Abstract: Both image steganography and image encryption have
advantages and disadvantages. Steganograhy allows us to hide a
desired image containing confidential information in a covered or
host image while image encryption is decomposing the desired image
to a non-readable, non-comprehended manner. The encryption
methods are usually much more robust than the steganographic ones.
However, they have a high visibility and would provoke the attackers
easily since it usually is obvious from an encrypted image that
something is hidden! The combination of steganography and
encryption will cover both of their weaknesses and therefore, it
increases the security. In this paper an image encryption method
based on sinc-convolution along with using an encryption key of 128
bit length is introduced. Then, the encrypted image is covered by a
host image using a modified version of JSteg steganography
algorithm. This method could be applied to almost all image formats
including TIF, BMP, GIF and JPEG. The experiment results show
that our method is able to hide a desired image with high security and
low visibility.
Abstract: In this paper I have developed a system for evaluating
the degree of fear emotion that the intelligent agent-based system
may feel when it encounters to a persecuting event. In this paper I
want to describe behaviors of emotional agents using human
behavior in terms of the way their emotional states evolve over time.
I have implemented a fuzzy inference system using Java
environment. As the inputs of this system, I have considered three
parameters related on human fear emotion. The system outputs can
be used in agent decision making process or choosing a person for
team working systems by combination the intensity of fear to other
emotion intensities.