Author
Listed:
- Amit Rajbanshi
- Shuvam Bhimrajka
- C. K. Raina
Abstract
Cyber-attackers unit investment automation technology to launch strikes, whereas many organisations unit still victimisation manual efforts to mixture internal security findings and contextualising them with external threat data. Victimisation these ancient ways that, it'll take weeks or months to sight intrusions, throughout that amount attackers can exploit vulnerabilities to compromise systems and extract info. To wear down these challenges, progressive organisations unit exploring the employment of AI (AI) in their regular cyber risk management operations. The speed of processes and conjointly the amount of data to be used in defensive the cyberspace can't be handled by humans whereas not sizeable automation. However, it's hard to develop code with customarily mounted algorithms (hard-wired logic on deciding level) for effectively defensive against the dynamically evolving attacks in networks. this instance is also handled by applying methods of computing that supply flexibility and learning capability to code. it has become obvious that many cyber security problems is also resolved with success solely strategies of AI area unit obtaining used. for example, wide data usage is vital in deciding, and intelligent decision support is one altogether but unresolved problems in cyber security.
Suggested Citation
Amit Rajbanshi & Shuvam Bhimrajka & C. K. Raina, 2017.
"Artificial Intelligence in Cyber Security,"
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(3), pages 132-137, June.
Handle:
RePEc:jbh:ijsrcs:v2:y2017:i3:id:hcseit1722265
Note: Article URL: https://ijsrcseit.com/CSEIT1722265
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