3DSVAT: A 3D Stereoscopic Vulnerability Assessment Tool for network security

The modern world technology is civilized, globalized and modernized. The technological development of social networks and e-commerce applications produce larger data. This data communication is major task, because device to device communication need network terminal. This data transmission is not safe because of different types of tools and software available to destroy the existing network. In the field of network security during data transfer from one particular node to other node some security vulnerability is happened this is the one of the critical issue in this sector. The reason for this network security is different types of data attacks are happen in day to day life. It is easy to establish a new network but protecting the entire network is a big issue. This network security is generally two parameter first one is communication and second one is data automation. The network security field is directly or indirectly linked with the concept of data encryption. The development in this network security has taken us to a level that from signature again we came back to thumb print. For example maintain the data secure we use the lock system which is a finger print type. This technology helps us to protect the physical data theft, but logical data theft is still problem for data transmission. This article will brief about the network security it also presents the various network security types. Those types are wired and wireless network security. Apart from the network security the following topics is also discussed in this article. Those are network security protocols and simulation tools in network security. The research problems in network security are privacy and vulnerability of data.

Objective: The objective of this study is to compare the use of three-dimensional (3D) vision systems with traditional two-dimensional systems in laparoscopic urological surgery, analyzing the benefits, limitations, and impact of introducing this medical technology with regard to surgical performance and the surgeon's ergonomics. Methods: A systematic review with a structured bibliographic search was conducted in the electronic libraries (PubMed and EMBASE) until August 2019 and with no language restrictions. Studies on 3D visualization technology in laparoscopic urologic surgery, randomized controlled trials, and observational comparative studies were included. Relevant data were extracted and analyzed. Results: A total of 25 articles were obtained, of which 4 were clinical studies with patients, 2 studies were carried out in experimental animal models, and the remaining 19 were conducted in simulated environments. Regarding the European training program in basic laparoscopic urological skills, the results showed no significant differences in execution time using either imaging system. Three-dimensional vision led to a significant reduction in surgery time in pyeloplasty and radical nephrectomy. In addition, there was a reported decrease in blood loss in adrenalectomy, nephron-sparing nephrectomy, radical nephrectomy, simple nephrectomy, and pyeloplasty using 3D vision. Regarding ergonomics, the studies generally described no differences in side effects (headache, nausea, eye strain) when comparing the two types of visualization systems. Surgeons reported reduced workloads and stress with 3D vision than with traditional laparoscopy. Conclusions: Three-dimensional laparoscopic systems essentially advance surgical performance in less-experienced laparoscopic surgeons. Three-dimensional laparoscopy leads to improvements in surgery time, which is important for specific surgical procedures involving intracorporeal ligatures and sutures. The results achieved on the surgeons' ergonomics showed better depth perception and decreased stress and workloads during 3D vision with no differences in potential side effects.

The aim of this study was to quantitatively investigate the impact of stereoscopic three-dimensional (3D) vision on students' performance when compared with that of two-dimensional (2D) vision in a 3D virtual reality (VR) simulator. Twenty-four dental students (second- and fourth-year BDS) were assigned to perform three operative tasks under 3D and 2D viewing conditions on a Virteasy (HRV) simulator. Groups were crossed over and all students performed the same tasks under the alternate viewing conditions. The performance was evaluated by (1) accuracy, (2) outside target area removal, and (3) tooth cutting time, automatically using the generated feedback. Twenty-one participants completed all sessions. The results revealed a statistically significant effect of 3D vision over 2D vision on students' performance in terms of accuracy (p=0.035). Stereoscopic 3D vision showed significant effect on outside target area removal in the first task (p=0.035). Tooth cutting time was the same under both conditions (p=0.766). The findings revealed improvement in accuracy score and reduction in outside target area removal over the course of the experiment under both conditions. Comparing the difference in 3D effect in the early and advanced learning groups revealed no significant difference among the groups (p>0.05). Utilizing stereoscopic 3D vision in the training session improved students' perception of depth which led to more accurate tooth cutting within the target area, and less outside target area removal. However, 3D shows a limited impact on task completion time.

