Download Bio-inspiring Cyber Security and Cloud Services: Trends and by Aboul Ella Hassanien, Tai-Hoon Kim, Janusz Kacprzyk, Ali PDF

By Aboul Ella Hassanien, Tai-Hoon Kim, Janusz Kacprzyk, Ali Ismail Awad

This quantity provides fresh examine in cyber protection and studies how businesses can achieve aggressive benefits through using the several safeguard thoughts in real-world situations. the amount offers stories of cutting–edge applied sciences, algorithms, functions and insights for bio-inspiring cyber security-based structures. The publication can be a priceless better half 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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Using the simplicity of the relationship between individual agents, it is an easy and simple task for each individual agent to correlate its alerts and shares its output with other agents. This approach reduces the overhead and enables the ideal use of system resources such as memory and CPU. DACM enables minimum correlation time of ABCM as IDS alerts correlation technique and allows continuous adaptive 1 A Bio-inspired Comprehensive Distributed Correlation Approach 35 learning to update ACCL, assuring the use of suitable correlation components for different datasets.

2 DACM components structure used by the individual local agents and central agent to discover the related attacks. These information are saved in database tables which include preconditions and post conditions for multi-step attacks, specific learning parameters, normal and attack profiles, attacks response matching, access control list which mention system users and their privileges. Some threshold values for profile matching such as performance measure, time of use, and network reconnaissance measures are also saved in the knowledge base.

The visit location was the Center for Education and Research in Information Assurance and Security (CERIAS) [35]. Data was collected through the period of June 11–28 2010. It consists of three main sources: Snort [36] alerts, network packet data, and application and system log messages. 0/24 subnets. Snort captured almost 800,000 alerts in this period. The alerts were stored in database tables within a MySQL database and are accessed through the ACIDBASE [37] web interface. 04 Linux-based OS. We used Wireshark [31] to capture network packets traffic for CERIAS website (kargad) which contains detailed packet information.

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