The entire paper will be considered to be a basic guideline for identifying and maintaining the vulnerability that are associated with Smart Grid technology. This paper will be mainly focusing on cyber attacks however arrangement of other types of disruption can also be experienced by Smart Grid technology. The core components like the grid assets and their classification will be discussed throughout the paper. Besides this the types of cyber attacks will also be classified on the basis of protocols and components that are implemented in smart grid. Along with this the basic attack prevention frameworks will be proposed in this technical writing. For better understanding of the paper tables, figures and equation will be provided here.

In the current generation of SCADA (Supervisory Control And Data Acquisition) systems used in power grids, a sophisticated attacker can exploit system vulnerabilities and use a legitimate maliciously crafted command to cause a wide range of system changes that traditional contingency analysis does not consider and remedial action schemes cannot handle. To detect such malicious commands, we propose a semantic analysis framework based on a distributed network of intrusion detection systems (IDSes). The framework combines system knowledge of both cyber and physical infrastructure in power grid to help IDS to estimate execution consequences of control commands, thus to reveal attacker's malicious intentions. We evaluated the approach on the IEEE 30-bus system. Our experiments demonstrate that: (i) by opening 3 transmission lines, an attacker can avoid detection by the traditional contingency analysis and instantly put the tested 30-bus system into an insecure state and (ii) the semantic analysis provides reliable detection of malicious commands with a small amount of analysis time.