Binocular disparity provides one of the important depth cues within stereoscopic three‐dimensional (3D) visualization technology. However, there is limited research on its effect on learning within a 3D augmented reality (AR) environment. This study evaluated the effect of binocular disparity on the acquisition of anatomical knowledge and perceived cognitive load in relation to visual‐spatial abilities. In a double‐center randomized controlled trial, first‐year (bio)medical undergraduates studied lower extremity anatomy in an interactive 3D AR environment either with a stereoscopic 3D view (n = 32) or monoscopic 3D view (n = 34). Visual‐spatial abilities were tested with a mental rotation test. Anatomical knowledge was assessed by a validated 30‐item written test and 30‐item specimen test. Cognitive load was measured by the NASA‐TLX questionnaire. Students in the stereoscopic 3D and monoscopic 3D groups performed equally well in terms of percentage correct answers (written test: 47.9 ± 15.8 vs. 49.1 ± 18.3; P = 0.635; specimen test: 43.0 ± 17.9 vs. 46.3 ± 15.1; P = 0.429), and perceived cognitive load scores (6.2 ± 1.0 vs. 6.2 ± 1.3; P = 0.992). Regardless of intervention, visual‐spatial abilities were positively associated with the specimen test scores (η2 = 0.13, P = 0.003), perceived representativeness of the anatomy test questions (P = 0.010) and subjective improvement in anatomy knowledge (P < 0.001). In conclusion, binocular disparity does not improve learning anatomy. Motion parallax should be considered as another important depth cue that contributes to depth perception during learning in a stereoscopic 3D AR environment.

Stereoscopic 3D (S3D) geometric distortions can be introduced by mismatches among image capture, display, and viewing configurations. In previous work of S3D geometric models, geometric distortions have been analyzed from a third-person perspective based on the binocular depth cue (i.e., binocular disparity). A third-person perspective is different from what the viewer sees since monocular depth cues (e.g., linear perspective, occlusion, and shadows) from different perspectives are different. However, depth perception in a 3D space involves both monocular and binocular depth cues. Geometric distortions that are solely predicted by the binocular depth cue cannot describe what a viewer really perceives. In this paper, we combine geometric models and retinal disparity models to analyze geometric distortions from the viewer's perspective where both monocular and binocular depth cues are considered. Results show that binocular and monocular depth-cue conflicts in a geometrically distorted S3D space. Moreover, user-initiated head translations averting from the optimal viewing position in conventional S3D displays can also introduce geometric distortions, which are inconsistent with our natural 3D viewing condition. The inconsistency of depth cues in a dynamic scene may be a source of visually induced motions sickness.

Three‐dimensional (3D) vision in augmented reality (AR) displays can enable highly immersive and realistic viewer experience, hence attracts much attention. Most current approaches create 3D visions by projecting stereoscopic images to different eyes using two separate projection systems, which are inevitably bulky for wearable devices. Here, we propose a compact stereo waveguide AR display system using a single piece of thin flat glass integrated with a polarization‐multiplexed metagrating in‐coupler and two diffractive grating out‐couplers. Incident light of opposite circular polarization states carrying stereoscopic images are first steered by the metagrating to opposite propagation directions in the flat glass waveguide, subsequently extracted by the diffractive gratings and finally received by different eyes, forming 3D stereo vision. Experimentally we fabricated a display prototype and demonstrated independent projection of two polarization‐multiplexed stereoscopic images. This work paves a novel path towards the implementation of high‐performance stereo displays with compact size, light weight, and multi‐color compatibility.

The current fast growing use of the Internet for commercial transactions has created large demands for data protection and network security. IPsec standard and protocols address these demands by providing different mechanisms to ensure integrity, privacy, and authentication of data when it is transmitted, or accessed, via the IP network. Encryption algorithms are by far the most important tools for network and communication security in the IPSec standard. This paper presents a summary of our work to design an efficient implementation of Rijndael algorithm. Rijndael is the new Advanced Encryption Standard adopted by the National Institute of Standards and Technology (NIST). Two different hardware implementations are presented and analyzed. In the first approach, only one lookup table is used to implement the S-Box that performs substitution for all round transformations, which is the bottleneck in the Rijndael algorithm. To achieve optimum speed of data encryption in the feedback mode, access to S-Box is pipelined between rounds. The second realization is based on systolic architecture where sets of Interconnected cells are performing intermediate round transformations. Each cell consists of an S-Box instance with a small combinational circuit to run the round transformation. Verilog design code were developed and synthesized for both implementations, then compared to the existing hardware implementations. It is found that our implementation using standard cell libraries provides much faster encryption rate compared to the reported FPGA and software approach hence it can be deployed in high-speed optical networks.

