Detection and Defense Against Packet Drop Attack in MANET
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 2
Abstract
MANET is a temporary network for a specified work and with the enormous growth MANETs it is becoming important and simultaneously challenging to protect this network from attacks and other threats. Packet drop attack or gray hole attack is the easiest way to make a denial of service in these dynamic networks. In this attack the malicious node reflects itself as the shortest path and receives all the packets and drops the selected packets in order to give the user the service that that is not correct. It is a specific kind of attack and protects the network and user from detecting this malicious activity. In this article I have proposed an efficient for step technique that confirms that this attack can be detected and defended with least efforts and resource consumption.
Authors and Affiliations
Tariq Ahamad
Keywords
Related Articles
- EP ID EP122978
- DOI 10.14569/IJACSA.2016.070246
- Views 74
- Downloads 0
An Algorithmic approach for abstracting transient states in timed systems
In previous works, the timed logic TCTL was extended with importants modalities, in order to abstract transient states that last for less than k time units. For all modalities of this extension, called TCTL?, the decidab...
Message Segmentation to Enhance the Security of LSB Image Steganography
Classic Least Significant Bit (LSB) steganography technique is the most used technique to hide secret information in the least significant bit of the pixels in the stego-image. This paper proposed a technique by sp...
Enhancement in System Schedulability by Controlling Task Releases
In real-time systems fixed priority scheduling techniques are considered superior than the dynamic priority counterparts from implementation perspectives; however the dynamic priority assignments dominate the fixed prior...
Spatial-Temporal Variations of Turbidity and Ocean Current Velocity of the Ariake Sea Area, Kyushu, Japan Through Regression Analysis with Remote Sensing Satellite Data
Regression analysis based method for turbidity and ocean current velocity estimation with remote sensing satellite data is proposed. Through regressive analysis with MODIS data and measured data of turbidity and ocean cu...
Industrial Financial Forecasting using Long Short-Term Memory Recurrent Neural Networks
This research deals with the industrial financial forecasting in order to calculate the yearly expenditure of the organization. Forecasting helps in estimation of the future trends and provides a valuable information to...