Network traffic anomalies detection and characterization has been a hot topic of research for many years. Although the field is very advanced in the detection of network traffic anomalies, accurate automated classification is still a very challenging and unmet problem. This paper presents a new algorithm for automated classification of network traffic anomalies. The algorithm relies on three st...

In the theory of traffic flows the main characteristics are: intensity, speed, and density.  They make it possible to use hydrodynamic models. In connection with the development of modern highways and road networks, traffic flows behavior is becoming more and more complex and diverse. In particular, the B.Kerner studies have shown that the laminar solution of hydrodynamic models is poorly corre...

BGP, the de facto inter-domain routing protocol, is the core component of current Internet infrastructure. BGP traffic deserves thorough exploration, since abnormal BGP routing dynamics could impair global Internet connectivity and stability. In this paper, two methods, signature-based detection and statistics-based detection, are designed and implemented to detect BGP anomalous routing dynamic...

Roberto Natella Università degli Studi di Napoli Federico II, Italy ABSTRACT This paper proposes an approach to software faults diagnosis in complex fault tolerant systems, encompassing the phases of error detection, fault location, and system recovery. Errors are detected in the first phase, exploiting the operating system support. Faults are identified during the location phase, adopting o...

Design of a new intelligent driver assistance system based on traffic sign detection with Persian context is concerned in this paper. The primary aim of this system is to increase the precision of drivers in choosing their path with regard to traffic signs. To achieve this goal, a new framework that implements fuzzy logic was used to detect traffic signs in videos captured along a highway f...

vehicle detection and classification of vehicles play an important role in decision making for the purpose of traffic control and management.this paper presents novel approach of automating detecting and counting vehicles for traffic monitoring through the usage of background subtraction and morphological operators. We present adaptive background subtraction that is compatible with weather and ...

Collision detection and collision avoidance algorithms are necessary for accurate and realistic animation, but are presently implemented separately and independently. This is a disadvantage when designing some simulations or animations which would otherwise benefit from the availability of both algorithms during run-time. We propose a unified algorithm incorporating both collision detection and...

Traffic monitoring is carried out both manual and mechanically, and is subject to problems of subjectivity and high costs due to human errors. This study proposes a methodology to collect vehicle traffic data (counts, speeds, etc.) on video in an automated fashion, by means of object tracking techniques, which can help to design and implement reliable and accurate software. The development of t...

A security engine should detect network traffic attacks at line-speed. When an attack is detected, a good security engine should screen away the offending packets and continue to forward all other traffic. Anomaly detection engines must protect the network from new and unknown threats before the vulnerability is discovered and an attack is launched. Thus, the engine should integrate intelligent...