With the major advancements in the field of technology and electronics, one persistent obstacle has proven to be one of the major challenges, namely : Data Security. To get connected securely and quickly through the electronic data transfer through the web, the data should be encrypted. Encryption is the process of transforming plain text into ciphered-text, which cannot be understood or altered easily by undesirable people. It can also be defined as the science that uses mathematics in data encryption and decryption operations. In this paper, we discuss several important algorithms used for the encryption and decryption of data in all fields, to make a comparative study for most important algorithms in terms of data security effectiveness, key size, complexity and time, etc. This research focused on different types of cryptography algorithms that are existing, like AES, DES, TDES, DSA, RSA, ECC, EEE and CR4…etc.
In this paper, we proposed a new authentication method for the Internet of Things IoT devices based on electroencephalography EEG signals, and hand gestures. The proposed EEG signals authentication method used low price NeuroSky MindWave headset and was based on choosing the adaptive thresholds of attention and meditation mode for the authentication key. Hand gestures to control authentication processes by using a general camera. To verify that a new authentication method is widely accepted, it must meet two main conditions security and usability. The evaluation of the prototype usability was based on ISO 9241-11:2018 standards usability model. Results revealed that our proposed demonstrated the ability of authentication by using EEG signals with the effectiveness of 92%, the efficiency of 93%, and User-Satisfaction is acceptable and satisfying. To assess evaluate the security of the prototype, we consider the most important three threats related to IoT devices are guessing, physical observation, and targeted impersonation. The results showed that the password strength, using the proposed system is stronger than that with a traditional keyboard, the proposed authentication method resistant to target impersonation and physical observation.
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