12 research outputs found

    Multiple Bridge Secret Delivery in Wireless Sensor Networks

    Get PDF
    Achieving security in wireless sensor networks is a challenging problem due to the inherent resource and computing constraints. Several key distribution techniques have been proposed in the technical literature for efficient distribution of keys to the nodes prior deployment. These techniques establish secure links for some pairs of physically connected nodes but leave other pairs alone. Remaining nodes use multi-hop scheme to form a secured path connecting these links. Using this technique, the secret is disclosed to all the nodes on the path. Therefore, if any of the nodes is compromised by an adversary, secret is disclosed to the adversary. To solve this problem, a scheme called Babel was proposed recently that finds common bridge node to deliver secret link keys to their neighbors. In this scheme regular paths are used to deliver multiple keys with the common bridge node, hence key compromise probability is lowered compared to previous techniques. Our work is based on the Babel scheme and has several advantages. In our work we propose a new scheme that finds multiple bridge nodes to deliver secret link keys to all its physical neighbors. Keys are distributed to multiple bridge nodes instead of one common bridge node to establish secure connections to the disconnected nodes. Hence even if a few of the bridge nodes are compromised, secret will not be disclosed to the adversary. We present the details of our scheme's design and investigate the connectivity and security performance of our scheme in this thesis

    Security analysis on a conference scheme for mobile communications

    Get PDF
    10.1109/TWC.2006.1638641IEEE Transactions on Wireless Communications561238-124

