By Aboul Ella Hassanien, Tai-Hoon Kim, Janusz Kacprzyk, Ali Ismail Awad
This quantity offers fresh learn in cyber protection and stories how corporations can achieve aggressive merits through employing the several protection ideas in real-world situations. the amount offers stories of cutting–edge applied sciences, algorithms, purposes and insights for bio-inspiring cyber security-based platforms. The e-book may be a helpful significant other and accomplished reference for either postgraduate and senior undergraduate scholars who're taking a path in cyber defense. the quantity is equipped in self-contained chapters to supply maximum analyzing flexibility.
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Additional resources for Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations
6 summarizes daily alerts count and number of IDS detection and missed alerts from IDS which have been detected by other log agents, and the total of them. The average percentage alerts for IDS alerts percentage was 56 % and was 44 % percentages for missed alerts in case of average daily alerts of 46574 alerts. 14 shows a graph chart of number of IDS detection as IDS and missed alerts from IDS which have been detected by other log agents as other log, and the total for both of them as DACM. The graph shows that the use of other agents in DACM enhances the detection rate of missed alerts.
3 DACM Design and Algorithms In this section several different individual agents and central agent implementation will be demonstrated. Different agent’s algorithms for alerts and events correlation are presented. 1 IDS Alert Correlation In this section, two IDS alerts correlation techniques are presented to enhance the correlation process presented in Comprehensive Approach Model (CAM) [25–27]. CAM results showed that the average time used to process one alert by different 1 A Bio-inspired Comprehensive Distributed Correlation Approach 13 components varies depending on used dataset.
Finally response agent was considered out of the current scope for this research, it will be interesting research topic for future work. Analysis of packet dump of the network during the period of collecting data was performed manually with Wire Shark tool ; automation of capture data packets correlation was considered out of scope for current model implementation. Several algorithms, parallelization, and enhancement are presented in detail in Sect. 3 for the sake of performance enhancement.