Ransomware is a growing concern in business and government because it causes immediate financial damages or loss of important data. There is a way to detect and block ransomware in advance, but evolved ransomware can still attack while avoiding detection. Another alternative is to back up the original data. However, existing backup solutions can be under the control of ransomware and backup copies can be destroyed by ransomware. Moreover, backup methods incur storage and performance overhead. In this article, we propose AMOEBA, a device-level backup solution that does not require additional storage for backup. AMOEBA is armed with: 1) a hardware accelerator to run content-based detection algorithms for ransomware detection at high speed and 2) a fine-grained backup control mechanism to minimize space overhead for data backup. For evaluations, we not only implemented AMOEBA using the Microsoft solid-state drive (SSD) simulator but also prototyped it on the OpenSSD-platform. Our extensive evaluations with real ransomware workloads show that AMOEBA has high ransomware detection accuracy with negligible performance overhead.

Tactile interaction is at the heart of human-robot relationships. The physical presence of the robot is what distinguishes human-robot interaction from human-virtual agent interaction. Although first attempts for tactile human-robot interaction have been made, robots are still far inferior to the abilities of humans in providing tactile experiences. This study investigates if a head massage given by others is more pleasurable than a massage given oneself and if a simple robot is significantly worse in giving a head massage. Furthermore we investigate if the physical experience with a robot changes the participants' attitudes towards robots. We ran a within-participants experiment with 18 subjects. The results show that receiving a massage by a human masseur is significantly more enjoyable than receiving it by a robot or by oneself. However, the participants displayed significantly more facial expressions of happiness in the robot condition. The participants did not significantly change their attitudes towards robots due their experience with the robot. We conclude that a robotic massage is a promising field for human robot interaction for further investigation.

This paper presents the design and implementation of a telepresence system, where a mobile manipulator robot is utilized to explore a museum at a remote site, sending live video and audio on demand to a user at the local site. The user's sense of presence is also enhanced through the capability to manipulate objects remotely via the robot gripper. The display system is a television display system that can be worn like a pair of glasses. The head movements of the user are monitored using color tracking, and the displayed images are updated accordingly. This is achieved by interpreting the human head movements and transforming them into control signals for the robot and its mounted color camera. Novel features of the presented system include: utilization of human implicit commands, availability and cost-effectiveness of the system, feeling of presence, and intelligence fusion of the human user with robot's intelligence. The new version of the telepresence system that is currently under development is also presented.