Cơ bản về An toàn Thông tin

# Cybersecurity Risk Assessment Framework\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport seaborn as sns\n\nclass SecurityRiskAssessment:\n    def __init__(self):\n        self.assets = []\n        self.threats = []\n        self.vulnerabilities = []\n        self.risk_matrix = None\n    \n    def add_asset(self, name, category, value, criticality):\n        """Add asset to assessment\n        \n        Args:\n            name: Asset name\n            category: Type (Server, Database, Network, etc.)\n            value: Business value (1-5 scale)\n            criticality: Impact if compromised (1-5 scale)\n        """\n        self.assets.append({\n            "name": name,\n            "category": category,\n            "value": value,\n            "criticality": criticality\n        })\n    \n    def calculate_risk_scores(self):\n        """Calculate risk scores for all asset-threat combinations"""\n        risk_data = []\n        \n        for asset in self.assets:\n            for threat in self.threats:\n                # Calculate impact and likelihood\n                impact = threat["impact"] * asset["criticality"]\n                likelihood = threat["likelihood"]\n                risk_score = impact * likelihood\n                \n                risk_data.append({\n                    "asset": asset["name"],\n                    "threat": threat["name"],\n                    "impact": impact,\n                    "likelihood": likelihood,\n                    "risk_score": risk_score,\n                    "risk_level": self._categorize_risk(risk_score)\n                })\n        \n        self.risk_matrix = pd.DataFrame(risk_data)\n        return self.risk_matrix