The raw network packets of the UNSW-NB151 dataset was created by the IXIA PerfectStorm tool in the Cyber Range Lab of the Australian Centre for Cyber Security (ACCS) for generating a hybrid of real modern normal activities and synthetic contemporary attack behaviours. Tcpdump tool used to capture 100 GB of the raw traffic (e.g., Pcap files). This data set has nine types of attacks, namely, Fuzzers, Analysis, Backdoors, DoS, Exploits, Generic, Reconnaissance, Shellcode and Worms. The Argus and Bro-IDS tools are used and twelve algorithms are developed to generate totally 49 features with the class label. Make at least 4 Hive queries (refer to the marking scheme). Apply appropriate visualization tools to present your findings numerically and graphically. I need some help as to how should I approach this question. I have been learning Hadoop from my university but the resources they have provided are all over the place and not really explaining from beginning to end. I am stuck with the question.
The raw network packets of the UNSW-NB151 dataset was created by the IXIA PerfectStorm tool in the Cyber Range Lab of the Australian Centre for Cyber Security (ACCS) for generating a hybrid of real modern normal activities and synthetic contemporary attack behaviours. Tcpdump tool used to capture 100 GB of the raw traffic (e.g., Pcap files). This data set has nine types of attacks, namely, Fuzzers, Analysis, Backdoors, DoS, Exploits, Generic, Reconnaissance, Shellcode and Worms. The Argus and Bro-IDS tools are used and twelve
Make at least 4 Hive queries (refer to the marking scheme). Apply appropriate visualization tools to present your findings numerically and graphically.
I need some help as to how should I approach this question. I have been learning Hadoop from my university but the resources they have provided are all over the place and not really explaining from beginning to end. I am stuck with the question.
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