Securing Ambient Agents Groups by Using Verification, Judgment and Surveillance

Abstract

Ubiquitous computing and ambient intelligence (or AmI) models raise the need for secured systems, due to increased heterogeneity, intelligence and dynamism. Information in such environments is managed by systems formed mostly of devices with limited capabilities. Indeed, AmI characteristics, difficult to handle by traditional computing concepts, are making the agent paradigm to gain impetus and increasing the interest of researchers and industry in this concept. However, the inherent complexity of information security is bigger in agent-based AmI systems built by gathering distributed information and services that are not under the control of a single entity, and introduce new security and privacy concerns. In fact, securing these systems requires protecting any element from every other. This paper proposes a mechanism for enhancing security and privacy while using agents in AmI environments, based on three main building blocks: verification, judgment and surveillance. Furthermore, the key idea is based on cooperation and collective decision.

SLEPX: An Efficient Lightweight Cipher for Visual Protection of Scalable HEVC Extension

“…However, even if the configuration of the wireless packet sizes can be intelligently managed [13] such schemes lack protection of content, for which the proposal herein could be a solution. Added to that distributed management of such streaming and its protection might become advantageous, allowing lightweight encryption protection of the streamed video, with the degree of protection according to local device capability arranged intelligently [14]. Thus, encryption stands in the way of unlawful or illicit access to a video server's content and also shields the video stream during transmission over the Internet.…”