The prevalence of botnets, which is defined as a group of infected machines, have become the predominant factor among all the internet malicious attacks such as DDoS, Spam, and Click fraud. The number of botnets is steadily increasing, and the characteristic C&C channels have evolved from IRC to HTTP, FTP, and DNS, etc., and from the centralized structure to P2P and Fast Flux Network Services. ...

Malware is a pervasive problem in distributed computer and network systems. Identification of malware variants provides great benefit in early detection. Control flow has been proposed as a characteristic that can be identified across variants, resulting in flowgraph based malware classification. Static analysis is widely used for the classification but can be ineffective if malware undergoes a...

Manual fingerprint classification proceeds by carefully inspecting the geometric characteristics of major ridge curves in a fingerprint image. We propose an automatic approach of identifying the geometric characteristics of ridges based on curves generated by the orientation field called orientation field flow curves (OFFCs). The geometric characteristics of OFFCs are analyzed by studying the i...

Oscillation of the cerebral blood flow (CBF) is a feature in several physiological or pathophysiological states of the brain. In order to distinguish between different physiological states, two different classification methods have been developed; a Radial Basis Function based Neural Network and a Support Vector Classifier with Gaussian kernel. In order to describe the temporal blood flow patte...

We describe a system that employs the use of an omnidirectional camera in tandem with a pan-tilt-zoom (PTZ) camera in order to characterize traffic flows, analyze vehicles, and detect and capture anomalous behaviors. The framework is such that we can generate long-term statistics of traffic patterns while still monitoring unusual activity, even apart from the traffic zone. We use the PTZ in con...

High-speed packet classification is crucial to the implementation of several advanced network services and protocols; many QoS implementations, active networking platforms, and security devices (such as firewalls and intrusion-detection systems) require it. But performing classification on multiple fields, at the speed of modern networks, is known to be a difficult problem. The Recursive Flow C...

In QoS-aware networks, such as DiffServ-enabled IP networks, UMTS, or IEEE 802.11e, the QoS-aware applications that run over them can identify service classes to their flows. The flows are then treated by the networks differently with respect to their classes. In contrast, legacy applications are not aware of the concept of QoS and do not specify any classes to their flows. Thus they cannot ben...

Polarisation of polymorphonuclear leukocytes (PMN) in suspension was assessed using three techniques: 1) visual classification; 2) computerised morphometry; and 3) flow cytometry. While visual classification detected the formation, polarisation and type of cytoplasmic extensions produced by PMN, morphometry and flow cytometry detected only the formation of extensions. The area, perimeter and el...

This is a descriptive, exploratory study correlating ML Flow, bacilloscopy and classification of paucibacillary (PB) and multibacillary (MB), involving 1,041 new leprosy cases in 13 municipalities of Minas Gerais State, from October 2002 to March 2004. Agreement between ML Flow and the classification of the number of skin lesions and bacilloscopy was moderate (K:0.51 and K:0.48, respectively); ...