By Artificial intelligence and the machine learning that helps with the huge the volume of the data into actionable insights they can tangibly improve the organization cybersecurity efforts, Also cybercriminals will also have to leverage them to launch sophisticated attacks via Artificial intelligence botnets and also better design phishing attacks etc(Atul Harilal,)
The design and outcome of the gamified competition that was devised in order to obtain a data set that is containing realistic instances of insider threats. The competition simulated user interactions are among competing companies where two types of behaviours that are incentivized. There are designed sessions for two types of insider threats .in today's world insider has the potential to bring harm to the organization in which they work. Consisting knowledge of the edge of the insider.
In particular the detection of masqueraders that have been studied actively since the work, who profiled that the interaction of the various users in the Unix operating system .by recording commands issued in a shell. The datasets were often used to evaluate algorithms that are addressed user authorization which is related but not equivalent to the masquerader detection on the other side the existing data sets in which the malicious data were collected either by synthetic dataset etc. It is important to know about the potential risks of the threats that have the potential to bring harm to the organization.
Collected dataset: The collected data set is about the user interactions in a simultaneous corporate environment and whose purpose was to provide a comprehensive data set containing interactive malicious insider threat activities involving both masquerader traitors.
The collected data from several heterogeneous sources as an attempt to study their cumulative effect for detection of malicious attacks. Also, the data sets have been anonymized in order to not reveal any privacy-sensitive information. During the competition that was also observed some interesting events .as such as the teams deploying effective countermeasures that protected their assets from masquerade attacks. The overall review about the insider threat and defense solutions, in particular, are the divided commonly used the datasets for the five categories. Masquerader based, traitor based, miscellaneous malicious, substituted masqueraders etc.
Also which yields malicious and benign branches for the malicious intent branch, by the manner in which the policy violation was executed either by the user of the legitimate user's branch by the manner in which the policy volition was executed either by the user of legitimate users access .by obtaining unauthorized access or when both of the cased are included in a dataset separately
References: https://www.researchgate.net/publication/320745933_TWOS_A_Dataset_of_Malicious_Insider_Threat_Behavior_Based_on_a_Gamified_Competition
https://www.cisecurity.org/blog/cybersecurity-trends-for-2019/
Akil
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