An Error-Minimizing Framework for Localizing Jammers in Wireless Networks

An Error-Minimizing Framework for Localizing Jammers in Wireless Networks

ABSTRACT:

Jammers can severely disrupt the communications in wireless networks, and jammers’ position information allows the defender to actively eliminate the jamming attacks. Thus, in this paper, we aim to design a framework that can localize one or multiple jammers with a high accuracy. Most of existing jammer-localization schemes utilize indirect measurements (e.g., hearing ranges)affected by jamming attacks, which makes it difficult to localize jammers accurately. Instead, we exploit a direct measurement—the strength of jamming signals (JSS). Estimating JSS is challenging as jamming signals may be embedded in other signals. As such, we devise an estimation scheme based on ambient noise floor and validate it with real-world experiments. To further reduce estimation errors, we define an evaluation feedback metric to quantify the estimation errors and formulate jammer localization as a nonlinear optimization problem, whose global optimal solution is close to jammers’ true positions. We explore several heuristic search algorithms for approaching the global optimal solution, and our simulation results show that our error-minimizing-based framework achieves better performance than the existing schemes. In addition, our error-minimizing framework can utilize indirect measurements to obtain a better location estimation compared with prior work.

EXISTING SYSTEM:

Jammer-localization schemes utilize indirect measurements (e.g., hearing ranges) affected by jamming attacks, which makes it difficult to localize jammers accurately. The emergence of software-defined radios has enabled adversaries to build intentional jammers to disrupt network communication with little effort. Unintentional interference or malicious jamming, one or multiple

jammers/interferers may coexist and have a detrimental impact on network performance—both can be referred as jamming. To ensure the successful deployment of pervasive wireless networks, it is crucial to localize jammers, since the locations of jammers allow a better physical arrangement of

wireless devices that cause unintentional radio interference, or enable a wide range of defense strategies for combatting malicious jamming attackers.

DISADVANTAGES OF EXISTING SYSTEM:

·        Indirect measurements (e.g., hearing ranges) affected by jamming attacks.

·        Difficult to localize jammers.

·        Disruption of network communication.

PROPOSED SYSTEM:

In proposed system, we focus on localizing one or multiple stationary jammers. Our goal is to extensively improve the accuracy of jammer localization. Current jammer-localization approaches mostly rely on parameters derived from the affected network topology, such as packet

delivery ratios, neighbor lists, and nodes’ hearing ranges. The use of these indirect measurements

derived from jamming effects makes it difficult to accurately localize jammers’ positions. Furthermore, they mainly localize one jammer and cannot cope with the cases that multiple jammers are located close to each other and their jamming effects overlap.

ADVANTAGES OF PROPOSED SYSTEM:

·        JSS utilizing the measurement of the ambient noise floor (ANF), which is readily availablefrom many commodity devices (e.g., MicaZ motes).

·        Avoid disturbance of network communication

·        Accuracy of the estimated locations.

SYSTEM REQUIREMENTS:

HARDWARE REQUIREMENTS:

Ø System                          :         Pentium IV 2.4 GHz.

Ø Hard Disk                      :         40 GB.

Ø Floppy Drive                 :         1.44 Mb.

Ø Monitor                         :         15 VGA Colour.

Ø Mouse                            :         Logitech.

Ø Ram                               :         512 Mb.

SOFTWARE REQUIREMENTS:

Ø Operating system           :         Windows XP/7.

Ø Coding Language :         ASP.net, C#.net

Ø Tool                     :         Visual Studio 2010

Ø Database              :         SQL SERVER 2008

REFERENCE:

Zhenhua Liu, Hongbo Liu, Wenyuan Xu, and Yingying Chen “An Error-Minimizing Framework for Localizing Jammers in Wireless Networks” IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 25, NO. 2, FEBRUARY 2014.