24,911 research outputs found
On The Communication Complexity of Perfectly Secure Message Transmission in Directed Networks
In this paper, we re-visit the problem of perfectly secure message transmission (PSMT) in a directed network under the presence of a threshold adaptive Byzantine adversary, having unbounded
computing power. Desmedt et.al have given the characterization for three or more phase PSMT protocols over directed networks. Recently, Patra et. al. have given the characterization of two phase PSMT over directed networks. Even though the issue of tradeoff between phase complexity and communication complexity of PSMT protocols has been resolved in undirected networks, nothing is known in the literature regarding directed networks. In this paper, we completely settle down
this issue. Specifically, we derive the lower bounds on communication complexity of (a) two phase PSMT protocols and (b) three or more phase PSMT protocols in directed networks. Moreover, we show that our lower bounds are asymptotically tight, by designing communication optimal PSMT protocols in directed networks, which are first of their kind.
We re-visit the problem of perfectly reliable message transmission (PRMT) as well. Any PRMT protocol that sends a message containing field elements, has a trivial lower bound of O() field
elements on its communication complexity. Thus any PRMT protocol that sends a message of eld elements by communicating O(\ell) field elements, is referred as communication optimal PRMT or PRMT with constant factor overhead. Here, we characterize the class of directed networks over which communication optimal PRMT or PRMT with constant factor overhead is possible. Moreover, we design a communication optimal PRMT over a directed network that satisfies the conditions stated in our characterization. Our communication optimal PRMT/PSMT protocols employ several new techniques based on coding theory, which are of independent interest
Perfectly Secure Communication, based on Graph-Topological Addressing in Unique-Neighborhood Networks
We consider network graphs in which adjacent nodes share common
secrets. In this setting, certain techniques for perfect end-to-end security
(in the sense of confidentiality, authenticity (implying integrity) and
availability, i.e., CIA+) can be made applicable without end-to-end shared
secrets and without computational intractability assumptions. To this end, we
introduce and study the concept of a unique-neighborhood network, in which
nodes are uniquely identifiable upon their graph-topological neighborhood.
While the concept is motivated by authentication, it may enjoy wider
applicability as being a technology-agnostic (yet topology aware) form of
addressing nodes in a network
Mechanism Design and Communication Networks
This paper characterizes the class of communication networks for which, in any environment (utilities and beliefs), every incentive-compatible social choice function is (partially) implementable. Among others, in environments with either common and independent beliefs and private values or a bad outcome, we show that if the communication network is 2-connected, then any incentive-compatible social choice function is implementable. A network is 2-connected if each player is either directly connected to the designer or indirectly connected to the designer through at least two disjoint paths. We couple encryption techniques together with appropriate incentives to secure the transmission of each player’s private information to the designer.Mechanism design; incentives; Bayesian equilibrium; communication networks; encryption; secure transmission; coding
Network Codes Resilient to Jamming and Eavesdropping
We consider the problem of communicating information over a network secretly
and reliably in the presence of a hidden adversary who can eavesdrop and inject
malicious errors. We provide polynomial-time, rate-optimal distributed network
codes for this scenario, improving on the rates achievable in previous work.
Our main contribution shows that as long as the sum of the adversary's jamming
rate Zo and his eavesdropping rate Zi is less than the network capacity C,
(i.e., Zo+Zi<C), our codes can communicate (with vanishingly small error
probability) a single bit correctly and without leaking any information to the
adversary. We then use this to design codes that allow communication at the
optimal source rate of C-Zo-Zi, while keeping the communicated message secret
from the adversary. Interior nodes are oblivious to the presence of adversaries
and perform random linear network coding; only the source and destination need
to be tweaked. In proving our results we correct an error in prior work by a
subset of the authors in this work.Comment: 6 pages, to appear at IEEE NetCod 201
Resilient Network Coding in the Presence of Byzantine Adversaries
Network coding substantially increases network throughput. But since it involves mixing of information inside the network, a single corrupted packet generated by a malicious node can end up contaminating all the information reaching a
destination, preventing decoding.
This paper introduces distributed polynomial-time rate-optimal network codes that work in the presence of Byzantine nodes. We present algorithms that target adversaries with different attacking capabilities. When the adversary can eavesdrop on all links and jam zO links, our first algorithm achieves a rate of C - 2zO, where C is the network capacity. In contrast, when the adversary has limited eavesdropping capabilities, we provide algorithms that achieve the higher rate of C - zO.
Our algorithms attain the optimal rate given the strength of the adversary. They are information-theoretically secure. They operate in a distributed manner, assume no knowledge of the topology, and can be designed and implemented in polynomial time. Furthermore, only the source and destination need to be modified; nonmalicious nodes inside the network are oblivious to the presence of adversaries and implement a classical distributed network code. Finally, our algorithms work over wired and wireless networks
- …