This study explores the influence of stereoscopic (real) 3D and monoscopic (pseudo) 3D visualization on the human ability to reckon altitude information in noninteractive and interactive 3D geovisualizations. A two phased experiment was carried out to compare the performance of two groups of participants, one of them using the real 3D and the other one pseudo 3D visualization of geographical data. A homogeneous group of 61 psychology students, inexperienced in processing of geographical data, were tested with respect to their efficiency at identifying altitudes of the displayed landscape. The first phase of the experiment was designed as non-interactive, where static 3D visual displayswere presented; the second phase was designed as interactive and the participants were allowed to explore the scene by adjusting the position of the virtual camera. The investigated variables included accuracy at altitude identification, time demands and the amount of the participant’s motor activity performed during interaction with geovisualization. The interface was created using a Motion Capture system, Wii Remote Controller, widescreen projection and the passive Dolby 3D technology (for real 3D vision). The real 3D visual display was shown to significantly increase the accuracy of the landscape altitude identification in non-interactive tasks. As expected, in the interactive phase there were differences in accuracy flattened out between groups due to the possibility of interaction, with no other statistically significant differences in completion times or motor activity. The increased number of omitted objects in real 3D condition was further subjected to an exploratory analysis.

Advanced 3D mobile devices attract a lot of attentions for 3D visualization nowadays. Stereoscopic images and video taken from the 3D mobile devices are uncomfortable for 3D viewing experiences due to the limited hardware for stereoscopic 3D stabilization. The existing stereoscopic 3D stabilization methods are computationally inefficient for the 3D mobile devices. In this paper, we point out that the above critical issue deteriorates the 3D viewing experiences on the 3D mobile devices. To improve visual comfort, we propose an efficient and effective algorithm to stabilize the stereoscopic images and video for the 3D mobile devices. To rectify the video jitter, we use the gyroscope and accelerometer embedded on the mobile devices to obtain the geometry information of the cameras. Different from video-content-based motion estimation, our algorithm based on the gyroscope and acceleration data can achieve higher accuracy to effectively stabilize the video. Therefore, our approach is robust in video stabilization even under poor lighting and substantial foreground motion. Our algorithm outperforms previous approaches in not only smaller running time but also the better comfort of the stereoscopic 3D visualization for the 3D mobile devices.

Three-dimensional (3D) imaging systems are being researched extensively for purposes of sensing and visualization in fields as diverse as defense, medical, art, and entertainment. When compared to traditional 2D imaging techniques, 3D imaging offers advantages in ranging, robustness to scene occlusion, and target recognition performance. Amongst the myriad 3D imaging techniques, 3D multiperspective imaging technologies have received recent attention due to the technologies’ relatively low cost, scalability, and passive sensing capabilities. Multiperspective 3D imagers collect 3D scene information by recording 2D intensity information from multiple perspectives, thus retaining both ray intensity and angle information. Three novel developments in 3D sensing, imaging, and visualization systems are presented: 3D imaging with axially distributed sensing, 3D optical profilometry, and occluded 3D object tracking.

Light field displays offer glasses-free 3D visualization, as observers do not need any viewing device to see the content in 3D. The angular resolution of such displays not only determines the achievable smoothness of the parallax effect, but also shapes the valid viewing area of light field visualization; higher angular resolutions support greater viewing distances. Therefore, the binocular disparity of a light field display with a given angular resolution lessens, fades away as the viewing distance increases, and the once true 3D visualization slowly becomes perceptually equivalent to a common 2D projection. However, as the current use case scenarios of light field technology define relatively close observations, this topic is rather under-investigated. In this paper, we address the binocular disparity of projection-based light field displays. The results of objective and subjective studies are presented, in which multiple viewing distances were used to evaluate binocular disparity. Beyond the separate models, the paper analyzes the correlations between them and discusses potential applications for future use cases.

In software design, physical CRC cards (Classes – Responsibilities - Collaborators) is a well-known method for rapid software-design prototyping, heavily relying on visualization and metaphors. The method is commonly applied with heuristics for encoding design semantics or denoting architectural relationships, such as card coloring, size variations and spatial grouping. Existing software-design tools are very weak in terms of interactivity, immersion and visualization, focusing primarily on detailed specification and documentation. We present a tool for visual prototyping of software designs based on CRC cards offering: 3d visualizations with zooming and panning, rotational inspection and 3d manipulators, with optional immersive navigation through stereoscopic views. The tool is accompanied with key encoding strategies to represent design semantics, exploiting spatial memory and visual pattern matching, emphasizing highly interactive software visualizations.

