Dynamic Reduced-Round Cryptography for Energy-Efficient Wireless Communication of Smart IoT Devices

被引:1
作者
Lardier, William [1 ]
Varo, Quentin [1 ]
Yan, Jun [1 ]
机构
[1] Concordia Univ, Concordia Inst Informat Syst Engn CIISE, Montreal, PQ, Canada
来源
ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) | 2020年
基金
加拿大自然科学与工程研究理事会;
关键词
Policy-based energy saving; reduced-round cryptography; dynamic power consumption; Internet-of-Things; CRYPTANALYSIS; INTERNET;
D O I
10.1109/icc40277.2020.9149305
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Securing the wireless Internet of Things (IoT) is a challenging issue do to their technological constraints: limited computing power, restricted batteries or inconsistent energy supply. With more than 26 billion devices connected in 2019, the expected 75 billion things by 2025 will require an even higher energy supply. Meanwhile, as smarts cities, industry and healthcare represent more than 75% of the IoT market share, these devices must be secured while limiting the impact on energy consumption. The lifetime of specific devices such as Wearable or Implantable Medical Devices (WMDs, IMDs) can then be significantly impacted. In this paper, we propose a generic design that dynamically reduces the energy consumption required by the addition of security within the IoT networks, according to the local level of battery use. This self-monitored, fully-automated, low-cost and remotely configurable mechanism adjusts the number of encryption rounds of the cryptographic primitive while guaranteeing the minimum level of security required. This method has been integrated into the Constrained Application Protocol (CoAP) with the Datagram Transport Layer Security (DTLS) using the AES-128 encryption standard, with 10 rounds (full) to 7, and can be implemented on other protocol stacks. We show a reduction in CPU power consumption of a Raspberry Pi of 19.67%. Finally, we estimate its efficiency by simulating the discharge of multiple batteries with different capacities. Our mechanism increases operating time up to 33 minutes and 15 seconds for a 10,000mAh Raspberry Pi battery when 150 messages of 4Kb per second are exchanged with an operator.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] An Energy-Efficient Cache Localization Technique for D2D Communication in IoT Environment
    Prerna, Divya
    Tekchandani, Rajkumar
    Kumar, Neeraj
    Tanwar, Sudeep
    IEEE INTERNET OF THINGS JOURNAL, 2021, 8 (06) : 4816 - 4829
  • [22] Cooperative Transmission of Energy-Constrained IoT Devices in Wireless-Powered Communication Networks
    Jeong, Cheol
    Son, Hyukmin
    IEEE INTERNET OF THINGS JOURNAL, 2021, 8 (05) : 3972 - 3982
  • [23] Energy-Efficient Resource Allocation in UAV Based MEC System for IoT Devices
    Du, Yao
    Wang, Kezhi
    Yang, Kun
    Zhang, Guopeng
    2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2018,
  • [24] An Energy-Efficient Double Ratchet Cryptographic Processor With Backward Secrecy for IoT Devices
    Yu, Sheng-Jung
    Lee, Yu-Chi
    Lin, Liang-Hsin
    Yang, Chia-Hsiang
    IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2023, 58 (06) : 1810 - 1819
  • [25] An energy-efficient technique for mobile-wireless-sensor-network-based IoT
    Singla, Jatin
    Mahajan, Rita
    Bagai, Deepak
    ETRI JOURNAL, 2022, 44 (03) : 389 - 399
  • [26] LWE: An Energy-Efficient Lightweight Encryption Algorithm for Medical Sensors and IoT Devices
    Toprak, Sezer
    Akbulut, Akhan
    Aydin, Muhammet Ali
    Zaim, Abdul Haim
    ELECTRICA, 2020, 20 (01): : 71 - 80
  • [27] Edge Computing AI-IoT Integrated Energy-efficient Intelligent Transportation System for Smart Cities
    Chavhan, Suresh
    Gupta, Deepak
    Gochhayat, Sarada Prasad
    Chandana, B. N.
    Khanna, Ashish
    Shankar, K.
    Rodrigues, Joel J. P. C.
    ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2022, 22 (04)
  • [28] Energy-Efficient Edge-Fog-Cloud Architecture for IoT-Based Smart Agriculture Environment
    Alharbi, Hatem A.
    Aldossary, Mohammad
    IEEE ACCESS, 2021, 9 : 110480 - 110492
  • [29] TRIFECTA: Security, Energy Efficiency, and Communication Capacity Comparison for Wireless IoT Devices
    Sen, Shreyas
    Koo, Jinkyu
    Bagchi, Saurabh
    IEEE INTERNET COMPUTING, 2018, 22 (01) : 74 - 81
  • [30] Energy-Efficient Localization Techniques for Wireless Sensor Networks in Indoor IoT Environments
    Limkar, Suresh
    Ashok, Wankhede Vishal
    Wadne, Vinod
    Wagh, Sharmila K.
    Wagh, Kishor
    Kumar, Anil
    JOURNAL OF ELECTRICAL SYSTEMS, 2023, 19 (02) : 47 - 57