Mihajlo Pavloski

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Mobile networks are vulnerable to signaling attacks and storms that are caused by traffic patterns that overload the control plane, and differ from distributed denial of service attacks in the Internet since they directly affect the control plane, and also reserve wireless bandwidth and network resources without actually using them. Such storms can result(More)
In this demonstration proposal we describe a prototype of a radio environment map (REM) for storing and reasoning about spectrum data obtained from heterogeneous sources. The architecture of the REM prototype is both modular and extendible, and can be used with very diverse spectrum sensors, ranging from high-fidelity spectrum analyzers to dedicated(More)
Spectrum sensing is a fundamental feature of cognitive radio technologies facilitating detection and localization of spectrum opportunities. Combined with centralized database storage, it fosters reliable spatial spectrum measurements and Radio Environmental Maps (REMs) construction that can provide an accurate insight in the spectrum utilization over time,(More)
In this paper we describe an experimental testbed to empirically study the construction of Radio Environmental Maps (REMs) in indoor environments. The testbed allows investigating the characteristics and modeling of the radio environment for indoor scenarios. The deployed system is a network of over 80 heterogeneous wireless spectrum sensors with(More)
Mobile telephony based on UMTS uses finite-state control schemes for wireless channels and for signaling across the network. These schemes are used systematically in various phases of the communication and are vulnerable to attacks that can bring down the network through unjustified bandwidth allocation and excessive signaling across the control plane. In(More)
The increase of the number of smart devices using mobile networks’ services is followed by the increase of the number of security threats for mobile devices, generating new challenges for mobile network operators. Signaling attacks and storms represent an emerging type of distributed denial of service (DDoS) attacks and happen because of special malware(More)
Signaling related attacks, such as the signaling storms, threaten the stability of mobile networks and are a frequent cause of multiple service degradations and even several network outages. This paper proposes a performance evaluation approach to the problem using techniques from probability theory, in general Markov Chains and queueing networks. It(More)