Ways for protection against various attacks in the Internet

Nayak, Akshay A; Sridhar, Nigamanth; Poornima, G R; Shankar, Shiva

doi:10.1109/rteict.2017.8256552

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…It was an outstanding accomplishment that the malicious code could be seen as a grey gif. This approach has been used by other researchers to identify and extract malware [11,20] It was a tremendous accomplishment to be able to imagine the malicious code as a grey graphic. Many researchers have used this technique to identify and track malware.…”

Section: Related Workmentioning

confidence: 99%

Supervised Deep Learning Vector Quantization to Detect MemCached DDOS Malware Attack on Cloud

Arul¹,

Punidha²

2021

SN COMPUT. SCI.

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Weak defence makes it vulnerable to multiple cloud devices, and victims often do not even know it has been compromised. Cloud assaults were planned, and the weakening of home automation and home safety technologies was addressed over a long period of time. The threats, however, were of a different kind. The target appears to be less interested in attackers, and everyone else is attempting to hack the system and connect it to the DDoS network to strike. A DDoS attack is a cyber-attack targeting MemCached, a caching mechanism intended to speed up websites and networks up to the MemCached Database. It helps to crash the database by overwhelming a website or application. Internet hackers submitted spoof applications to the insecure UDP MemCached site, which conceals the true identity of the sender by dressing up the IP address. The UDP is especially vulnerable since the data must be exchanged by the receiver before the contact ceases. The proposed version of Supervised SD-LVQ was used to detect MemCached attacks by malicious firmware on different Cloud computers. LVQ classifies a number of application service calls associated with multiple types of destructive attacks on cloud computers that have been MemCached for DDoS attacks. Test findings reveal that 97.23% is actually positive and 0.03% is unfairly negative.

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Section: Related Workmentioning

confidence: 99%