A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 4 Issue 4
Oct.  2017

IEEE/CAA Journal of Automatica Sinica

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Mayank Agarwal, Sanketh Purwar, Santosh Biswas and Sukumar Nandi, "Intrusion Detection System for PS-Poll DoS Attack in 802.11 Networks Using Real Time Discrete Event System," IEEE/CAA J. Autom. Sinica, vol. 4, no. 4, pp. 792-808, Oct. 2017. doi: 10.1109/JAS.2016.7510178
Citation: Mayank Agarwal, Sanketh Purwar, Santosh Biswas and Sukumar Nandi, "Intrusion Detection System for PS-Poll DoS Attack in 802.11 Networks Using Real Time Discrete Event System," IEEE/CAA J. Autom. Sinica, vol. 4, no. 4, pp. 792-808, Oct. 2017. doi: 10.1109/JAS.2016.7510178

Intrusion Detection System for PS-Poll DoS Attack in 802.11 Networks Using Real Time Discrete Event System

doi: 10.1109/JAS.2016.7510178
Funds:  This work was supported by TATA Consultancy Servies (TCS) Research Fellowship Program, India
More Information
  • Wi-Fi devices have limited battery life because of which conserving battery life is imperative. The 802.11 Wi-Fi standard provides power management feature that allows stations (STAs) to enter into sleep state to preserve energy without any frame losses. After the STA wakes up, it sends a null data or PS-Poll frame to retrieve frame(s) buffered by the access point (AP), if any during its sleep period. An attacker can launch a power save denial of service (PS-DoS) attack on the sleeping STA(s) by transmitting a spoofed null data or PS-Poll frame(s) to retrieve the buffered frame(s) of the sleeping STA(s) from the AP causing frame losses for the targeted STA(s). Current APproaches to prevent or detect the PS-DoS attack require encryption, change in protocol or installation of proprietary hardware. These solutions suffer from expensive setup, maintenance, scalability and deployment issues. The PS-DoS attack does not differ in semantics or statistics under normal and attack circumstances. So signature and anomaly based intrusion detection system (IDS) are unfit to detect the PS-DoS attack. In this paper we propose a timed IDS based on real time discrete event system (RTDES) for detecting PS-DoS attack. The proposed DES based IDS overcomes the drawbacks of existing systems and detects the PS-DoS attack with high accuracy and detection rate. The correctness of the RTDES based IDS is proved by experimenting all possible attack scenarios.

     

