Edge-Computing with Graph Computation:A Novel Mechanism to Handle Network Intrusion and Address Spoofing in SDN

Software Defined Networking(SDN)being an emerging network control model is widely recognized as a control and management platform.This model provides efficient techniques to control and manage the enterprise network.Another emerging paradigm is edge computing in which data processing is performed at the edges of the network instead of a central controller.This data processing at the edge nodes reduces the latency and bandwidth requirements.In SDN,the controller is a single point of failure.Several security issues related to the traditional network can be solved by using SDN central management and control.Address Spoofing and Network Intrusion are the most common attacks.These attacks severely degrade performance and security.We propose an edge computing-based mechanism that automatically detects and mitigates those attacks.In this mechanism,an edge system gets the network topology from the controller and the Address Resolution Protocol(ARP)traffic is directed to it for further analysis.As such,the controller is saved from unnecessary processing related to addressing translation.We propose a graph computation based method to identify the location of an attacker or intruder by implementing a graph difference method.By using the correct location information,the exact attacker or intruder is blocked,while the legitimate users get access to the network resources.The proposed mechanism is evaluated in a Mininet simulator and a POX controller.The results show that it improves system performance in terms of attack mitigation time,attack detection time,and bandwidth requirements.

Two-Mode Biomedical Sensor Build-up:Characterization of Optical Amplifier

Intracavity absorption spectroscopy is a strikingly sensitive technique that has been integrated with a two-wavelength setup to develop a sensor for human breath.Various factors are considered in such a scenario,out of which Relative Intensity Noise(RIN)has been exploited as an important parameter to characterize and calibrate the said setup.During the performance of an electrical based assessment arrangement which has been developed in the laboratory as an alternative to the expensive Agilent setup,the optical amplifier plays a pivotal role in its development and operation,along with other components and their significance.Therefore,the investigation and technical analysis of the amplifier in the system has been explored in detail.The algorithm developed for the automatic measurements of the system has been effectively deployed in terms of the laser’s performance.With this in perspective,a frequency dependent calibration has been pursued in depth with this scheme which enhances the sensor’s efficiency in terms of its sensitivity.In this way,our investigation helps us in a better understanding and implementation perspective of the proposed system,as the outcomes of our analysis adds to the precision and accuracy of the entire system.

Outcomes of gout in patients with cirrhosis:A national inpatient sample-based study

BACKGROUND Hyperuricemia is a prerequisite for the development of gout.Elevated serum uric acid(UA)levels result from either overproduction or decreased excretion.A positive correlation between serum UA levels,cirrhosis-related complications and the incidence of nonalcoholic fatty liver disease has been established,but it is unknown whether hyperuricemia results in worsening cirrhosis outcomes.We hypothesize that patients with cirrhosis will have poorer gout outcomes.AIM To explore the link between cirrhosis and the incidence of gout-related complications.METHODS This was a cross-sectional study.The national inpatient sample was used to identify patients hospitalized with gout,stratified based on a history of cirrhosis,from 2001 to 2013 via the International Classification of Diseases,Ninth Revision,Clinical Modification codes.Primary outcomes were mortality,gout complications and joint interventions.Theχ^(2)test and independent t-test were performed to assess categorical and continuous data,respectively.Multiple logistic regression was used to control for confounding variables.RESULTS Patients without cirrhosis were older(70.37±13.53 years vs 66.21±12.325 years;P<0.05).Most patients were male(74.63%in the cirrhosis group vs 66.83%;adjusted P<0.05).Patients with cirrhosis had greater rates of mortality(5.49%vs 2.03%;adjusted P<0.05),gout flare(2.89%vs 2.77%;adjusted P<0.05)and tophi(0.97%vs 0.75%;adjusted P=0.677).Patients without cirrhosis had higher rates of arthrocentesis(2.45%vs 2.21%;adjusted P<0.05)and joint injections(0.72%vs 0.52%;adjusted P<0.05).CONCLUSION Gout complications were more common in cirrhosis.Those without cirrhosis had higher rates of interventions,possibly due to hesitancy with performing these interventions given the higher complication risk in cirrhosis.

Interpreting map usage patterns using geovisual analytics and spatiotemporal clustering

Extracting meaningful information from the growing quantity of spatial data is a challenge.The issues are particularly evident with spatio-temporal data describing movement.Such data typically corresponds to movement of humans,animals and machines in the physical environment.This article considers a special form of movement data generated through human–computer interactions with online web maps.As a user interacts with a web map using a mouse as a pointing tool,invisible trajectories are generated.By examining the spatial features on the map where the mouse cursor visits,a user’s interests and experience can be detected.To analyse this valuable information,we have developed a geovisual analysis tool which provides a rich insight into such user behaviour.The focus of this paper is on a clustering technique which we apply to mouse trajectories to group trajectories with similar behavioural properties.Our experiments reveal that it is possible to identify experienced and novice users of web mapping environments using an incremental clustering approach.The results can be used to provide personalised map interfaces to users and provide appropriate interventions for completing spatial tasks.