Energy Depletion Attacks in Low Power Wireless Networks
Open accessAbstract
Low Power Wireless (LPW) networks have recently been emerging as key candidates to offer affordable connectivity for the constrained devices in the Internet of Things (IoT). However, they also raise major security concerns due to the inherent security vulnerabilities of built-in communication protocols. By exploiting these flaws, an adversary can attack sensors or actuators in an LPW network and force them to execute energy-hungry tasks such as verifying unauthenticated garbage messages repeatedly. This attack, namely energy depletion attack (EDA), can drain the batteries of the devices rapidly and lead to soaring network-wide energy expenditure. Consequently, the offense can leave the victims disabled, and even shut down the whole network due to the battery exhaustion of all the devices. In this paper, we investigate existing studies and provide a systematic review of EDAs and defenses in LPW networks. Through this work, we conclude that most existing LPW technologies are vulnerable to EDAs. This paper also indicates the security challenges in LPW networks related to EDAs along with the potential research directions. While LPW technologies have already hit the market with the promising deployment schedules, our attempt can inspire the research community to enhance the security of underlying protocols that will shape the connectivity of billions of devices in the future IoT ecosystem.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
When an attacker has physical access to a LoRa device, the UART or SPI interface between the radio and host microcontroller can be used to eavesdrop on all key exchanges and obtain the encryption key.
“Chatzoglou et al. [66] proposed that when an attacker can access a device at the physical level, since the LoRa terminal device contains a radio module and a host microcontroller unit, the radio communicates with the host microcontroller through the UART or SPI interface. For example, if both devices use the UART interface, the interface can be used to eavesdrop on all key exchanges, and the AttaC”
From A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends (2024) · cites this paper as [67]
The Attack Stages section discusses gathering device information, and the MAC-layer defenses section discusses eavesdropping and secret keys, but neither describes obtaining a LoRa encryption key through a device interface. Searches for UART, SPI, physical access, and key exchanges found no passage supporting the claimed method; page numbers were not available in our copy. (LLM, conf=0.74)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
No references could be resolved yet.
Research works printed but not linked: 63
- I. Stellios, P. Kotzanikolaou, M. Psarakis, C. Alcaraz, and J. Lopez, ''A survey of IoT-enabled cyberattacks: Assessing attack paths to critical infrastructures and services,'' IEEE Commun. Surveys Tuts., vol. 20, no. 4, pp. 3453-3495, 4th Quart., 2018.
- D. R. Raymond, R. C. Marchany, M. I. Brownfield, and S. F. Midkiff, ''Effects of denial-of-sleep attacks on wireless sensor network MAC pro- tocols,'' IEEE Trans. Veh. Technol., vol. 58, no. 1, pp. 367-380, Jan. 2009.
- E. Y. Vasserman and N. Hopper, ''Vampire attacks: Draining life from wireless Ad Hoc sensor networks,'' IEEE Trans. Mobile Comput., vol. 12, no. 2, pp. 318-332, Feb. 2013.
- D. C. Nash, T. L. Martin, D. S. Ha, and M. S. Hsiao, ''Towards an intrusion detection system for battery exhaustion attacks on mobile com- puting devices,'' in Proc. 3rd IEEE Int. Conf. Pervasive Comput. Commun. Workshops, Mar. 2005, pp. 141-145.
- N. Geethanjali and E. Gayathri, ''A survey on energy depletion attacks in wireless sensor networks,'' Int. J. Sci. Res., vol. 3, no. 9, Sep. 2014.
- Z. He and T. Voigt, ''Droplet: A new denial-of-service attack on low power wireless sensor networks,'' in Proc. IEEE 10th Int. Conf. Mobile Ad-Hoc Sensor Syst., Oct. 2013, pp. 542-550.
- X. Cao, D. M. Shila, Y. Cheng, Z. Yang, Y. Zhou, and J. Chen, ''Ghost- in-ZigBee: Energy depletion attack on ZigBee-based wireless networks,'' IEEE Internet Things J., vol. 3, no. 5, pp. 816-829, Oct. 2016.
