Symmetric Encryption Relying on Chaotic Henon System for Secure Hardware-Friendly Wireless Communication of Implantable Medical Systems
- Authentication: Authentication  is one of the most common ways to secure two communicating devices. It ensures that both ends communicate with an authentic and legitimate device, not an impersonator. Authentication in IMDs may be directed in two possible ways: through a direct authentication architecture or through an indirect authentication architecture. The indirect scheme introduces a proxy device used to perform authentication protocols, decreasing computation cost and communication overheads in the IMD devices. To identify the device that is requesting a communication, the IMD can use shared keys (temporary or permanent), auxiliary sensors like fingerprint scanners or other biometric signal collectors to identify the unit and to ascertain its authenticity.
- Cryptography: Cryptography [3,4] relies on shared secret keys to cipher the messages within a given communication. This prevents the understanding of the communication by external eavesdropping devices. Also, cryptography secures any system from any hijacking attempts. The adversary who intercepts a message is not able to perform any significant changes like the modification of the serial number in the aim of a spoofing attack. Nevertheless, standard encrypted communications are still vulnerable to Man-In-The-Middle (MITM) or replay attacks.
- Anomaly Detection: This technique  relies on the observation and the analysis of the received value by the device over time to conclude a pattern. Accordingly, the commands received by the device are estimated to be valid or invalid. For example, in the case of infusion pumps , the control device monitors and analyzes the infusion rate in the human body over seven to ten days to learn the time and a dosage pattern. This learning approach helps the device to recognize any malicious abnormal command for injection. Therefore, the patient is secured from receiving lethal injections through the IMD. Figure 1 shows an example of a normal injection rate of an infusion device. In the first sixteen hours, we can pinpoint an injection pattern over an eight-hour period. An adversary hijacks the device and prohibits the device from injection around 6 pm (line in red). The device can detect that this prohibition is quite different from what should be injected from the device (dotted blue line) and the anomaly detection algorithm will likely disregard this command.
- Jamming: Jamming attacks can be used to block any incoming packets to the IMD and block its regular work . Moreover, this technique can be used to prevent other types of attacks on the device, mainly resource depletion and denial of service attacks. Attackers can blast the device with incoming messages, that can lead to a drastic drop in the battery level and overflows of memory and storage. In such scenarios, jamming techniques can be launched from the device itself or from an annexed Wearable External Device. If the device senses the existence of these messages, jamming techniques prevent the device from receiving and treating these packets.
- Analysis of the new symmetric key generation scheme for wireless cryptography based on PRNG derived from a low-dimensional chaotic system.
- Design of an efficient light-weight block cipher encryption scheme that uses fewer rounds than conventional encryption schemes with short-length keys.
- Investigation of the encryption scheme within an on-body to off-body communication channel.
2. Low-Dimensional Chaotic System
2.1. Chaotic Systems
2.2. Henon Scheme
3. Key Generation
4. Cryptographic Unit System
4.1. Diffusion and Confusion Blocks
- Confusion: which is the property of drastically modifying data from the input to the output. In other words, each bit of the ciphertext should depend on several parts of the system.
- Diffusion: which is the property responsible for changing many different bits of the output when a single bit of the input is modified.
4.2. Cryptographic Unit
4.3. Featured Blocks
4.3.1. Table LookUp
4.3.2. Cipher Block
5. Communication Protocol
6. Statistical Tests
6.1. Monobit Test
6.2. Frequency Test within a Block
6.3. Runs Test
6.4. Test for the Longest Run of Ones in a Block
6.5. Discrete Fourier Transform (Spectral) Test
7. Statistical Results of The Generated Keys
7.1. NIST Test Results
7.2. Pattern Existence
8. Key Performance Evaluation
8.1. Sensitivity to the Initial State
8.2. Diffusion of the Encryption System
8.3. Key Change
8.4. Body Area Communication Scenario
9. Hardware Implementation
Conflicts of Interest
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|Test Name||X Key||Y Key|
|Frequency within a block||Pass||Pass|
|Number of occupied Slices||18||out of||1430|
|Number of Slice Register||51||out of||54,576|
|Number of Slice LUTs||464||out of||27,288|
|Number of occupied Slices||18||out of||1430|
|Number of Slice Register||40||out of||11,440|
|Number of Slice LUTs||60||out of||5720|
|Number of fully used LUT-Flip Flop pairs||39||out of||61|
|Number of occupied Slices||300||out of||1430|
|Number of Slice Register||840||out of||11,440|
|Number of Slice LUTs||514||out of||5720|
|Number of fully used LUT-Flip Flop pairs||98||out of||61|
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Belkhouja, T.; Du, X.; Mohamed, A.; Al-Ali, A.K.; Guizani, M. Symmetric Encryption Relying on Chaotic Henon System for Secure Hardware-Friendly Wireless Communication of Implantable Medical Systems. J. Sens. Actuator Netw. 2018, 7, 21. https://doi.org/10.3390/jsan7020021
Belkhouja T, Du X, Mohamed A, Al-Ali AK, Guizani M. Symmetric Encryption Relying on Chaotic Henon System for Secure Hardware-Friendly Wireless Communication of Implantable Medical Systems. Journal of Sensor and Actuator Networks. 2018; 7(2):21. https://doi.org/10.3390/jsan7020021Chicago/Turabian Style
Belkhouja, Taha, Xiaojiang Du, Amr Mohamed, Abdulla K. Al-Ali, and Mohsen Guizani. 2018. "Symmetric Encryption Relying on Chaotic Henon System for Secure Hardware-Friendly Wireless Communication of Implantable Medical Systems" Journal of Sensor and Actuator Networks 7, no. 2: 21. https://doi.org/10.3390/jsan7020021