Protocols (or Know Your Friend and Foe Alike)

Discussion p. 60 PIN (and Chip) or Signature: Beating the Cheating? p. 69 Discussion p. 76 Insecure Real-World Authentication Protocols (or Why Phishing Is So Profitable) p. 82 Discussion p. 89 Authorisation Subterfuge by Delegation in Decentralised Networks p. 97 Discussion p. 103 Multi-channel Protocols p. 112 Discussion p. 128 Combining Crypto with Biometrics: A New Human-Security Interface ...

Value of a friend, a friend of your friend, and a friend of the friend of your friend: Social discounting in n degrees of separation

Jones and Rachlin (2008) found that the amount of money a person is willing to forgo in order to give $75 to another person decreased as a hyperbolic function of perceived social distance, in the same way as occurs in intertemporal choice. This study aimed to extend this finding to the domain of social networks, in which social distance is defined by degrees of separation. A total of 334 partic...

When Random Play is Optimal Against an Adversary

We analyze a sequential game between a Gambler and a Casino. The Gambler allocates bets from a limited budget over a fixed menu of gambling events that are offered at equal time intervals, and the Casino chooses a binary loss outcome for each of the events. We derive the optimal min-max strategies for both participants. We then prove that the minimum cumulative loss of the Gambler, assuming opt...