Malware Propagation Models in Wireless Sensor Networks: A Review

Mathematical models to study to simulate the spread of malware are widely studied today. Malware spreading in Wireless Sensor Networks (WSNs) has special relevance as these networks consist on hundreds or even thousands of autonomous devices (sensors) able to monitor and to communicate with one another. Malware attacks on WSNs have become a critical challenge because sensors generally have weak defense capabilities, that is why the malware propagation in WSNs is relevant for security community. In this paper, some of the most important and recent global mathematical models to describe malware spreading in such networks are presented.

[1]  Shuang-Hua Yang,et al.  Wireless Sensor Networks: Principles, Design and Applications , 2013 .

[2]  Zhang Hong,et al.  Simulation-Based Analysis of Worm Propagation in Wireless Sensor Networks , 2012, 2012 Fourth International Conference on Multimedia Information Networking and Security.

[3]  Sencun Zhu,et al.  Improving sensor network immunity under worm attacks: A software diversity approach , 2016, Ad Hoc Networks.

[4]  Bimal Kumar Mishra,et al.  Dynamic model of worms with vertical transmission in computer network , 2011, Appl. Math. Comput..

[5]  John A. Stankovic,et al.  Security in wireless sensor networks , 2004, SASN '04.

[6]  Athanasios V. Vasilakos,et al.  Dynamics in small worlds of tree topologies of wireless sensor networks , 2012 .

[7]  M. Newman Spread of epidemic disease on networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[8]  Brian L. Mark,et al.  Analysis of virus spread in wireless sensor networks: An epidemic model , 2009, 2009 7th International Workshop on Design of Reliable Communication Networks.

[9]  Hayder Radha,et al.  A topologically-aware worm propagation model for wireless sensor networks , 2005, 25th IEEE International Conference on Distributed Computing Systems Workshops.

[10]  Chee-Yee Chong,et al.  Sensor networks: evolution, opportunities, and challenges , 2003, Proc. IEEE.

[11]  Sajal K. Das,et al.  An Epidemic Theoretic Framework for Evaluating Broadcast Protocols in Wireless Sensor Networks , 2007, 2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems.

[12]  Rekha Jain,et al.  Wireless Sensor Network -A Survey , 2013 .

[13]  Bimal Kumar Mishra,et al.  Mathematical model on the transmission of worms in wireless sensor network , 2013 .

[14]  Sajal K. Das,et al.  Modeling node compromise spread in wireless sensor networks using epidemic theory , 2006, 2006 International Symposium on a World of Wireless, Mobile and Multimedia Networks(WoWMoM'06).

[15]  Yingshu Li,et al.  EiSIRS: a formal model to analyze the dynamics of worm propagation in wireless sensor networks , 2010, J. Comb. Optim..

[16]  Li Guo,et al.  Worm Propagation Control Based on Spatial Correlation in Wireless Sensor Network , 2012, APWeb Workshops.

[17]  Ian F. Akyildiz,et al.  A survey on wireless sensor networks for smart grid , 2015, Comput. Commun..

[18]  Zizhen Zhang,et al.  Dynamics of a delayed SEIRS-V model on the transmission of worms in a wireless sensor network , 2014 .

[19]  Steven F. Railsback,et al.  Agent-Based and Individual-Based Modeling: A Practical Introduction , 2011 .

[20]  Xiao-Yuan Yang,et al.  Virus spreading in wireless sensor networks with a medium access control mechanism , 2013 .

[21]  S. Jørgensen,et al.  Individual-Based Models , 2011 .

[22]  Hongyong Zhao,et al.  Dynamical analysis and optimal control for a malware propagation model in an information network , 2015, Neurocomputing.

[23]  Jaydip Sen,et al.  A Survey on Wireless Sensor Network Security , 2009, Int. J. Commun. Networks Inf. Secur..

[24]  Li-Ping Feng,et al.  Modeling and Stability Analysis of Worm Propagation in Wireless Sensor Network , 2015 .

[25]  Yurong Song,et al.  The Model of Malware Propagation in Wireless Sensor Networks with Regional Detection Mechanism , 2014, CWSN.

[26]  Ángel Martín del Rey,et al.  Mathematical modeling of the propagation of malware: a review , 2015, Secur. Commun. Networks.

[27]  Sajal K. Das,et al.  This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. IEEE TRANSACTIONS ON MOBILE COMPUTING An Epidemic Theoretic Framework for Vulnerability Analysi , 2022 .

[28]  W. O. Kermack,et al.  A contribution to the mathematical theory of epidemics , 1927 .

[29]  Stephen Wolfram,et al.  A New Kind of Science , 2003, Artificial Life.

[30]  Sajal K. Das,et al.  Epidemic Models, Algorithms, and Protocols in Wireless Sensor and Ad Hoc Networks , 2008, Algorithms and Protocols for Wireless Sensor Networks.

[31]  Mauro Conti,et al.  Secure Wireless Sensor Networks , 2015, Advances in Information Security.

[32]  Athanasios V. Vasilakos,et al.  Differential Game-Based Strategies for Preventing Malware Propagation in Wireless Sensor Networks , 2014, IEEE Transactions on Information Forensics and Security.

[33]  Athanasios V. Vasilakos,et al.  Epidemics on small worlds of tree-based wireless sensor networks , 2014, J. Syst. Sci. Complex..

[34]  Mauro Conti Secure Wireless Sensor Networks: Threats and Solutions , 2015 .

[35]  Davide Brunelli,et al.  Wireless Sensor Networks , 2012, Lecture Notes in Computer Science.

[36]  J. Kwon,et al.  The twisted Daehee numbers and polynomials , 2014 .

[37]  ReyAngel Martín Mathematical modeling of the propagation of malware , 2015 .

[38]  Junhua Chen,et al.  Modeling the Spread of Worm Epidemics in Wireless Sensor Networks , 2009, 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing.

[39]  Hayder Radha,et al.  Using signal processing techniques to model worm propagation over wireless sensor networks , 2006 .

[40]  P. Kaye Infectious diseases of humans: Dynamics and control , 1993 .

[41]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[42]  R. May,et al.  Infectious Diseases of Humans: Dynamics and Control , 1991, Annals of Internal Medicine.

[43]  Li,et al.  An Improved SIR Model for Analyzing the Dynamics of Worm Propagation in Wireless Sensor Networks , 2009 .

[44]  Naixue Xiong,et al.  Data prediction, compression, and recovery in clustered wireless sensor networks for environmental monitoring applications , 2016, Inf. Sci..

[45]  王亚奇,et al.  Virus spreading in wireless sensor networks with a medium access control mechanism , 2013 .

[46]  Shensheng Tang,et al.  A Modified SI Epidemic Model for Combating Virus Spread in Wireless Sensor Networks , 2011, Int. J. Wirel. Inf. Networks.