DESIGN AND IMPLEMENTATION OF ELECTRONIC COGNITIVE-COUNTERMEASURE AGAINTS POWER ANALYSIS ATTACK

• Main Author: Dwi Putra , Septafiansyah
• Format: Dissertations
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/30878
• Institution: Institut Teknologi Bandung

Nowadays, digital communication systems are utilized to transmit data and information. Many methods are being developed to secure the information from eavesdropping and theft into a more complex entity. The information value will always increase when the utilization on digital communication system increase. On the other hand, the increase in the utilization of digital communication system will induce an increase on the number of attacks on the system. Side channel attack (SCA) is an attack model that could disrupt the information security when a hardware is implementing a cryptographic algorithm. Power Analysis is one kind of SCA that could reveal a secret information. The secret information is the secret key used in an encryption hardware. One of the first most recognizable techniques is the differential power analysis (DPA), introduced by Paul Kocher in 1999, and revealed 75% of the used secret key. The second technique is the CPA (correlation power analysis), proposed in many forms of articles, uses correlation factor between trace and hamming weight from the input of key generation. The result of the CPA is the significantly shorter span of time in finding the right secret key of AES (advanced encryption standard). The objective of this dissertation is to design and implement electronic countermeasure to deal with power analysis attack. Therefore, the attacking aspect is reviewed as a form of identification of the correct countermeasure method against power analysis attack with cognitive countermeasure approach in an AES encryption device. This research’s main contribution is in the design of cognitive-countermeasure by altering the measured power consumption in affecting the secret key value of power analysis. The measured signal is altered by generating random masking value using information fusion mechanism as the method of cognitive artificial intelligence. Cognitive artificial intelligence is a new direction of artificial intelligence character by having the capability of information fusion. The random alteration of measured signal and continuous evolution of the masking value by using information fusion method is very significant in tackling the risk of power analysis. <br />