Lattice Structural Analysis on Sniffing to Denial of Service Attacks
| Autor: | Prabadevi, B., Jeyanthi, N., Udzir, Nur Izura, Nagamalai, Dhinaharan |
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| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | International Journal of Computer Networks & Communications (IJCNC) Vol.11, No.4, July 2019 |
| Druh dokumentu: | Working Paper |
| DOI: | 10.5121/ijcnc.2019.11406 |
| Popis: | Sniffing is one of the most prominent causes for most of the attacks in the digitized computing environment. Through various packet analyzers or sniffers available free of cost, the network packets can be captured and analyzed. The sensitive information of the victim like user credentials, passwords, a PIN which is of more considerable interest to the assailants can be stolen through sniffers. This is the primary reason for most of the variations of DDoS attacks in the network from a variety of its catalog of attacks. An effective and trusted framework for detecting and preventing these sniffing has greater significance in today's computing. A counter hack method to avoid data theft is to encrypt sensitive information. This paper provides an analysis of the most prominent sniffing attacks. Moreover, this is one of the most important strides to guarantee system security. Also, a Lattice structure has been derived to prove that sniffing is the prominent activity for DoS or DDoS attacks. Comment: 19 Pages, 8 Figures |
| Databáze: | arXiv |
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