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  • [1]
    Aircrack-ng Suite. [Online]. Available: http://www.aircrack-ng.org/.
    [2]
    Scapy-A powerful interactive packet manipulation program. [Online]. Available: http://www.secdev.org/projects/scapy/
    [3]
    J. Bellardo and S. Savage, "802. 11 denial-of-service attacks: Real vulnerabilities and practical solutions, " in Proc. 12th Conf. USENIX Security Symposium, Berkeley, CA, USA, 2003. http://portal.acm.org/citation.cfm?id=1251353.1251355
    [4]
    "Information technology-telecommunications and information exchange between systems-Local and metropolitan area networks-Specific requirements-Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, " IEEE Std 802. 11-2007, pp. C1-1184, 2017.
    [5]
    R. Bansal, S. Tiwari, and D. Bansal, "Non-cryptographic methods of MAC spoof detection in wireless LAN, " in Proc. 16th IEEE International Conf. Networks, New Delhi, India, 2008, pp. 1-6. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4772621
    [6]
    P. García-Teodoro, J. Díaz-Verdejo, G. Mácia-Fernández, and E. Vázquez, "Anomaly-based network intrusion detection: Techniques, systems and challenges, " Comput. Secur. , vol. 28, no. 1-2, pp. 18-28, Feb. 2009. http://dl.acm.org/citation.cfm?id=2639726
    [7]
    S. Gayaka and B. Yao, "Fault detection, identification and accommodation for an electro-hydraulic system: An adaptive robust APproach, " IFAC Proc. Vol. , vol. 41, no. 2, pp. 13815-13820, Jul. 2008. doi: 10.3182/20080706-5-KR-1001.02339
    [8]
    A. Alaghi, N. Karimi, M. Sedghi, and Z. Navabi, "Online NoC switch fault detection and diagnosis using a high level fault model, " in Proc. 22nd IEEE International Symposium on Defect and Fault-Tolerance in VLSI Systems, DFT Ó7. , Rome, Italy, 2007, pp. 21-29. http://dl.acm.org/citation.cfm?id=1302720
    [9]
    L. F. Gonçalves, J. L. Bosa, T. R. Balen, M. S. Lubaszewski, E. L. Schneider, and R. V. Henriques, "Fault detection, diagnosis and prediction in electrical valves using self-organizing maps, " J. Electron. Test. , vol. 27, no. 4, pp. 551-564, Apr. 2011. doi: 10.1007/s10836-011-5220-0
    [10]
    S. Hong and S. Kim, "Lizard: Energy-efficient hard fault detection, diagnosis and isolation in the ALU, " in Proc. IEEE International Conf. Computer Design (ICCD), Amsterdam, the Netherlands, 2010, pp. 342-349.
    [11]
    X. Yu and J. Jiang, "Hybrid fault-tolerant flight control system design against partial actuator failures, " IEEE Trans. Control Syst. Technol. , vol. 20, no. 4, pp. 871-886, Jul. 2012. http://ieeexplore.ieee.org/document/5966371/
    [12]
    C. F. Chien, C. Y. Hsu, and P. N. Chen, "Semiconductor fault detection and classification for yield enhancement and manufacturing intelligence, " Flex. Serv. Manuf. J. , vol. 25, no. 3, pp. 367-388, Sep. 2013. doi: 10.1007/s10696-012-9161-4
    [13]
    S. J. Youk, S. S. Yoo, C. Y. Lee, J. H. Kho, and G. Lee, "Development of fault detection system in air handling unit, " in Proc. International Conf. Convergence and Hybrid Information Technology, Daejeon, Korea, 2008, pp. 287-292. http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=4622840
    [14]
    S. Lafortune, "Diagnosis of discrete event systems, " in Encyclopedia of Systems and Control. London, UK: Springer, 2014, pp. 1-10.
    [15]
    J. Zaytoon and S. Lafortune, "Overview of fault diagnosis methods for discrete event systems, " Ann. Rev. Control, vol. 37, no. 2, pp. 308-320, Dec. 2013. http://www.sciencedirect.com/science/article/pii/S1367578813000552
    [16]
    C. Mahulea, C. Seatzu, M. P. Cabasino, and M. Silva, "Fault diagnosis of discrete-event systems using continuous petri nets, " IEEE Trans. Syst. , Man Cyber. A: Syst. Hum. , vol. 42, no. 4, pp. 970-984, Jul. 2012. http://ieeexplore.ieee.org/document/6153391/
    [17]
    M. P. Fanti, A. M. Mangini, and W. Ukovich, "Fault detection by labeled petri nets in centralized and distributed APproaches, " IEEE Trans. Automat. Sci. Eng. , vol. 10, no. 2, pp. 392-404, Apr. 2013. http://ieeexplore.ieee.org/document/6236236/
    [18]
    M. Chang, W. Dong, Y. D. Ji, and L. Tong, "On fault predictability in stochastic discrete event systems, " Asian J. Control, vol. 15, no. 5, pp. 1458-1467, Sep. 2013. doi: 10.1002/asjc.748/full
    [19]
