This paper presents Gimli, a 384-bit permutation designed to achieve high security with high performance across a broad range of platforms, including 64-bit Intel/AMD server CPUs, 64-bit and 32bit ARM smartphone CPUs, 32-bit ARM microcontrollers, 8-bit AVR microcontrollers, FPGAs, ASICs without side-channel protection, and ASICs with side-channel protection.

No abstract

There have been some efforts to apply agent based approaches in Wireless Sensor Networks (WSNs) for different application scenarios in recent past. These efforts have met with varying levels of success so far. However, the efforts to assess the suitability of Foundation for Intelligent Physical Agents (FIPA) compliant multiagent solutions for WSNs are almost non-existent. In this paper we present a scenario from an industrial domain and asses the suitability of a FIPA compliant multiagent based solution for it. The scenario is based on a WSN deployment in an underground mine where it could be put to use for several purposes like hazardous gas plume detection and tracking, mine lighting control, Proximate Environment Monitoring (PEM), structural health monitoring of mine structure, to name a few. However, we only consider the PEM usage scenario in this paper.

Clustering is a very popular network structuring technique which mainly addresses the issue of scalability in large scale

Abstract-In this paper we suggest a multiagent based middleware architecture that is particularly suitable for supporting wireless sensor network deployments in industrial environments like mines and chemical processing plants. Our intention is to make the proposed middleware architecture to be as closely aligned to the Foundation for Intelligent Physical Agents standards as possible. The existing agent based solutions for wireless sensor networks lack some important features that these standards mandate and thus reduce their interoperability with other existing or upcoming agent based systems. These standards that we choose for our middleware have the potential of providing a more reliable event reporting mechanism than the one supported by existing agent based middleware.