Traffic classification is a major component of automated intrusion detection systems. They are used to identify patterns as well as indication of network resources for priority customers, or identify customer use of network resources that in some way contravenes the operator’s terms of service. Generally deployed Internet Protocol (IP) traffic classification techniques are based approximately on direct inspection of each packet’s contents at some point on the network. Source address, port and destination address are included in successive IP packet's with similar if not the same 5-tuple of protocol type. ort are considered to belong to a flow whose controlling application we wish to determine. Simple classification infers the controlling application’s identity by assuming that most applications consistently use well known TCP or UDP port numbers. Even though, many candidates are increasingly using unpredictable port numbers. As a result, more sophisticated classification techniques infer application type by looking for application-specific data within the TCP or User Datagram Protocol (UDP) payloads.
The modern ransomware attack was born from two innovations in the early part of this decade: encryption and bitcoin. Mirai Botnet, WannaCry, Petya, NotPetya attacks were launched one after the other in 2017. With the Mirai Botnet attack in 2017, compromises and hacking took mainstage with exposing vulnerabilities in IoT in relation to home monitoring and devices. However, the concern is beyond the home as well. Vulnerabilities in smartphone apps can also be used to introduce malware. Vehicle-to-vehicle (V2V) communication and vehicle-to-everything (V2X) communication are being enabled with smart cities and next-generation mobile and Wi-Fi standards. Key fob scanning, taking control over air bag systems, and anti-collision systems are all possibilities. Security will remain a key part of the IoT deployment and proliferation.
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