Application level intrusion detection systems usually rely on the immunological approach. In this approach, the application behavior is compared at runtime with a previously learned application profile of the sequence of system calls it is allowed to emit. Unfortunately, this approach cannot detect anything but control flow violation and thus remains helpless in detecting the attacks that aim p...

Fire behaviour models are used to assess the potential characteristics of wildland fires such as rates of spread, fireline intensity and flame length. These calculations help support fire management strategies while keeping fireline personnel safe. Live fuel moisture is an important component of fire behaviour models but the sensitivity of existing models to live fuel moisture has not been thor...

today, survival and value creation in organizations depend on creative and innovative thinking as well as understanding and utilization of environmental opportunities. this research attempts to introduce the organization behavioral barriers which affect the development of corporate entrepreneurship. first, with the views of different experts, various behavioral barriers of corporate entrepreneu...

BACKGROUND Behaviour change interventions are effective in supporting individuals in achieving temporary behaviour change. Behaviour change maintenance, however, is rarely attained. The aim of this review was to identify and synthesise current theoretical explanations for behaviour change maintenance to inform future research and practice. METHODS Potentially relevant theories were identified...

This paper describes a protocol detection using statistic information about a flow extended by packet sizes and time characteristics, which consist of packet inter-arrival times. The most common way of network traffic classification is a deep packet inspection (DPI). Our approach deals with the DPI disadvantage in power consumption using aggregated IPFIX data instead of looking into packet cont...

A new method of constructing classifiers from huge volume of temporal data is proposed in the paper. The novelty of introduced method lies in a multi-stage approach to constructing hierarchical classifiers that combines process mining, feature extraction based on temporal patterns and constructing classifiers based on a decision tree. Such an approach seems to be practical when dealing with hug...

Going all the way back to early time-sharing systems we systems people regarded the users, and any code they wrote, as the mortal enemies of us and each other. We were like the police force in a violent slum. — Roger Needham Microsoft could have incorporated effective security measures as standard, but good sense prevailed. Security systems have a nasty habit of backfiring and there is no doubt...

procrastination is one of the effective variablesin students' educational performance, therefore making it necessary to study it thoroughly. this study aims to investigate the effectiveness of cognitive-behavioral trainings in decreasing high school students'. this research employed a semi-experimental design with pre-test, post-test and control group. to fulfill 34 first year high sc...

background: functional dyspepsia and digestive disorders are common, debilitating and costly. little information about the role of stress management in terms of cognitive-behavioral treatment of dyspepsia is available. the purpose of this study is to investigate the effectiveness of cognitive-behavioral stress management on functional dyspepsia symptoms and quality of life in patients who refer...