    Effective symbolic protocol analysis via equational irreducibility conditions

    Full text link
    We address a problem that arises in cryptographic protocol analysis when the equational properties of the cryptosystem are taken into account: in many situations it is necessary to guarantee that certain terms generated during a state exploration are in normal form with respect to the equational theory. We give a tool-independent methodology for state exploration, based on unification and narrowing, that generates states that obey these irreducibility constraints, called contextual symbolic reachability analysis, prove its soundness and completeness, and describe its implementation in the Maude-NPA protocol analysis tool. Contextual symbolic reachability analysis also introduces a new type of unification mechanism, which we call asymmetric unification, in which any solution must leave the right side of the solution irreducible. We also present experiments showing the effectiveness of our methodology.S. Escobar and S. Santiago have been partially supported by the EU (FEDER) and the Spanish MEC/MICINN under grant TIN 2010-21062-C02-02, and by Generalitat Valenciana PROMETEO2011/052. The following authors have been partially supported by NSF: S. Escobar, J. Meseguer and R. Sasse under grants CCF 09- 05584, CNS 09-04749, and CNS 09-05584; D. Kapur under grant CNS 09-05222; C. Lynch, Z. Liu, and C. Meadows under grant CNS 09-05378, and P. Narendran and S. Erbatur under grant CNS 09-05286.Erbatur, S.; Escobar Román, S.; Kapur, D.; Liu, Z.; Lynch, C.; Meadows, C.; Meseguer, J.... (2012). Effective symbolic protocol analysis via equational irreducibility conditions. En Computer Security - ESORICS 2012. Springer Verlag (Germany). 7459:73-90. doi:10.1007/978-3-642-33167-1_5S73907459IEEE 802.11 Local and Metropolitan Area Networks: Wireless LAN Medium Access Control (MAC) and Physical (PHY) Specifications (1999)Abadi, M., Cortier, V.: Deciding knowledge in security protocols under equational theories. Theor. Comput. Sci. 367(1-2), 2–32 (2006)Arapinis, M., Bursuc, S., Ryan, M.: Privacy Supporting Cloud Computing: ConfiChair, a Case Study. In: Degano, P., Guttman, J.D. (eds.) Principles of Security and Trust. LNCS, vol. 7215, pp. 89–108. Springer, Heidelberg (2012)Basin, D., Mödersheim, S., Viganò, L.: An On-the-Fly Model-Checker for Security Protocol Analysis. In: Snekkenes, E., Gollmann, D. (eds.) ESORICS 2003. LNCS, vol. 2808, pp. 253–270. Springer, Heidelberg (2003)Baudet, M., Cortier, V., Delaune, S.: YAPA: A Generic Tool for Computing Intruder Knowledge. In: Treinen, R. (ed.) RTA 2009. LNCS, vol. 5595, pp. 148–163. Springer, Heidelberg (2009)Blanchet, B.: An efficient cryptographic protocol verifier based on prolog rules. In: CSFW, pp. 82–96. IEEE Computer Society (2001)Blanchet, B.: Using horn clauses for analyzing security protocols. In: Cortier, V., Kremer, S. (eds.) Formal Models and Techniques for Analyzing Security Protocols. IOS Press (2011)Blanchet, B., Abadi, M., Fournet, C.: Automated verification of selected equivalences for security protocols. J. Log. Algebr. Program. 75(1), 3–51 (2008)Ciobâcă, Ş., Delaune, S., Kremer, S.: Computing Knowledge in Security Protocols under Convergent Equational Theories. In: Schmidt, R.A. (ed.) CADE-22. LNCS (LNAI), vol. 5663, pp. 355–370. Springer, Heidelberg (2009)Comon-Lundh, H., Delaune, S.: The Finite Variant Property: How to Get Rid of Some Algebraic Properties. In: Giesl, J. (ed.) RTA 2005. LNCS, vol. 3467, pp. 294–307. Springer, Heidelberg (2005)Comon-Lundh, H., Delaune, S., Millen, J.: Constraint solving techniques and enriching the model with equational theories. In: Cortier, V., Kremer, S. (eds.) Formal Models and Techniques for Analyzing Security Protocols. Cryptology and Information Security Series, vol. 5, pp. 35–61. IOS Press (2011)Comon-Lundh, H., Shmatikov, V.: Intruder deductions, constraint solving and insecurity decision in presence of exclusive or. In: LICS, pp. 271–280. IEEE Computer Society (2003)Ciobâcă, Ş.: Knowledge in security protocolsDolev, D., Yao, A.C.-C.: On the security of public key protocols (extended abstract). In: FOCS, pp. 350–357 (1981)Escobar, S., Meadows, C., Meseguer, J.: A rewriting-based inference system for the NRL protocol analyzer and its meta-logical properties. Theoretical Computer Science 367(1-2), 162–202 (2006)Escobar, S., Meadows, C., Meseguer, J.: State Space Reduction in the Maude-NRL Protocol Analyzer. In: Jajodia, S., Lopez, J. (eds.) ESORICS 2008. LNCS, vol. 5283, pp. 548–562. Springer, Heidelberg (2008)Escobar, S., Meadows, C., Meseguer, J.: Maude-NPA: Cryptographic Protocol Analysis Modulo Equational Properties. In: Aldini, A., Barthe, G., Gorrieri, R. (eds.) FOSAD 2007. LNCS, vol. 5705, pp. 1–50. Springer, Heidelberg (2009)Escobar, S., Meadows, C., Meseguer, J., Santiago, S.: State space reduction in the maude-nrl protocol analyzer. Information and Computation (in press, 2012)Escobar, S., Sasse, R., Meseguer, J.: Folding variant narrowing and optimal variant termination. J. Log. Algebr. Program (in press, 2012)Thayer Fabrega, F.J., Herzog, J., Guttman, J.: Strand Spaces: What Makes a Security Protocol Correct? Journal of Computer Security 7, 191–230 (1999)Jouannaud, J.-P., Kirchner, H.: Completion of a set of rules modulo a set of equations. SIAM J. Comput. 15(4), 1155–1194 (1986)Küsters, R., Truderung, T.: Using ProVerif to analyze protocols with Diffie-Hellman exponentiation. In: CSF, pp. 157–171. IEEE Computer Society (2009)Küsters, R., Truderung, T.: Reducing protocol analysis with xor to the xor-free case in the horn theory based approach. Journal of Automated Reasoning 46(3-4), 325–352 (2011)Liu, Z., Lynch, C.: Efficient General Unification for XOR with Homomorphism. In: Bjørner, N., Sofronie-Stokkermans, V. (eds.) CADE 2011. LNCS, vol. 6803, pp. 407–421. Springer, Heidelberg (2011)Lowe, G., Roscoe, B.: Using csp to detect errors in the tmn protocol. IEEE Transactions on Software Engineering 23, 659–669 (1997)Lucas, S.: Context-sensitive computations in functional and functional logic programs. J. Functl. and Log. Progr. 1(4), 446–453 (1998)Meseguer, J.: Conditional rewriting logic as a united model of concurrency. Theor. Comput. Sci. 96(1), 73–155 (1992)Meseguer, J., Thati, P.: Symbolic reachability analysis using narrowing and its application to verification of cryptographic protocols. Higher-Order and Symbolic Computation 20(1-2), 123–160 (2007)Mödersheim, S.: Models and methods for the automated analysis of security protocols. PhD thesis, ETH Zurich (2007)Mödersheim, S., Viganò, L., Basin, D.A.: Constraint differentiation: Search-space reduction for the constraint-based analysis of security protocols. Journal of Computer Security 18(4), 575–618 (2010)Tatebayashi, M., Matsuzaki, N., Newman Jr., D.B.: Key Distribution Protocol for Digital Mobile Communication Systems. In: Brassard, G. (ed.) CRYPTO 1989. LNCS, vol. 435, pp. 324–334. Springer, Heidelberg (1990)TeReSe (ed.): Term Rewriting Systems. Cambridge University Press, Cambridge (2003)Viry, P.: Equational rules for rewriting logic. Theor. Comput. Sci. 285(2), 487–517 (2002)Zhang, H., Remy, J.-L.: Contextual Rewriting. In: Jouannaud, J.-P. (ed.) RTA 1985. LNCS, vol. 202, pp. 46–62. Springer, Heidelberg (1985