- R. P. Muthu and M. Suseela, ''Effect and defense of resource depletion attacks in wireless Adhoc sensor networks,'' Int. J. Inf. Technol. Syst., vol. 3, no. 1, pp. 1-7, Jun. 2014.
- T. Bhattasali, R. Chaki, and S. Sanyal, ''Sleep deprivation attack detec- tion in wireless sensor network,'' Int. J. Comput. Appl., vol. 40, no. 15, pp. 19-25, Jan. 2012.
- M. Pirretti, S. Zhu, N. Vijaykrishnan, P. McDaniel, M. Kandemir, and R. Brooks, ''The sleep deprivation attack in sensor networks: Analysis and methods of defense,'' Int. J. Distrib. Sensor Netw., vol. 2, no. 3, pp. 267-287, Jul. 2006.
- I. Butun, S. D. Morgera, and R. Sankar, ''A survey of intrusion detec- tion systems in wireless sensor networks,'' IEEE Commun. Surveys Tuts., vol. 16, no. 1, pp. 266-282, 1st Quart. 2014.
- V. Shakhov, I. Koo, and A. Rodionov, ''Energy exhaustion attacks in wire- less networks,'' in Proc. Int. Multi-Conf, Eng., Comput. Inf. Sci. (SIBIR- CON), Sep. 2017, pp. 1-3.
- V. Shakhov and I. Koo, ''Depletion-of-battery attack: Specificity, mod- elling and analysis,'' Sensors, vol. 18, p. 1849, Jun. 2018.
- J. Uher, R. G. Mennecke, and B. S. Farroha, ''Denial of sleep attacks in bluetooth low energy wireless sensor networks,'' in Proc. IEEE Military Commun. Conf., Nov. 2016, pp. 1231-1236.
- U. Fiore, A. Castiglione, A. De Santis, and F. Palmieri, ''Exploiting battery-drain vulnerabilities in mobile smart devices,'' IEEE Trans. Sus- tain. Comput., vol. 2, no. 2, pp. 90-99, Apr./Jun. 2017.
- B. R. Moyers, J. P. Dunning, R. C. Marchany, and J. G. Tront, ''Effects of Wi-Fi and bluetooth battery exhaustion attacks on mobile devices,'' in Proc. 43rd Hawaii Int. Conf. Syst. Sci., Jan. 2010, pp. 1-9.
- K.-F. Krentz, C. Meinel, and H. Graupner, ''Countering three denial-of- sleep attacks on ContikiMAC,'' in Proc. Int. Conf. Embedded Wireless Syst. Netw. (EWSN), Feb. 2017, pp. 108-119.
- Y. Cho and G. Qu, ''Detection and prevention of selective forwarding- based denial-of-service attacks in WSNs,'' Int. J. Distrib. Sensor Netw., vol. 9, no. 8, Aug. 2013.
- A. D. Wood, J. A. Stankovic, and G. Zhou, ''DEEJAM: Defeating energy- efficient jamming in IEEE 802.15.4-based wireless networks,'' in Proc. 4th Annu. IEEE Commun. Soc. Conf. Sensor, Mesh Ad Hoc Commun. Netw., Jun. 2007, pp. 60-69.
- H. Kim, K. G. Shin, and P. Pillai, ''MODELZ: Monitoring, detection, and analysis of energy-greedy anomalies in mobile handsets,'' IEEE Trans. Mobile Comput., vol. 10, no. 7, pp. 968-981, Jul. 2011.
- Q. Dong, D. Liu, and P. Ning, ''Providing DoS resistance for signature- based broadcast authentication in sensor networks,'' ACM Trans. Embed- ded Comput. Syst. (TECS), vol. 12, no. 3, Mar. 2013, Art. no. 73.
- G. Han, J. Jiang, W. Shen, L. Shu, and J. Rodrigues, ''IDSEP: A novel intrusion detection scheme based on energy prediction in cluster-based wireless sensor networks,'' IET Inf. Secur., vol. 7, no. 2, pp. 97-105, Jun. 2013.
