Improving the low-probability password hit rate in this interval is of great significance for improving the efficiency of offline attacks. In real attack scenarios, high-probability passwords are easy to enumerate extremely low-probability passwords usually lack semantic structure and, so, are tough to crack by applying statistical laws in machine learning models, but these passwords with lower probability have a large search space and certain semantic information. Identity authentication based on password authentication is the first line of defense however, the password-generation model is widely used in offline password attacks and password strength evaluation. With the development of the Internet, information security has attracted more attention. KEYWORDS RFID, brute-force attack, Markov-model, entropy, fuzzy logic. Our algorithm is design by modern techniques based on entropy, password length, cardinality, Markov-model and Fuzzy Logic. For the sake of this paper, an algorithm was designed to ensure and measure the strength of passwords used in the authentication process between tag and reader to enhance security in their communication and defend against brute-force attacks. This paper sheds light on the weaknesses of RFID system and identifies the threats and countermeasures of possible attacks. Some active tags are low cost and basic tags cannot use standard cryptographic operations where the uses of such techniques increase the cost of these cards. Due to the increasing use of RFID in various industries, security and privacy issues should be addressed carefully as there is no efficient way to achieve security in this technology. RFID systems are one of the important techniques that have been used in modern technologies these systems rely heavily on default and random passwords. Comparative analysis has been carried out and based on that suggestions are given to create strong Markov Password for Secured System. Average time, Maximum and Minimum time to crack Markov Password are also tabulated. The results are incorporated by means of graph: Password vs. For analysis 40 random Password generated by Markov Chain are considered. Analysis on Markov Password against Brute force attack is carried out using two open source tools. In this paper, a report on a study of brute force attack on Markov Passwords has been done. Common attacks on Password s are Brute force attack, Dictionary attack and Hybrid attack. Password Crackers use different techniques with available large number of tools to crack down Password easily. This technique can be used as authentication for web applications. Markov Passwords are created using the model of the Markov chain. A novel method of Alphanumeric Password for improving the security is "The Markov Password". Authentication to access an application in networks is mostly based on alphanumeric Password. Hacking the systems and cracking the login Passwords makes the field in endure on the other hand. With massive growth in the field of computers, advancement in digital technology, development in software's gives improvement to computer field on one side.
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