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We propose XPROB, a generalized pool-based anonymous communication framework. XPROB defines a family of infinite pool-based anonymous communication systems with resistance against global active adversary (adversary with all capabilities to monitor all external activities of system, to delay and to create messages in the system). Our proposal is to solve the limitation of APROB Channel that concerns...
We investigate the achievable throughput regions for scenarios involving prioritized transmissions. Prioritized transmissions are useful in many multimedia networking applications where the transmitted data have an inherent hierarchy such that a piece of data at one level is only useful if all the pieces of data at all the lower levels are present. Formally, the prioritized transmission refers to...
We identify a new type of stateful IDS evasion, named signature evasion. We formalize the signature evasion on those Stateful IDSs whose state can be modeled using Deterministic Finite State Automata (DFAs). We develop an efficient algorithm which operates on rule set DFAs and derives a minimal rectification of evasive paths. Finally, we evaluate our solution on Snort signatures, identify and rectify...
A major threat to data networks is based on the fact that some traffic can be expensive to classify and filter as it will undergo a longer than average list of filtering rules before being rejected by the default deny rule. An attacker with some information about the access-control list (ACL) deployed at a firewall or an intrusion detection and prevention system (IDS/IPS) can craft packets that will...
Keyword queries enjoy widespread usage as they represent an intuitive way of specifying information needs. Recently, answering keyword queries on graph-structured data has emerged as an important research topic. The prevalent approaches build on dedicated indexing techniques as well as search algorithms aiming at finding substructures that connect the data elements matching the keywords. In this paper,...
Linear shift-invariant discrete-time systems satisfying the two-time-scale property are considered. A transformation matrix is formed and applied to the system to separate its slow and fast modes. Two subsystems are then defined, one for the slow modes and the other for the fast modes. An eigenvalue placement technique is proposed that will place the eigenvalues of the closed loop subsystems at desired...
The main drawback of using optimal control theory is the sensitivity to modeling errors. In this paper, a model error sensitivity reduction method is presented for discrete-time systems in an effort to solve the sensitivity to modeling error. The result is a decentralized control concept consisting of a collection of subsystem controllers, each independently charged with a subset of the system states...
Linear shift invariant large scale discrete-time multivariable systems whose inputs and outputs are strongly interacted, are considered. The designing of compensators to decouple these systems is presented.
The controllability and observability of linear shift-invariant discrete-time systems satisfying the two-time-scale property are considered. A method is proposed for designing two state feedback gains which are used for separate placement of slow and fast eigenvalues. This method is based on the separability of the slow and fast controls.
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