The study investigates false channel condition reporting attacks in channel-aware wireless networks, where users report their channel conditions to optimize resource allocation. It identifies the vulnerabilities posed by such attacks and proposes a secure channel condition estimation algorithm to mitigate these risks, evaluating its performance through analysis and simulation. The paper highlights that existing protocols struggle with challenges like QoS guarantees and attack identification, while the proposed solution enhances network efficiency and security.

1. A Study on False Channel Condition Reporting Attacks in
Wireless Networks
ABSTRACT:
Wireless networking protocols are increasingly being designed to exploit a user’s
measured channel condition; we call such protocols channel-aware. Each user
reports the measured channel condition to a manager of wireless resources and a
channel-aware protocol uses these reports to determine how resources are allocated
to users. In a channel-aware protocol, each user’s reported channel condition
affects the performance of every other user. The deployment of channel-aware
protocols increases the risks posed by false channel-condition feedback. In this
paper, we study what happens in the presence of an attacker that falsely reports its
channel condition. We perform case studies on channel-aware network protocols to
understand how an attack can use false feedback and how much the attack can
affect network performance. The results of the case studies show that we need a
secure channel condition estimation algorithm to fundamentally defend against the
channel-condition misreporting attack. We design such an algorithm and evaluate
our algorithm through analysis and simulation. Our evaluation quantifies the effect

2. of our algorithm on system performance as well as the security and the
performance of our algorithm.
EXISTING SYSTEM:
Many protocols in modern wireless networks treat a link’s channel condition
information as a protocol input parameter; we call such protocols channel-aware.
Examples include cooperative relaying network architectures, efficient ad hoc
network routing metrics, and opportunistic schedulers. While work on channel-aware
protocols has mainly focused on how channel condition information can be
used to more efficiently utilize wireless resources, security aspects of channel-aware
protocols have only recently been studied. These works on security of
channel-awareprotocols revealed new threats in specific network environments by
simulation or measurement. However, under-standing the effect of possible attacks
across varied network environments is still an open area for study.
DISADVANTAGES OF EXISTING SYSTEM:
 Difficult to guarantee QoS in MANETs due to their unique features
including user mobility, channel variance errors, and limited bandwidth.

3.  Although these protocols can increase the QoS of the MANETs to a certain
extent, they suffer from invalid reservation and race condition problems.
PROPOSED SYSTEM:
The false channel condition reporting attack that we introduce in this paper is
difficult to identify by existing mechanisms, since our attack is mostly protocol
compliant; only the channel-condition measurement mechanism need to be
modified. Our attack can thus be performed using modified user equipment
legitimately registered to a network.
ADVANTAGES OF PROPOSED SYSTEM:
 The source node schedules the packet streams to neighbors based on their
queuing condition, channel condition, and mobility, aiming to reduce
transmission time and increase network capacity.
 Taking full advantage of the two features, QOD transforms the packet
routing problem into a dynamic resource scheduling problem.

4. SYSTEM ARCHITECTURE:
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
 System : Pentium IV 2.4 GHz.
 Hard Disk : 40 GB.
 Floppy Drive : 1.44 Mb.
 Monitor : 15 VGA Colour.
 Mouse : Logitech.
 Ram : 512 Mb.

5. SOFTWARE REQUIREMENTS:
 Operating system : Windows XP/7/LINUX.
 Implementation : NS2
 NS2 Version : NS2.2.28
 Front End : OTCL (Object Oriented Tool Command
Language)
 Tool : Cygwin (To simulate in Windows OS)
REFERENCE:
Dongho Kim and Yih-Chun Hu, “A Study on False Channel Condition
Reporting Attacks in Wireless Networks”, IEEE TRANSACTIONS ON
MOBILE COMPUTING, VOL. 13, NO. 5, MAY 2014.