Phishing is a crime where the victim is contacted by an attacker posing as a trustworthy source and lure them into providing sensitive information. This work makes sure that time delay is averted and the attack can be thwarted with fewer computational resources. To solve the above mentioned problem, a web browser add-on that works as a background script on the client side is implemented. All the background scripts made cross platform compatible to make the development easier and more efficient. The contribution in this paper is the new add-on, Off-the-hook-plus. The main objective of this Off-the-hook-plus is to find if the web page that the user visits is a phish or not. The page redirect logs along with the page details are used to find if the site is a phish or not. And then if the site happens to be a phish, the similar looking site which this web page tries to impersonate is given. To make the repeated accesses faster, a whitelist is maintained, where all the safe sites are logged. The add-on is experimentally evaluated and the results are discussed and is found to be effective.
Wireless sensor networks (WSNs) are open to false data injection attack when they are deployed in hostile scenarios. Attackers can easily deceive the sink by compromising sensing nodes or by injecting phoney data into the network. Such attacks can deplete the energy resources of the network by providing wrong information which in turn can affect the proper network functioning or sometimes can shut the network from further functioning. The existing schemes that deal with this problem focus on only a few aspects of the false data injection attack. To resolve this problem, we propose a Rank-based Report Filtering Scheme (RRFS), a holistic and group verification scheme for the identification of compromised nodes and the filtering of false data injected into the network. The proposed scheme verifies report among clusters, en-routers, and sink. Hence, the RRFS, a holistic scheme that is composed of three-tier verifications, successfully rejects the false data before the attackers falsify the whole environment, and this makes the system unique. Reliability Index (RI) is calculated by the nodes for fellow cluster members, and the cluster head (CH) provides the score for a node based on its RI. This, in turn, strengthens the scheme by assisting the en-routers to detect the compromised nodes. The RRFS scheme has been verified and validated by extensive simulation and meticulous performance evaluation of filtering efficiency and energy consumption against various schemes. The scheme gives high filtering efficiency against the multiple compromised nodes and also improves the network’s lifespan. The sustainability of RRFS against numerous attacks that are launched in the sensor environment is thoroughly investigated.
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