    A Key Management Scheme for Wireless Sensor Networks Using Deployment Knowledge

    Get PDF
    To achieve security in wireless sensor networks, it is important to be able to encrypt messages sent among sensor nodes. Keys for encryption purposes must be agreed upon by communicating nodes. Due to resource constraints, achieving such key agreement in wireless sensor networks is non-trivial. Many key agreement schemes used in general networks, such as Diffie-Hellman and public-key based schemes, are not suitable for wireless sensor networks. Pre-distribution of secret keys for all pairs of nodes is not viable due to the large amount of memory used when the network size is large. Recently, a random key predistribution scheme and its improvements have been proposed

    A Key Predistribution Scheme for Sensor Networks Using Deployment Knowledge

    Get PDF
    To achieve security in wireless sensor networks, it is important to be able to encrypt messages sent among sensor nodes. Keys for encryption purposes must be agreed upon by communicating nodes. Due to resource constraints, achieving such key agreement in wireless sensor networks is nontrivial. Many key agreement schemes used in general networks, such as Diffie-Hellman and public-key-based schemes, are not suitable for wireless sensor networks. Predistribution of secret keys for all pairs of nodes is not viable due to the large amount of memory used when the network size is large. Recently, a random key predistribution scheme and its improvements have been proposed. A common assumption made by these random key predistribution schemes is that no deployment knowledge is available. Noticing that, in many practical scenarios, certain deployment knowledge may be available a priori, we propose a novel random key predistribution scheme that exploits deployment knowledge and avoids unnecessary key assignments. We show that the performance (including connectivity, memory usage, and network resilience against node capture) of sensor networks can be substantially improved with the use of our proposed scheme. The scheme and its detailed performance evaluation are presented in this paper

    Asymmetric Unification: A New Unification Paradigm for Cryptographic Protocol Analysis

