[PDF] Top 20 Efficiency of Svm and Pca to Enhance Intrusion Detection System

... misuse detection and anomaly detection. In misuse detection systems, use patterns of well-known attacks to match and identify known ...misuse detection techniques strength is their high degree ... See full document

... the efficiency of the proposed strategy, the system results were compared with some of the previous works in this ...the system is operating at constant switching frequency using the PWM modulator ... See full document

... COBRA is a risk analysis and assessment tool in compliance with BS7799 standard, which implements risk quantitative assessment methods and tools for consulting and safety reviews. COBRA uses the principles of building ... See full document

... users. The multicast implementation has many challenges such as managing and creating groups, managing the participants, media adaptation to meet the end user capabilities, and security. IGMP [2] and RGMP [3] are the ... See full document

... their system respond and other software need to use like mobile version, confluence need to improve their searching data result, source-tree need to improve their efficiency, chat-work to make their easier ... See full document

... The probability sampling method was used in this study, which based on random selection sample. The total of ICT enterprises in Uganda which has the right postal address is 112 [33]. According [34], the sample size must ... See full document

... The overall Trio-Security process is shown in Figure 6. It shows the objects, techniques and outputs of the Data Security process of securing the information transmitted across the network in mobile environment. As ... See full document

... reduction. PCA can be described as an “unsupervised” algorithm, since it “ignores” class labels and its goal is to find the directions (the so-called principal components) that maximize the variance in a ...to ... See full document

... Road color and texture, road boundaries, and lane markings are the main perceptual cues for human driving. Semi and fully autonomous vehicles are expected to share the road with human drivers and would therefore most ... See full document

... Enhanced solutions and results may emerge in image restoration using neural network (NN) because of its features, which are related to the parallel computing power and the plasticity of NN method. Owing to these two ... See full document

... The first step in data processing is to anonymize data to ensure data de-identification. The collected data usually include some personally and/or quasi identifiable information. Personally, identifiable information ... See full document

... There are several studies in Malaysia universities which tried to extend DeLone and McLeane (2003) Information System (IS) success model to exhaust factors which affect successfully e-learning systems’ adoption ... See full document

... According to the time domain as depicted in Figure 1, 10 consecutive sub-frames with 1 ms long for each form the physical frame structure of each CC. Furthermore, each sub-frame is splitted into equally 2 time slots ... See full document

... agent system which in this model, the driver’s and passenger’s interests are ...agent system is passenger’s maximum waiting time, driver’s maximum pickup and travel distances, and price ... See full document

... There was a paper used an algorithm that integrated fuzzy-c-mean (FCM) and region growing techniques to automatically segment tumor images from patients with meningioma. The study used non-contrasted T1- and T2-weighted ... See full document

... This paper mainly focused on cloud computing security issues. It is important to consider security and safety when utilizing cloud services. The study detailed some of the security challenges, such as information ... See full document

... the system reflects and is responsive to the needs of the company; the system reflects the principles of Knowledge Management, particularly the impetus for collaboration and communication; and the ... See full document

... The prioritized test cases were measured to prove their effectiveness to detect faults. In this study, the Average Percentage of Fault Detected (APFD) was applied. APFD represents the weighted average of the percentage ... See full document

... Traditional intrusion detection methods are mainly divided into anomaly detection and misuse ...maly detection mostly uses the expert experience and inference ...of intrusion ... See full document

... the system are equalized with output layers and processed ...proposed detection system frameworks were created, tested and compared with the output of ...NN, SVM, and RF. [48] highlight that ... See full document