Tanzanian scepticism of a militarised East African Federation and underlying military concerns

Attitudes towards a regional military force are of paramount importance when exploring public support for regional integration. Until now, however, scholarly research has not considered the influence of attitudes towards a regional military mechanism in the sub-Saharan African context. Using Afrobarometer data, we demonstrate that military concerns are vital when exploring Tanzanian attitudes towards the proposed political federation of the East African Community (EAC), the East African Federation (EAF). More specifically, opposition to military cooperation strongly influences Tanzanian scepticism of the EAF. This finding is highly relevant given that referendums in the participating member states must be passed to facilitate political integration. Heightened opposition towards military cooperation raises the possibility of the public rejecting a politically integrated EAC. This poses a potential obstacle to the implementation of joint security policies and crucial mechanisms to provide a more stable region at large. We account for alternative explanations of Tanzanian opinion formation and reflect on the strength of military-orientated concerns for investigating public support for the East African project specifically and regional integration in sub-Saharan Africa more widely.

Power Spectral Density Side-Channel Attack Overlapping Window Method

Cryptographic algorithms have been designed to be computationally secure, however it has been shown that when they are implemented in hardware, that these devices leak side channel information that can be used to mount an attack that recovers the secret encryption key. In this paper an overlapping window power spectral density (PSD) side channel attack, targeting an FPGA device running the Advanced Encryption Standard is proposed. This improves upon previous research into PSD attacks by reducing the amount of pre-processing (effort) required. It is shown that the proposed overlapping window method requires less processing effort than that of using a sliding window approach, whilst overcoming the issues of sampling boundaries. The method is shown to be effective for both aligned and misaligned data sets and is therefore recommended as an improved approach in comparison with existing time domain based correlation attacks.