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In the film industry, many tricks have been employed using the integration of a 3D object with a real actor. Usually, attaching a 3D object with a real actor is a costly process because of the usage of an expensive motion capture system. This paper presents a system using a medium-cost motion capture system and a chroma-keying technique for generating a video footage of an actor with an integrated 3D object (e.g. amputated arm). The result of the proposed system shows the attaching process of different 3D objects with a real actor who is combined with a new background scene in the same viewpoint.

Mobile ad hoc network (MANET) is vulnerable to many types of routing attacks due to its dynamic topology and the collaboration of MANET nodes in finding routing paths. The wormhole attack is considered one of the most threatening attacks. The most popular MANET routing protocols such as ad hoc on demand distance victor (AODV) are vulnerable to this security threat. In this paper, a lightweight technique is proposed to detect and prevent wormhole attacks in AODV using a mobile reliable backbone network. The backbone network monitors the behavior of MANET nodes to judge their reliability. The simulation results using NS2 show that the proposed technique can efficiently prevent wormhole attacks.

Mobile ad hoc network (MANET) has a distributed and uncontrolled nature in which all nodes are considered trusted and contribute in the route discovery process. Accordingly, MANET is vulnerable to many types of routing attacks. One of the most popular MANET routing protocol that is vulnerable to different attacks is ad hoc on demand distance vector (AODV) routing protocol. In this paper, a mobile backbone network of trusted nodes is proposed to enhance AODV security with minimum overhead. The proposed backbone network does not violate the MANET mobility characteristic. It is constructed from randomly moving regular MANET nodes based on their trust value, location, and power. The backbone network monitors regular nodes as well as each other to periodically estimate monitoring trust values which represent the reliability of each node in the network. The simulation results show that the backbone network is trustable, has dynamic behavior, and has good coverage.

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