TITLE

Approach to Forecasting Multi-step Attack Based on Fuzzy Hidden Markov Model

AUTHOR(S)
Zhang yanxue; Zhao Dongmei; Liu Jinxing
PUB. DATE
November 2013
SOURCE
Journal of Applied Sciences;2013, Vol. 13 Issue 22, p4955
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
We integrate the approach of forecasting multi-step attack, the association rule, fuzzy evaluation and Hidden Markov Model (HMM) and support the method of forecasting multi-step attack based on fuzzy Hidden Markov Model. Firstly, we fuse raw alerts into super alert. Then we obtain the initial state matrix by the probability of the attack, determine the state transition matrix by the association rule and obtain the observation matrix by fuzzy evaluation. Finally, we recognize the alert belonging to attack scenarios with the Forward algorithm of HMM and forecast the next possible attack sequence with the Viterbi algorithm of HMM. Simulation experiments results verify the validity of the approach.
ACCESSION #
91943481

 

Related Articles

  • A Novel Method for Decoding Any High-Order Hidden Markov Model. Fei Ye; Yifei Wang // Discrete Dynamics in Nature & Society;2014, p1 

    This paper proposes a novel method for decoding any high-order hidden Markov model. First, the high-order hidden Markov model is transformed into an equivalent first-order hidden Markov model by Hadar's transformation. Next, the optimal state sequence of the equivalent first-order hidden Markov...

  • HMM based estimation of NCS network load and its application in switching control. Wang, Yan; Tian, Longfei // Telecommunication Systems;May2013, Vol. 53 Issue 1, p107 

    The analysis and design of the Networked Control System (NCS) are more challenging due to the random time delays brought by the network. And modeling the uncertain time delays has been becoming a significant focus of research. This paper modeled the network delays with Hidden Markov Model (HMM),...

  • The Baum-Welch Algorithm of Mixture Coupled Hidden Markov Model. Shiping Du; Houhui Huang; Yuming Wei // Journal of Convergence Information Technology;Jan2013, Vol. 8 Issue 1, p620 

    A variety of coupled hidden Markov models (CHMMs) have recently been proposed as extensions of hidden Markov models (HMMs)to better characterize multiple interdependent sequences, in many practical applications. The resulting models have multiple state variables that are temporally coupled via...

  • Improved Hidden Markov Model in DNA Sequence Alignment. Rozi, Naila; Khan, Nasiruddin // Interdisciplinary Journal of Contemporary Research in Business;Jan2011, Vol. 2 Issue 9, p528 

    We present an improved hidden-Markov-Model ( HMM) based method for performing global alignment of non-coding DNA sequences. The method uses an explicit model of length frequency distribution which can be specified, and allows any time reversible model of nucleotide substitution. The method uses...

  • A Game Theoretic Resource Allocation Model Based on Extended Second Price Sealed Auction in Grid Computing. Weifeng Sun; Qiufen Xia; Zichuan Xu; Mingchu Li; Zhenquan Qin // Journal of Computers;Jan2012, Vol. 7 Issue 1, p65 

    In resource-limited environment, grid users compete for limited resources, and how to guarantee tasks' victorious probabilities is one of the most primary issues that a resource scheduling model cares. In order to guarantee higher task's victorious probabilities in grid resources scheduling...

  • Berth Allocation in Container Terminal Based on Association Rules. Wang Yu; Zheng Huiqiang; Yang Lu; Chang Daofang // Journal of Convergence Information Technology;Nov2012, Vol. 7 Issue 20, p266 

    This paper studies on the berth allocation problem in container terminal. The rules of berth allocation are gotten by using the method of data mining. Two kinds of technologies, classification and association are used to study the berth allocation. The data mining model of berth allocation in...

  • Connected digit speech recognition system for Malayalam language. KURIAN, CINI; BALAKRISHNAN, KANNAN // Sadhana;Dec2013, Vol. 38 Issue 6, p1339 

    A connected digit speech recognition is important in many applications such as automated banking system, catalogue-dialing, automatic data entry, automated banking system, etc. This paper presents an optimum speaker-independent connected digit recognizer for Malayalam language. The system...

  • PROFHMM_UNC: Introducing a Priori Knowledge for Completing Missing Values of Multidimensional Time-Series. Charantonis, A. A.; Badran, F.; Thiria, S. // International Journal of Communications, Network & System Scienc;Aug2014, Vol. 7 Issue 8, p316 

    We present a new method for estimating missing values or correcting unreliable observed values of time dependent physical fields. This method, is based on Hidden Markov Models and Self-Organizing Maps, and is named PROFHMM_UNC. PROFHMM_UNC combines the knowledge of the physical process under...

  • Gestuelle: A System to Recognize Dynamic Hand Gestures using Hidden Markov Model to Control Windows Applications. Pansare, J. R.; Bansal, Malvika; Saxena, Shivin; Desale, Devendra // International Journal of Computer Applications;2013, Vol. 62, p19 

    Human Computer Interaction has always been a challenging adventure for researchers. Communication between computers and humans, just as humans interact with one another has been the prime objective of HCI research. Many efforts have gone into Speech and Gesture Recognition to develop an approach...

Share

Read the Article

Courtesy of VIRGINIA BEACH PUBLIC LIBRARY AND SYSTEM

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics