基于机器学习的网页木马识别方法研究

网页木马程序的加壳和混淆机制使得静态分析遇到困难,而动态分析又有不能穷尽所有执行路径这一问题。文章提出了一种基于机器学习的网马识别方法,提取Url和网马场景的特征,并把Url打上类别标记,对训练数据进行分类模型建构并做了预测实验,取得了比较好的实验效果。

网马EXP的保护与破解

一个网马EXP的发现到被大量传播是很迅速的．这主要是由于网马EXP能够被轻易的暴露在外。网马的EXP要在浏览器中执行．我们只要查看源代码就可以看到网马的EXP。虽然一般都是加密了的．但我们只要把里面的EXP解密一下就可以了。更高明一点的就是JS挂马、CSS挂马、多级域名中转．但我们只要仔细的慢慢分析．就会找到EXP的地址．知道了EXP的地址．

DIY网马分析工具

在网马盛行的这个时代，Anti Virus也成为黑客的必修课了，因为有攻就有防嘛。现在的一些玩黑的家伙非常不厚道，拿了站之后就挂上一串的ActiveX网马，纯粹为了利益才去研究技术。好了，不说多废话了，今天我给大家带来的是网页源代码和ShellCode解密工具的编写方法，主要给大家加加油。

用于钢管连续退火的贯通马弗网带式炉

我国热处理行业广泛应用的有马弗网带式电阻炉,依其马弗结构的不同可分成三种基本类型:贯通马弗网带炉,多用于退火与正火;异型马弗网带炉,主要用于淬火;桥式(又称驼背式)马弗网带炉,用于钎焊。

Speed Control of Travelling Wave Type Ultrasonic Motors Using Artificial Neural Network

Ultrasonic motor (USM) is a newly developed motor, and it has some excellent performances and useful features, therefore, it has been expected to be of practical use. However, the driving principle of USM is different from that of other electromagnetic type motors, and the mathematical model is complex to apply to motor control. Furthermore, the speed characteristics of the motor have heavy nonlinearity and vary with driving conditions. Hence, the precise speed control of USM is generally difficult. This paper proposes a new speed control scheme for USM using an artificial neural network. An accurate tracking response can be obtained by random initialization of the weights of the network owing to the powerful on line learning capability. Two prototype ultrasonic motors of travelling wave type were fabricated, both having 100 mm outer diameters of stator and piezoelectric ceramic. The usefulness and validity of the proposed control scheme are examined in experiments.

An Optimized Vertical Handoff Algorithm Based on Markov Process in Vehicle Heterogeneous Network

In order to solve the problem the existing vertical handoff algorithms of vehicle heterogeneous wireless network do not consider the diversification of network's status, an optimized vertical handoff algorithm based on markov process is proposed and discussed in this paper. This algorithm takes into account that the status transformation of available network will affect the quality of service(Qo S) of vehicle terminal's communication service. Firstly, Markov process is used to predict the transformation of wireless network's status after the decision via transition probability. Then the weights of evaluating parameters will be determined by fuzzy logic method. Finally, by comparing the total incomes of each wireless network, including handoff decision incomes, handoff execution incomes and communication service incomes after handoff, the optimal network to handoff will be selected. Simulation results show that: the algorithm proposed, compared to the existing algorithm, is able to receive a higher level of load balancing and effectively improves the average blocking rate, packet loss rate and ping-pang effect.

Plurk Politics Micro-Blogging Is Changing Political Communication in Taiwan

The use of social media in political communication has demonstrated its significance by the example of Arab Spring and the 2008 US presidential election, but its role in non-western democratic countries like Taiwan has rarely been examined. Micro-blogs share some characteristics with other types of social media but operate in a lighter way that has made it more and more popular among Internet users. Most researchers focus on the better-known Twitter, however, Plurk has found a niche and becomes the leading type of micro-blog in Taiwan and many politicians enjoy using it for political communication. This study seeks to answer the question ＂What patterns do Taiwan Residents politicians exhibit when utilizing Plurk？＂. By combining Habermasian communicative action theory and Foot and Schneider＇s Web Sphere, this research attempts to form a theoretical framework for micro-blogs. In-depth interviews were conducted with Taiwan Residents politicians at various levels and it was discovered that the broad pattern of political communication via Plurk may be characterised in Habermasian terms as strategic, through information broadcasting, public opinion formation, and political mobilization. In addition, this research shows that Taiwan Residents politicians use Plurk to gather information and ideas in exchanges which have dialogic elements.