- A. T. Capossele, V. Cervo, C. Petrioli, and D. Spenza, ''Counteracting denial-of-sleep attacks in wake-up-radio-based sensing systems,'' in Proc. 13th Annu. IEEE Int. Conf. Sensing, Commun., Netw. (SECON), Jun. 2016, pp. 1-9.
- U. Raza, P. Kulkarni, and M. Sooriyabandara, ''Low power wide area networks: An overview,'' IEEE Commun. Surveys Tuts., vol. 19, no. 2, pp. 855-873, 2nd Quart., 2017.
- K. Cengiz and T. Dag, ''A review on the recent energy-efficient approaches for the Internet protocol stack,'' in EURASIP Journal on Wireless Commu- nications and Networking. Cham, Switzerland: Springer, 2015.
- E. Benkhelifa, T. Welsh, and W. Hamouda, ''A critical review of practices and challenges in intrusion detection systems for IoT: Toward universal and resilient systems,'' IEEE Commun. Surveys Tuts., vol. 20, no. 4, pp. 3496-3509, 4th Quart. 2018.
- M. Frustaci, P. Pace, G. Aloi, and G. Fortino, ''Evaluating critical security issues of the IoT world: Present and future challenges,'' IEEE Internet Things J., vol. 5, no. 4, pp. 2483-2495, Aug. 2018.
- C. Hennebert and J. D. Santos, ''Security protocols and privacy issues into 6LoWPAN Stack: A synthesis,'' IEEE Internet Things J., vol. 1, no. 5, pp. 384-398, Oct. 2014.
- J. H. Kong, L.-M. Ang, and K. P. Seng, ''A comprehensive survey of modern symmetric cryptographic solutions for resource constrained envi- ronments,'' J. Netw. Comput. Appl., vol. 49, pp. 15-50, Mar. 2015.
- J. Granjal, E. Monteiro, and J. S. Silva, ''Security in the integration of low-power wireless sensor networks with the Internet: A survey,'' Ad Hoc Netw., vol. 24, pp. 264-287, Jan. 2015.
- X. Hei, X. Du, J. Wu, and F. Hu, ''Defending resource depletion attacks on implantable medical devices,'' in Proc. IEEE GLOBECOM, Dec. 2010, pp. 1-5.
- R. Min and A. Chandrakasan, ''Top five myths about the energy consump- tion of wireless communication,'' ACM SIGMOBILE, Jan. 2003, pp. 1-2.
- P. Cope, J. Campbell, and T. Hayajneh, ''An investigation of bluetooth security vulnerabilities,'' in Proc. IEEE 7th Annu Comput. Commun. Work- shop Conf. (CCWC), Mar. 2017, pp. 1-7.
- W. Xu, K. Ma, W. Trappe, and Y. Zhang, ''Jamming sensor networks: Attack and defense strategies,'' IEEE Netw., vol. 20, no. 3, pp. 41-47, May./Jun. 2006.
- M. Li, I. Koutsopoulos, and R. Poovendran, ''Optimal jamming attacks and network defense policies in wireless sensor networks,'' in Proc. IEEE INFOCOM-26th IEEE Int. Conf. Comput. Commun., May 2007, pp. 1307-1315.
- Y.-A. Tan, X. Zhang, K. Sharif, C. Liang, Q. Zhang, and Y. Li, ''Covert timing channels for IoT over mobile networks,'' IEEE Wireless Commun., vol. 25, no. 6, pp. 38-44, Dec. 2018.
- N. Sastry and D. Wagner, ''Security considerations for IEEE 802.15.4 net- works,'' in Proc. 3rd ACM Workshop Wireless Secur., Oct. 2004, pp. 32-42.
- A. K. Nain, J. Bandaru, M. A. Zubair, and R. Pachamuthu, ''A secure phase-encrypted IEEE 802.15.4 transceiver design,'' IEEE Trans. Comput., vol. 66, no. 8, pp. 1421-1427, Aug. 2017.
- A. Ali, A. G. Shah, and J. Arshad, ''Energy efficient techniques for M2M communication: A survey,'' J. Netw. Comput. Appl., vol. 68, pp. 42-55, Jun. 2016.
