password cracking
Passwords are the most common form of identification. It is a combination of secret characters used to identify and authenticate users. However, one of the security threats to passwords is password cracking; measures used to gain restricted access to data or system, for example, using algorithms to guess passwords or using common passwords. Because of this, passwords are becoming obsolete and are being replaced by biometrics, zero login, implanted microchips, brain passwords, and DNA identification.
Biometrics is the use of biological characteristics such as fingerprints, face contortions, voice, and retina to identify and authenticate individuals. Biometrics is widely used in military, voter registration, physical access control, public security, and border control. To reduce error rates, biometric features are now being used in combination — for example, the use of both the face and iris for identification.
Smart Homes have devices and appliances connected to the internet to enable remote monitoring and management. Self-installed home automation system products include devices connected on multiple networks with various cloud services and Artificial Intelligence running them. However, such homes are prone to security threats such as man-in-the-middle, which reduces the efficiency and control of the systems. Vulnerabilities can be found in the home router or the appliances connected.
Honey Pot is a security trap deployed to detect or divert system attackers from their real target. This security monitoring system appears legitimate and usually runs expected production processes and contains dummy files. Honey pots allow system owners to respond before an attack is made to infiltrate into the system. The two types of honey pots are production and research honey pots. Research honey pots collect information about attacker trends, vulnerabilities, and the malware stains attackers are targeting. On the other hand, phttps://studygroom.com/organizations-financial-budgeting/roduction honey pots are focused on identifying the active compromise of internal networks and confusing attackers.