دانلود کتاب حملات به هوش مصنوعی -جنبه‌های جدید اکوسیستم سایبری

Artificial intelligence (AI) is one of the new state-of-the-art technologies and is an interdisciplinary concept that is observed in almost all the fields of technology and research development. In such context, “attacks on AI” is a newer threat to technology and automation. AI has received a lot of attention in all fields of technology with respect to its application and its hype in industrial revolution 4.0. As AI is evolving and improving on a wider scale, the need for securing the same is the necessity of the hour. With the state-of-the-art situation of AI, there are some limitations that developers overlook in algorithm design, which, however, attackers can use to their advantage. Cyberattacks can easily be deployed in via flaws in algorithm design, such as causing a misleading traffic signal for an autonomous vehicle. In such conditions, the face of cyber infrastructure needs to take a different path requiring comprehensive approaches for securing AI and surrounding cyber ecosystems. Attacking artificial-intelligence-based systems is the new weapon for attackers over untrusted inter–networks, so researchers need to focus more on understanding and analyzing the deep learning techniques and machine learning algorithms to address this neglected security facet of the problem. Attacks could be anticipated in the areas such as driverless/autonomous cars, UAVs such as drones, virtual agents, manipulated chat bots, robotic process automation, false emotion recognition, fake biometrics, disputed image recognition, etc. AI can be used to attack cyber-physical systems and individual sensitive information. Automatic AI attacks are deployed by attackers to steal and manipulate the data. Nonetheless, the focus of the book is on attacks on AI (the other way around) and how to operate incident response. National and international backbone systems are adopting AI in the modern technical world. Securing these systems is a continuous challenging scenario for the officials involved. Concepts associated to incident response, disaster recovery planning, and business continuity planning post-AI attacks are also part of this theme. Securing national and international cyber-physical systems toward AI attacks use cases in the field of driverless cars, automation in manufacturing, robotics and pattern recognition and is symbiotic with regard to vulnerability concerns.