Artificial intelligence is a branch of computer science, which uses visual perception, recognition, decision-making, and translation between languages, to make a machine intelligent without assistance of humans.
Artificial intelligence is a branch of computer science, which uses visual perception, recognition, decision-making, and translation between languages, to make a machine intelligent without assistance of humans. Artificial intelligence techniques can be used for security management purposes to protect any system from security attacks or threats by warning the user in real-time. For example, Intrusion Detection System is a mode of security software that can automatically detect if someone is trying to hack confidential information through malicious activities or security policy violations, further alerting the user about the attempt to intrude data. Similarly, cryptography is a method of analyzing and transmitting data in a particular form that shares the data only with an intended user.
Rampant advancements in technology and increasing use of 2G, 3G, and 4G Long-Term Evolution (LTE) wireless networks, along with the introduction of 5G mobile networks, are major factors driving growth of the global market for based security. These cellular networks enable connectivity and communications to exchange real time information, data, and online transactions among other activities, which are prominent targets of cyber-attacks. . For instance, according to the Internet Crime Complaint Center (IC3), in 2016, cybercrimes resulted in losses of over US$1.33 billion, globally. This in turn, is expected to boost the demand for security solutions, thus boosting growth of the based security market over the forecast period.
Additionally, increasing smart city initiatives, globally, is also expected to fuel growth of the based security market. For instance, in 2015, Government of India launched ‘100 Smart Cities Mission’. Important elements of the smart city initiatives include digitalization and deployment of Wi-Fi hotspots at various locations. Public Wi-Fi networks are unsecured networks that use shared passwords. Hence, is exposed to threats such as malware, phishing, password breaches, and denial of service attacks. Increasing deployment of personal Wi-Fi facility is thus, expected to increase demand for to detect any abnormal behavior at early stages. This in turn, is expected to fuel growth of the market for in security.
Moreover, according to F-Secure Labs, daily around 5000,000 samples of data are received from customer reporting around 10,000 malware and around 60,000 malicious URLs for analysis and protection. Analysis of large amounts of data is beyond human capacity, due to which, is implemented.[…]