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The pandas.Series.corr() method used to compute the correlation between two series objects with excluding missing values. As a result, It returns a float value that varies from -1 to 1. If the output is an integer 1, which indicates the relation between two series is a strong positive relationship and if it is “-1”, which means the relationship is a strong negative relation.The series.corr() method has three parameters first one is another series object, the second one is the name of the correlation method, and the third one is min_period which is an optional one.Example 1import pandas as pd ... Read More
Biometrics is the recognition of a person by the measurement of their biological characteristics. For instance, users identifying to a computer or constructing by their fingerprint or voice is treated a biometrics identification.Biometric devices measure biological elements (like human features) to perform functions, including logging health/fitness data and authenticating users. There are some uses for the technology and a multiple methods for its implementation. Types of biometric data such as visual, audio, spatial and behavioral. Biometric security devices play an essential role in checking a person's identity by enforcing access control methods through their unique biological traits.Biometric devices authenticate users ... Read More
There are four types of attacks on biometrics devices which are as follows −Processing and Transmission Level Attacks − Several biometric systems transmit sample information to local or remote offices for processing, it is also necessary that this transmission be protect, test the transmission be intercepted, read, or altered.Most biometric systems encrypt information in transit, but not some applications and devices allow themselves to encryption. Security techniques including encryption are view as deployer-specific element of system design.Multi-factor authentication can take two primary forms such as the need of multiple biometrics or the use of biometrics in conjunction with smart cards ... Read More
The pandas.Series.copy() method is used to create a copy of a series object’s indices and its data (values). And it returns a copied series object as a result.The copy() method has one parameter which is “deep”. The default value for this deep parameter is True. When the input of the deep parameter is “True”, it means the copy method makes a deep copy of the given series indices and data also.If the input for the deep parameter is “False”, then it means the copy method creates an object without copying the data and the indices of the given series object ... Read More
Biometrics is the recognition of a person by the measurement of their biological characteristics. For instance, users identifying themselves to a computer or constructing by their fingerprint or voice is treated a biometrics identification.Biometric devices measure biological elements (like human features) to implement functions, including logging health/fitness information and authenticating users. There are multiple uses for the technology and a several methods for its implementation. Types of biometric data involve visual, audio, spatial and behavioral. Biometric security devices play an essential role in checking a person's identity by enforcing access control methods through their unique biological traits.Biometrics provide a reliable ... Read More
The combine_first() method in the pandas series is used to combine two series objects. And it works similar to the series.combine() method here the difference is it updates the null elements with elements in the same location of another series (second series object). And the combine_first() method takes only a parameter which is nothing but a second series object.The combine_first() method takes two series objects and updates the null elements by filling non-null values in another series object.Example 1import pandas as pd import numpy as np # create pandas Series1 series1 = pd.Series([2, 4, np.nan, 7]) print("First series ... Read More
There are several types of security attacks on RFID Systems which are as follows −Physical Attack − The vulnerabilities in the implementation of larger level or transmission protocols, which are represented in the manufacturing process of RFID can be used in physical-layer attacks. One of the significant attacks which is categorized in physical-attacks is traceability attack, which abuses the alteration in the manufacturing process of tags.Spoofing Attack − In this method, false information which the system accepts is created by an attacker. Some important information that can be altered in RFID networks including MAC Address, IP, and domain name are ... Read More
The combine() method in pandas series combines two series objects or combines a series with a scalar according to the specified function. The combine() method takes two required positional arguments. The first argument is another series object or a scalar, and the second argument is a function.The combine() method takes elements from series objects and a value from its parameter based on the specified function it will combine both series and scalar and returns a series object.Example 1import pandas as pd # create pandas Series series = pd.Series({'i':92, 'j':70, "k":88}) print("Series object:", series) # combine series with ... Read More
In RFID, it is a technology that incorporates the need of electromagnetic or electrostatic coupling in the radio frequency (RF) portion of the electromagnetic spectrum to uniquely recognize an object, animal or person.The slow cost adoption of the RFID technology in the mass industry even after the presence of a large number of advantages clearly points that this technology is not ready for such a broad spread adoption because of a number of limiting factors. There are various disadvantage of RFID which are as follows −The RFID technology proves to be unreliable in channels such as metals or liquids where ... Read More
The pandas series combine() method is used to combine two series objects according to the specified function. The series.combine() method takes two required positional arguments. The first argument is another series object, the second argument is a function.The method combines two elements from each series objects based on the specified function and returns that as an element of the output series object.This method has one optional parameter which is fill_value. If the index is missing from one or another series object, then we can fill that missing index value with a specified value otherwise the value will be Nan by ... Read More