Traffic Characteristics Based Dynamic Radio Resource Management in Heterogeneous Wireless Networks

The traffic with tidal phenomenon in Heterogeneous Wireless Networks(HWNs)has radically increased the complexity of radio resource management and its performance analysis.In this paper,a Simplified Dynamic Hierarchy Resource Management(SDHRM)algorithm exploiting the resources dynamically and intelligently is proposed with the consideration of tidal traffic.In network-level resource allocation,the proposed algorithm first adopts wavelet neural network to forecast the traffic of each sub-area and then allocates the resources to those sub-areas to maximise the network utility.In connection-level network selection,based on the above resource allocation and the pre-defined QoS requirement,three typical network selection policies are provided to assign traffic flow to the most appropriate network.Furthermore,based on multidimensional Markov model,we analyse the performance of SDHRM in HWNs with heavy tailed traffic.Numerical results show that our theoretical values coincide with the simulation results and the SDHRM can improve the resource utilization.

Mean square stability of recurrent neural networks with random delay and Markovian switching

To establish easily proved conditions under which the random delayed recurrent neural network with Markovian switching is mean-square stability,the evolution of the delay was modeled by a continuous-time homogeneous Markov process with a finite number of states.By employing Lyapunov-Krasovskii functionals and conducting stochastic analysis,a linear matrix inequality (LMI) approach was developed to derive the criteria for mean-square stability,which can be readily checked by some standard numerical packages such as the Matlab LMI Toolbox.A numerical example was exploited to show the usefulness of the derived LMI-based stability conditions.

Distributed multichannel medium access control protocol without common control channel for single-hop cognitive radio networks

A novel distributed cognitive radio multichannel medium access protocol without common control channel was proposed.The protocol divided a transmission interval into two parts for exchanging control information and data,respectively.In addition to evaluating system saturation throughput of the proposed protocol,a three-dimensional multi channel Markov chain model to describe the sate of the cognitive users (CUs) in dynamic spectrum access was presented.The proposed analysis was applied to the packet transmission schemes employed by the basic,RTS/CTS access mechanism adopted in the normal IEEE 802.11.Analyzing the advantage of the two methods,a hybrid access mechanism was proposed to improve the system throughput.The simulation results show that the experiment results are close to the value computed by the model (less than 5%),and the proposed protocol significantly improves the performance of the system throughput by borrowing the licensed spectrum.By analyzing the dependence of throughput on system parameters,hybrid mechanism dynamically selecting access mechanism can maintain high throughput.

A NOVEL CALL ADMISSION CONTROL SCHEME IN CELLULAR/WLAN INTEGRATION AND PERFORMANCE ANALYSIS

In order to achieve the Quality of Service(QoS) provisioning and efficient resource utili-zation in cellular network and Wireless Local Area Network(WLAN) integration,an Integrated Ser-vice-Based Call Admission Control(ISB-CAC) scheme is proposed in this paper.The integrated network is modeled by using multi-dimensional Markov chains.The numerical analysis is presented to evaluate the important performance measures such as the blocking probability of originating calls,the dropping probability,and the average transfer time,etc.The steady-state probabilities of the multi-dimensional Markov chains are obtained by using an iterative approach,and the CAC pa-rameters are optimally designed.The analytical model is validated by the computer simulation.It is shown that compared with the conventional WLAN-First Call Admission Control(WF-CAC) scheme,the proposed ISB-CAC scheme not only provides better QoS for mobile users but also utilizes the bandwidth resources more efficiently.

Numerical Simulation and Experiment on Dam Break Problem

In this paper, two novel numerical computation methods are introduced which have been recently developed at Research Institute for Applied Mechanics （ R/AM ）, Kyushu University, for strongly nonlinear wave-body interaction problems, such as ship motions in rough seas and resulting green-water impact on deck. The first method is the CIP-based Cartesian grid method, in which the free surface flow is treated as a multi-phase flow which is solved using a Cartesian grid. The second method is the MPS method, which is a so-called particle method and hence no grid is used. The features and calculation procedures of these numerical methods are described. One validation computation against a newly conducted experiment on a dam break problem, which is also described in this paper, is presented.

Markov chain-based platoon recognition model in mixed traffic with human-driven and connected and autonomous vehicles

Many vehicle platoons are interrupted while traveling on roads,especially at urban signalized intersections.One reason for such interruptions is the inability to exchange real-time information between traditional human-driven vehicles and intersection infrastructure.Thus,this paper develops a Markov chain-based model to recognize platoons.A simulation experiment is performed in Vissim based on field data extracted from video recordings to prove the model’s applicability.The videos,recorded with a high-definition camera,contain field driving data from three Tesla vehicles,which can achieve Level 2 autonomous driving.The simulation results show that the recognition rate exceeds 80%when the connected and autonomous vehicle penetration rate is higher than 0.7.Whether a vehicle is upstream or downstream of an intersection also affects the performance of platoon recognition.The platoon recognition model developed in this paper can be used as a signal control input at intersections to reduce the unnecessary interruption of vehicle platoons and improve traffic efficiency.