    Full text link
    The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-38574-2_16We present a new paradigm for unification arising out of a technique commonly used in cryptographic protocol analysis tools that employ unification modulo equational theories. This paradigm relies on: (i) a decomposition of an equational theory into (R,E) where R is confluent, terminating, and coherent modulo E, and (ii) on reducing unification problems to a set of problems s=?ts=?t under the constraint that t remains R/E-irreducible. We call this method asymmetric unification. We first present a general-purpose generic asymmetric unification algorithm. and then outline an approach for converting special-purpose conventional unification algorithms to asymmetric ones, demonstrating it for exclusive-or with uninterpreted function symbols. We demonstrate how asymmetric unification can improve performanceby running the algorithm on a set of benchmark problems. We also give results on the complexity and decidability of asymmetric unification.S. Escobar and S. Santiago were partially supported by EU (FEDER) and the Spanish MEC/MICINN under grant TIN 2010-21062-C02-02, and by Generalitat Valenciana PROMETEO2011/052. The following authors were partially supported by NSF: S. Escobar, J. Meseguer, and R. Sasse under CNS 09-04749 and CCF 09- 05584; D. Kapur under CNS 09-05222; C. Lynch, Z. Liu, and C. Meadows under CNS 09-05378, and P. Narendran and S. Erbatur under CNS 09-05286. Part of the S. Erbatur’s work was supported while with the Department of Computer Science, University at Albany, and part of R. Sasse’s work was supported while with the Department of Computer Science, University of Illinois at Urbana-Champaign.Erbatur, S.; Escobar Román, S.; Kapur, D.; Liu, Z.; Lynch, CA.; Meadows, C.; Meseguer, J.... (2013). Asymmetric Unification: A New Unification Paradigm for Cryptographic Protocol Analysis. En Automated Deduction – CADE-24. Springer. 231-248. https://doi.org/10.1007/978-3-642-38574-2_16S231248IEEE 802.11 Local and Metropolitan Area Networks: Wireless LAN Medium Access Control (MAC) and Physical (PHY) Specifications (1999)Basin, D., Mödersheim, S., Viganò, L.: An on-the-fly model-checker for security protocol analysis. In: Snekkenes, E., Gollmann, D. (eds.) ESORICS 2003. LNCS, vol. 2808, pp. 253–270. Springer, Heidelberg (2003)Blanchet, B.: An efficient cryptographic protocol verifier based on Prolog rules. In: CSFW, pp. 82–96. IEEE Computer Society (2001)Bürckert, H.-J., Herold, A., Schmidt-Schauß, M.: On equational theories, unification, and (un)decidability. Journal of Symbolic Computation 8(1/2), 3–49 (1989)Comon-Lundh, H., Delaune, S.: The finite variant property: How to get rid of some algebraic properties. In: Giesl, J. (ed.) RTA 2005. LNCS, vol. 3467, pp. 294–307. Springer, Heidelberg (2005)Durán, F., Meseguer, J.: A Maude coherence checker tool for conditional order-sorted rewrite theories. In: Ölveczky, P.C. (ed.) WRLA 2010. LNCS, vol. 6381, pp. 86–103. Springer, Heidelberg (2010)Erbatur, S., Escobar, S., Kapur, D., Liu, Z., Lynch, C., Meadows, C., Meseguer, J., Narendran, P., Santiago, S., Sasse, R.: Effective symbolic protocol analysis via equational irreducibility conditions. In: Foresti, S., Yung, M., Martinelli, F. (eds.) ESORICS 2012. LNCS, vol. 7459, pp. 73–90. Springer, Heidelberg (2012)Erbatur, S., Escobar, S., Kapur, D., Liu, Z., Lynch, C., Meadows, C., Meseguer, J., Narendran, P., Sasse, R.: Asymmetric unification: A new unification paradigm for cryptographic protocol analysis. In: UNIF 2011 (2011), https://sites.google.com/a/cs.uni.wroc.pl/unif-2011/programEscobar, S., Sasse, R., Meseguer, J.: Folding variant narrowing and optimal variant termination. J. Log. Algebr. Program. 81(7-8), 898–928 (2012)Harju, T., Karhumäki, J., Krob, D.: Remarks on generalized post correspondence problem. In: Puech, C., Reischuk, R. (eds.) STACS 1996. LNCS, vol. 1046, pp. 39–48. Springer, Heidelberg (1996)Hopcroft, J.E., Motwani, R., Ullman, J.D.: Introduction to automata theory, languages, and computation - international edition, 2nd edn. Addison-Wesley (2003)Jouannaud, J.-P., Kirchner, H.: Completion of a set of rules modulo a set of equations. SIAM J. Comput. 15(4), 1155–1194 (1986)Liu, Z., Lynch, C.: Efficient general unification for XOR with homomorphism. In: Bjørner, N., Sofronie-Stokkermans, V. (eds.) CADE 2011. LNCS, vol. 6803, pp. 407–421. Springer, Heidelberg (2011)Liu, Z.: Dealing Efficiently with Exclusive OR, Abelian Groups and Homomorphism in Cryptographic Protocol Analysis. PhD thesis, Clarkson University (2012), http://people.clarkson.edu/~clynch/papers/Dissertation_of_Zhiqiang_Liu.pdfLowe, G., Roscoe, A.W.R.: Using CSP to detect errors in the TMN protocol. IEEE Transactions on Software Engineering 23, 659–669 (1997)Meseguer, J.: Conditional rewriting logic as a united model of concurrency. Theor. Comput. Sci. 96(1), 73–155 (1992)Schmidt, B., Meier, S., Cremers, C.J.F., Basin, D.A.: Automated analysis of Diffie-Hellman protocols and advanced security properties. In: Proc. CSF 2012, pp. 78–94. IEEE (2012)Tatebayashi, M., Matsuzaki, N., Newman Jr., D.B.: Key distribution protocol for digital mobile communication systems. In: Brassard, G. (ed.) CRYPTO 1989. LNCS, vol. 435, pp. 324–334. Springer, Heidelberg (1990)TeReSe, editor. Term Rewriting Systems. Cambridge University Press (2003)Viry, P.: Equational rules for rewriting logic. Theor. Comp. Sci. 285(2), 487–517 (2002

    Security analysis and enhancements of 3GPP authentication and key agreement protocol

    Full text link
    corecore