shubhagrwl

C-plus-plus-programming

Programming Questions for beginners

cme

Detecting-IP-Spoofing-Attacks-using-Deep-Learning--ML

Intrusion detection system is one of the most important parts of network security in competing against illegitimate network access. Intruder uses hijacking technique like host file hijack or IP spoofing, which is IP address forgery. There are different ways by which intrusion can take place, such as fake emailing and denial of service attack. In such kind of intrusion it is difficult to find the identity of the sender. Because of this, the system or the main server can crash from the overloading requests coming from an unauthorized source. Therefore, the system becomes unresponsive to the authorized requests. In the IP address spoofing, the attacker’s mimics as the legitimate user and access the network authorization. Further, it modifies the packet headers of the authorized users IP address. To mitigate this issue, in this thesis work, a new intrusion detection method has been introduced for preventing IP spoofing attack. The properties of nodes are optimized by using artificial bee colony optimization (ABC). Furthermore, the neural network model is trained using the optimized properties to predict the output in terms Packet delivery ratio (PDR), throughput and energy consumption.

DLT-Kannel-SMS-Gateway

DLT-ksmppd

ExchangeRate

ExchangeRates

gqlgen-auth

greenhouse-ui

KannelRetry

shubhagrwl/DLT-Kannel-SMS-Gateway

shubhagrwl/Detecting-IP-Spoofing-Attacks-using-Deep-Learning--ML

Intrusion detection system is one of the most important parts of network security in competing against illegitimate network access. Intruder uses hijacking technique like host file hijack or IP spoofing, which is IP address forgery. There are different ways by which intrusion can take place, such as fake emailing and denial of service attack. In such kind of intrusion it is difficult to find the identity of the sender. Because of this, the system or the main server can crash from the overloading requests coming from an unauthorized source. Therefore, the system becomes unresponsive to the authorized requests. In the IP address spoofing, the attacker’s mimics as the legitimate user and access the network authorization. Further, it modifies the packet headers of the authorized users IP address. To mitigate this issue, in this thesis work, a new intrusion detection method has been introduced for preventing IP spoofing attack. The properties of nodes are optimized by using artificial bee colony optimization (ABC). Furthermore, the neural network model is trained using the optimized properties to predict the output in terms Packet delivery ratio (PDR), throughput and energy consumption.

shubhagrwl/DLT-ksmppd

shubhagrwl/C-plus-plus-programming

Programming Questions for beginners

shubhagrwl/cme

shubhagrwl/ExchangeRate

shubhagrwl/ExchangeRates

shubhagrwl/gqlgen-auth

shubhagrwl/greenhouse-ui

shubhagrwl/KannelRetry

shubhagrwl/Machine-Learning-and-Artificial-Intelligence-Practice-Project

This repository will help you to do practice on Machine Learning and Artificial Intelligence.

shubhagrwl/Python

This repository will help you to do practice on various python problems.

shubhagrwl/sbom

sbom checksum checker

shubhagrwl/uniswap_v3_pool

shubhagrwl/whatsmeow

Go library for the WhatsApp web multidevice API