Predicting Complex Word Emotions and Topics through a Hierarchical Bayesian Network

In this paper, we provide a Word Emotion Topic （WET） model to predict the complex word e- motion information from text, and discover the dis- trbution of emotions among different topics. A complex emotion is defined as the combination of one or more singular emotions from following 8 basic emotion categories： joy, love, expectation, sur- prise, anxiety, sorrow, anger and hate. We use a hi- erarchical Bayesian network to model the emotions and topics in the text. Both the complex emotions and topics are drawn from raw texts, without con- sidering any complicated language features. Our ex- periment shows promising results of word emotion prediction, which outperforms the traditional parsing methods such as the Hidden Markov Model and the Conditional Random Fields（CRFs） on raw text. We also explore the topic distribution by examining the emotion topic variation in an emotion topic diagram.

A distributed routing algorithm based-on simplified topology in LEO satellite networks

In this paper, a distributed muting strategy based on simplified topology （DRBST） was proposed for LEO satellite networks. The topology of LEO satellite networks was simplified aiming at minimizing intersatellite links handover number. To optimize the route based on the simplified topology, we considered not only the transmission delay but also the queuing delay and the processing delay, which were analyzed using Markov chain and determined using a novel methodology. The DRBST algorithm was simulated in a LEO satellite networks model built using OPNET. The simulation results demonstrate that the low complexity DRBST algorithm can guarantee end-to-end delay bound. Moreover, the muting protocol cost is much less than traditional algorithms.

Diminutive Usage of Internet Banking： A Malaysian Case Study

As the opportunities offered, most individuals and businesses feel that E-banking energies are great. Thus, threats are unavoidable to banks if they fail to identify consequences and vulnerabilities accompanying e-banking practices. The usage rate of e-banking in a top international commercial bank in Malaysia is rather diminutive compare to its other bases in countries like Singapore, China and India. Interestingly, it is on decreasing mode year by year. This study aimed to offer a good set of information of the factors influencing low usage and possibilities to suggest ways to increase the usage among the bank customers. In this study, a comprehensive survey data gathering were used to collect and analyze the respondents and results indicate that ease of use is the most significant contributor to the low usage. 204 valid feedbacks were obtained from the SCM bank＇s customers, with the research indicating that e-banking still has a gap to fill between customers, the bank and the e-system in maximizing the desire of existing clients to go over the net.

MSAP技术在煤炭电力远动系统中的应用

介绍了中国平煤神马集团通讯专网及电力系统中MSAP技术的应用,以及现有的电力远动系统应用情况和运行效果。

Spectrum Sensing Model for Wireless Internet of Things

In the last few years, the number of devices operating in wireless Internet of Things （IoT） has experienced tremendous growth. On the other hand, the growth results in spectrum scarcity. Cog- nitive Radio （CR） systems have been proposed to efficiently exploit the spectra that have been assigned but are underutilized. In this paper, a spectrum sensing model based on Markov chain is proposed to predict the spectrum hole for CR in wireless IoT. Theoretical analysis and simulation results have been evaluated that a Markov model with two- state or four-state works well enough in wireless loT whereas a model with more states is not necessary for it is complex.

Four-Closure： How Amazon, Apple, Facebook ＆ Google Are Driving Business Model Innovation

This paper explores the rapid growth of four internet-based corporations and critiques the extent to which the Internet has developed from being simply a powerful tool and enabler of industry innovation to achieving status as a fully-fledged technology-based business ecosystem. The need to develop new management theories, tools, and techniques to compete with the ＂Gang of Four＂ （Amazon, Apple, Google, and Facebook） is also discussed in some depth as well as providing a critique of traditional models/strategic approaches and more recent theories. This is considered to be an important area of research because as a new class of Internet company emerges, incumbent firms in traditional industries will need to know how to prepare for the new challenges that face them.

Delay-Dependent Exponential Stability of Stochastic Delayed Recurrent Neural Networks with Markovian Switching

The exponential stability problem is investigated for a class of stochastic recurrent neural networks with time delay and Markovian switching. By using Ito＇s differential formula and the Lyapunov stability theory, sufficient condition for the solvability of this problem is derived in term of linear matrix inequalities, which can be easily checked by resorting to available software packages. A numerical example and the simulation are exploited to demonstrate the effectiveness of the proposed results.