@article{MAKHILLIJSC201611721385,
    title = {Direct and Indirect Approach Based Reputation Scheme Framework for
Detecting Blackhole Attacks in Manets},
    journal = {International Journal of Soft Computing},
    volume = {11},
    number = {7},
    pages = {492-496},
    year = {2016},
    issn = {1816-9503},
    doi = {ijscomp.2016.492.496},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2016.492.496},
    author = {V. and},
    keywords = {reputation based model,blackhole,AODV (Ad-hoc On Demand Vector),direct indirect approach,India},
    abstract = {Security attacks in MANETs can happen in any layer of the protocol stack. The attack can be a active
attack or passive attack. In network layer attack by misbehaving nodes called “malicious nodes” can disrupt
the proper functioning of the underlying routing protocol by corrupting the routing information in terms of
tailoring false routing information or “impersonating other nodes”. Few malicious node attack patterns are
Blackhole attack wormhole attack or tunnelling, grayhole attack etc. In this study, we have proposed a direct
and indirect approach based reputation scheme framework for detecting blackhole attacks in MANETS. But this
proposed framework improvises the AODV protocol towards achieving the goal of detecting the malicious
nodes attack in MANETS. Thus, improving the performance of reputation approach is shown and analysed
using the throughput as a metric in this study.}
    }