    R. H. Kwong and D. L. Yonge-Mallo, "Fault diagnosis in discrete-event systems: Incomplete models and learning, " IEEE Trans. Syst. Man Cyber. B: Cyber. , vol. 41, no. 1, pp. 118-130, Feb. 2011. http://ieeexplore.ieee.org/document/5462887/
    [20]
    P. Bhowal, D. Sarkar, S. Mukhopadhyay, and A. Basu, "Fault diagnosis in discrete time hybrid systems-a case study, " Inf. Sci. , vol. 177, no. 5, pp. 1290-1308, Mar. 2007. http://www.sciencedirect.com/science/article/pii/S0020025506002386
    [21]
    N. Hubballi, S. Biswas, S. Roopa, R. Ratti, and S. Nandi, "LAN attack detection using discrete event systems, " ISA Trans. , vol. 50, no. 1, pp. 119-130, Jan. 2011. http://www.ncbi.nlm.nih.gov/pubmed/20804980
    [22]
    C. G. Cassandras and S. Lafortune, Introduction to Discrete Event Systems. Secaucus, NJ, USA:Springer-Verlag New York, Inc., 2006.
    [23]
    R. Sekar, M. Bendre, D. Dhurjati, and P. Bollineni, "A fast automatonbased method for detecting anomalous program behaviors, " in Proc. 2001 IEEE Symposium on Security and Privacy, Oakland, CA, USA, 2001, pp. 144-155. http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=924295
    [24]
    S. Whittaker, M. Zulkernine, and K. Rudie, "Towards incorporating discrete-event systems in secure software development, " in Proc. Third International Conf. Availability, Reliability and Security, 2008. ARES 08. , Barcelona, Spain, 2008, pp. 1188-1195. http://ieeexplore.ieee.org/document/4529478/
    [25]
    Z. I. Qureshi, B. Aslam, A. Mohsin, and Y. Javed, "A solution to spoofed PS-poll based denial of service attacks in IEEE 802. 11 WLANs, " in Proc. 11th Conf. 11th WSEAS International Conf. Communications, vol. 11, pp. 7-11, Jul. 2007. http://dl.acm.org/citation.cfm?id=1348103
    [26]
    L. F. Meiners, "But. . . my station is awake! (Power Save Denial of Service in 802. 11 Networks), "[Online]. Available: http://corelabs.coresecurity.com/index.php?module=Wiki&action=view&type=publication&name=WiFiPowerSaveDoS.
    [27]
    W. J. Gu, Z. M. Yang, D. Xuan, W. J. Jia, and C. Que, "Null data frame: A double-edged sword in IEEE 802. 11 WLANs, " IEEE Trans. Parallel Distrib. Syst. , vol. 21, no. 7, pp. 897-910, Jul. 2010. http://dl.acm.org/citation.cfm?id=1830083
    [28]
    D. B. Faria and D. R. Cheriton, "Detecting identity-based attacks in wireless networks using signalprints, " in Proc. 5th ACM Workshop on Wireless Security, New York, NY, USA, 2006, pp. 43-52. http://dl.acm.org/citation.cfm?id=1161298
    [29]
    B. Azimi-Sadjadi, A. Kiayias, A. Mercado, and B. Yener, "Robust key generation from signal envelopes in wireless networks, " in Proc. 14th ACM Conf. Computer and Communications Security, Alexandria, Virginia, USA, 2007, pp. 401-410. http://dl.acm.org/citation.cfm?id=1315295
    [30]
    Y. Y. Chen, W. Trappe, and R. P. Martin, "Detecting and localizing wireless spoofing attacks, " in Proc. 4th Annual IEEE Communications Society Conf. Sensor, Mesh and Ad Hoc Communications and Networks, 2007. SECONÓ7. , San Diego, CA, USA, 2007, pp. 193-202.
    [31]
    J. Wright, "How 802. 11w will improve wireless security, "[Online]. Available: http://www.networkworld.com/article/2312251/networksecurity/how-802-11w-will-improve-wireless-security.html. Accessed on: May 2006.
    [32]
    CWNP, "Wireless LAN security and IEEE 802. 11w. "[Online]. Available: http://www.cwnp.com/cwnpwifiblog/wireless-lan-securityand-ieee-802-11w/.
    [33]
    S. Biswas, D. Sarkar, and S. Mukhopadhyay, "Diagnosability of delaydeadline failures in fair real time discrete event models, " Int. J. Syst. Sci. , vol. 41, no. 7, pp. 763-782, Jul. 2010. http://dl.acm.org/citation.cfm?id=1832904.1832908
    [34]
    M. Sampath, R. Sengupta, S. Lafortune, K. Sinnamohideen, and D. Teneketzis, "Diagnosability of discrete-event systems, " IEEE Trans. Automat. Control, vol. 40, no. 9, pp. 1555-1575, Sep. 1995.
    [35]
    "BackTrack. "[Online]. Available: http://www.backtrack-linux.org/.
    [36]
    N. J. Puketza, K. Zhang, M. Chung, B. Mukherjee, and R. A. Olsson, "A methodology for testing intrusion detection systems, " IEEE Trans. Softw. Eng. , vol. 22, no. 10, pp. 719-729, Oct. 1996. http://www.emeraldinsight.com/servlet/linkout?suffix=B11&dbid=16&doi=10.1108%2FEUM0000000005807&key=10.1109%2F32.544350

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