The Cybersecurity Playbook

Index

A

• Abdulmutallab, Umar Farouk, 178
• Administrators, locking out, 10
• Adversaries, 47–68
  • adversarial machine learning (AML), 164–165
  • airline industry's response to hijacking, 175–179
  • botnets, 77
  • cybersecurity hygiene importance and, 63–66
  • defense against, 54–59
  • employees' compliance as response for, 62–63
  • employees' need for awareness of, 59–61
  • hackers' motivation, 30–33
  • hacking example, 1–8, 82
  • personal responsibility for protection from, 14–17
  • phishing by, 53, 60, 61, 156–158
  • proactive response for, 61–62
  • ransomware threat, 31
  • ransomware vs. WannaCry, 132–133
  • social engineering, example, 48–52
  • social engineering, types, 53–54
  • spectators and influence on outcome, 17–19
  • taking precautions against, 8–13
  • W.I.S.D.O.M., defined, 19–21
  • worms, 132–133
• Advertising, paying directly for, 11–12
• Airline industry, 169–185
  • culture of security vs. past practices, 172–175
  • hijacking issues of past, 175–179
  • as modern-day mundane routine, 169–171
  • reaction to safety problems in, 182–184
  • safety checks performed by, 179–182
• Angelou, Maya, 124
• Animal behavior, herd instinct and, 187–190
• Apricorn, 29
• Artificial intelligence (AI)
  • adversarial machine learning (AML), 164–165
  • detection tools, 10
  • to identify threats, 163–166
  • used in social engineering, 62
• Audit, of third-party security practices, 144–145
• Automation, cybersecurity industry and, 33–38
• Automotive Edge Computing Consortium, 78
• Autonomous cars, weaponizing, 78–79
• Aviation Safety Network, 181
• AWS, 81

B

• Bed bug metaphor, 137–138
• Behavioral ...