This paper outlines the generalized framework for building end-to-end botnet network activity detection systems using artificial intelligence (AI) techniques. The describes flows reconstruction as a primary feature-extraction method and considers different AI classifiers achieving better rate. results of latest research by other authors in field are incorporated to implement more efficient appr...

One of the important problems that urban residents suffer from is Traffic Congestion. It makes their life more stressful, it impacts several sides including economy: by wasting time, fuel and productivity. Moreover, psychological physical health. That road authorities required to find solutions for reducing traffic congestion guaranteeing security safety on roads. To this end, detecting users i...

<span lang="EN-US">The detection of object with respect to Vehicle and tracking is the most needed step in computer research area as there wide investment being made form Intelligent Traffic Management. Due changes vision or scenes, vehicle under different drastic conditions has become challenging process because illumination, shadows etc. To overcome this, we propose a method which uses ...

Over the last three decades, global population of human beings has increased at an exponential rate, resulting in equal rise number vehicles owned and used globally. Vehicle traffic is a major economic component both urban rural areas, it requires proper management monitoring to ensure that this mass coexists as smoothly possible. The amount vehicular on roads around world, with Nigeria case st...

Anomaly detection remains a poorly understood area where visual inspection and manual analysis play a significant role in the effectiveness of the detection technique. We observe traffic anomalies in two adjacent networks, namely GEANT and Abilene, in order to determine what parameters impact the detectability and the characteristics of anomalies. We correlate three weeks of traffic and routing...