A Computational Intelligence System Identifying Cyber-Attacks on Smart Energy Grids

2018 ◽  
pp. 97-116 ◽  
Author(s):  
Konstantinos Demertzis ◽  
Lazaros Iliadis
Keyword(s):  
Computational Intelligence ◽  
Cyber Attacks ◽  
Intelligence System

scholarly journals A Novel Approach to Cyber Hazard Management Intelligence System

2018 ◽  
Vol 7 (2.7) ◽  
pp. 473
Author(s):  
B Bala Bharathi ◽  
E Suresh Babu
Keyword(s):  
Cyber Attacks ◽  
Hazard Management ◽  
Intelligence System ◽  
Novel Approach ◽  
Threat Intelligence ◽  
Cyber Threat ◽  
Cyber Threat Intelligence ◽  
Consistent Information ◽  
A Company ◽  
Physical Address

Detecting and defending against insider and outsider threats seems to be a major challenge for information security system. such that cyber-attacks pose a silent threat for a company with a havoc likely to be in billions, besides slaughtering investor confidence and denting brand image. Long-established and ongoing solutions target mainly to assimilate many known threats in the form of consistent information such as logical & physical address, etc. into detection and blocking techniques. Our proposed solution elongates forward by using Cyber threat intelligence (CTI) which is used to inform decisions timely regarding subject response to the menance or hazard, where the vulnerable systems are identified using honeypot, through integration of logs for detecting network, host intrusions using SIEM technology which would efficiently manage the occurrence of threat by using cyber hazard management to mitigate the cyber threat actions, fortify incident response efforts and enhance your overall security posture.  

EDITORIAL

2002 ◽  
Vol 16 (07) ◽  
pp. 773-779 ◽  
Author(s):  
NIKHIL R. PAL ◽  
SRIMANTA PAL
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Real World ◽  
Computational Intelligence ◽  
Rough Sets ◽  
Artificial Life ◽  
Considerable Potential ◽  
Intelligence System ◽  
Intelligent Behavior ◽  
Real World Problems

Irrespective of the way computational intelligence (CI) is defined, its components should have the following characteristics: considerable potential in solving real world problems, ability to learn from experience, capability of self-organizing, and ability of adapting in response to dynamically changing conditions and constraints. To summarize, it should display aspects of intelligent behavior as observed in humans. In view of these, we assume that the major ingredients of a computational intelligence system are artificial neural networks, fuzzy sets, rough sets, and evolutionary computation. Some other components that may be parts of computational intelligence (CI) systems are artificial life and immuno computing. It is a synergistic combination of all these components.

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