The implementation of telemanipulator systems for cardiac surgery enabled heart surgeons to perform delicate minimally invasive procedures with high precision under stereoscopic view. At present, commercially available systems do not provide force-feedback or Cartesian control for the operating surgeon. The lack of haptic feedback may cause damage to tissue and can cause breaks of suture material. In addition, minimally invasive procedures are very tiring for the surgeon due to the need for visual compensation for the missing force feedback. While a lack of Cartesian control of the end effectors is acceptable for surgeons (because every movement is visually supervised), it prevents research on partial automation. In order to improve this situation, we have built an experimental telemanipulator for endoscopic surgery that provides both force-feedback (in order to improve the feeling of immersion) and Cartesian control as a prerequisite for automation. In this article, we focus on the inclusion of force feedback and its evaluation. We completed our first bimanual system in early 2003 (EndoPAR Endoscopic Partial Autonomous Robot). Each robot arm consists of a standard robot and a surgical instrument, hence providing eight DOF that enable free manipulation via trocar kinematics. Based on the experience with this system, we introduced an improved version in early 2005. The new ARAMIS system (Autonomous Robot Assisted Minimally Invasive Surgery) has four multi-purpose robotic arms mounted on a gantry above the working space. Again, the arms are controlled by two force-feedback devices, and 3D vision is provided. In addition, all surgical instruments have been equipped with strain gauge force sensors that can measure forces along all translational directions of the instrument's shaft. Force-feedback of this system was evaluated in a scenario of robotic heart surgery, which offers an impression very similar to the standard, open procedures with high immersion. It enables the surgeon to palpate arteriosclerosis, to tie surgical knots with real suture material, and to feel the rupture of suture material. Therefore, the hypothesis that haptic feedback in the form of sensory substitution facilitates performance of surgical tasks was evaluated on the experimental platform described in the article (on the EndoPAR version). In addition, a further hypothesis was explored: The high fatigue of surgeons during and after robotic operations may be caused by visual compensation due to the lack of force-feedback (Thompson, J., Ottensmeier, M., &amp; Sheridan, T. 1999. Human Factors in Telesurgery, Telmed Journal, 5 (2) 129–137.).

Using a pedagogic case study of development of three dimensional (3D) stereo visualization suite, in this chapter, the authors exemplify the emerging paradigm shift of educational technology progressively from simulation to virtual reality (VR). The authors present the transformation of higher education archetypes using VR, which is poised to create a whole new meaning for the young learners. It mainly personifies the computer-generated three-dimensional environments that give the viewer an intense feeling of being immersed in an artificial world. The authors clearly demonstrate exploiting a 3D stereo visualization system in learning environment for bringing in an experiential learning experience of real industrial scenario in the classroom itself. They present the design and development of 3D visualization tool that embodies complex datasets in virtual environment. Thus, the chapter epitomizes the significance of VR in edification that impacts creative learning without using real tools on a less sophisticated technological platform.

Data centres in contemporary times are essential as the supply of data increases. Data centres are areas where computing systems are concentrated for facilitating data processing, transfer and storage. At present, traditional data centres have moved more towards the cloud model—thereby making the processing, storage and harnessing of data more manageable and more accessible via the utility and subscription-based model of computing services. From the administrative point of view, cloud data centres are complex systems and hard to grasp and require large amounts of time to analyse different aspects of the cloud data centre such as maintenance and resource management. For a cloud data centre admin, this could be a challenging problem and a highly time-consuming task. Accordingly, there is a need to improve the useability of cloud data centre monitoring and management tools, and the digital twin could fulfil this need. This book chapter’s primary objective is to construct a digital twin—a 3D visualisation and monitoring tool—of a cloud data centre managed by OpenStack, the well-known open-source cloud computing infrastructure software. To evaluate our proposed tool, we garner feedback on the digital twin’s useability compared to the OpenStack dashboard. The input will be received from cloud data centre experts as they test the digital twin and answer various questions in an interview. The study results show that our proposed digital twin will help data centre admins better monitor and manage their data centres. It will also facilitate further research and implementation of the digital twin of data centres to improve usability.KeywordsCloud data centreDigital twinOpenStackVisualisationMonitoringResource management