- M. Li, S. Salinas, P. Li, J. Sun, and X. Huang, ''MAC-layer selfish misbehavior in IEEE 802.11 ad hoc networks: Detection and defense,'' IEEE Trans. Mobile Comput., vol. 14, no. 6, pp. 1203-1217, Jun. 2015.
- D. E. Boubiche and A. Bilami, ''A defense strategy against energy exhaust- ing attacks in wireless sensor networks,'' J. Emerg. Technol. Web Intell., vol. 5, no. 1, pp. 18-27, Feb. 2013.
- D. R. Raymond and S. F. Midkiff, ''Clustered adaptive rate limiting: Defeating denial-of-sleep attacks in wireless sensor networks,'' in Proc. MILCOM-IEEE Military Commun. Conf., Oct. 2007, pp. 1-7.
- E. Aras, G. S. Ramachandran, P. Lawrence, and D. Hughes, ''Explor- ing the security vulnerabilities of LoRa,'' in Proc. 3rd IEEE Int. Conf. Cybern. (CYBCONF), Jul. 2017, pp. 1-6.
- E. V. Es, H. Vranken, and A. Hommersom, ''Denial-of-service attacks on LoRaWAN,'' in Proc. 13th Int. Conf. Availability, Rel. Secur. (ARES), Aug. 2018, p. 17.
- D. M. Shila, Y. Cheng, and T. Anjali, ''Mitigating selective forwarding attacks with a channel-aware approach in WMNs,'' IEEE Trans. Wireless Commun., vol. 9, no. 5, pp. 1661-1675, May 2010.
- P. Pongle and G. Chavan, ''A survey: Attacks on RPL and 6LoWPAN in IoT,'' in Proc. Int. Conf. Pervasive Comput. (ICPC), Jan. 2015, pp. 1-6.
- M. Bor, J. Vidler, and U. Roedig, ''LoRa for the Internet of Things,'' in Proc. Int. Conf. Embedded Wireless Syst. Netw. (EWSN), Feb. 2016, pp. 361-366.
- C.-H. Liao, G. Zhu, D. Kuwabara, M. Suzuki, and H. Morikawa, ''Multi- Hop LoRa networks enabled by concurrent transmission,'' IEEE Access, vol. 5, pp. 21430-21446, 2017.
- K. T. Nguyen, M. Laurent, and N. Oualha, ''Survey on secure communica- tion protocols for the Internet of Things,'' Ad Hoc Netw., vol. 32, pp. 17-31, Sep. 2015.
- A. Mosenia and N. K. Jha, ''A comprehensive study of security of Internet-of-Things,'' IEEE Trans. Emerg. Topics Comput., vol. 5, no. 4, pp. 586-602, Oct./Dec. 2017.
- M. H. R. Khouzani and S. Sarkar, ''Maximum damage battery depletion attack in mobile sensor networks,'' IEEE Trans. Autom. Control, vol. 56, no. 10, pp. 2358-2368, Oct. 2011.
- O. Osanaiye, S. A. Alfa, and G. P. Hancke, ''A statistical approach to detect jamming attacks in wireless sensor networks,'' Sensors, vol. 18, no. 6, p. 1691, May 2018.
- H. Jeon, J. Choi, W. S. McLaughlin, and J. Ha, ''Channel aware encryp- tion and decision fusion for wireless sensor networks,'' IEEE Trans. Inf. Forensics Security, vol. 8, no. 4, pp. 619-625, Apr. 2013.
- J. Zhu, Y. Zou, and B. Zheng, ''Physical-Layer security and reliability challenges for industrial wireless sensor networks,'' IEEE Access, vol. 5, pp. 5313-5320, 2017.
- C.-T. Hsueh, C.-Y. Wen, and Y.-C. Ouyang, ''A secure scheme against power exhausting attacks in hierarchical wireless sensor networks,'' IEEE Sensors J., vol. 15, no. 6, pp. 3590-3602, Jun. 2015.
- P. Park, S. C. Ergen, C. Fischione, and A. Sangiovanni-Vincentelli, ''Duty- cycle optimization for IEEE 802.15.4 wireless sensor networks,'' ACM Trans. Sensor Netw., vol. 10, no. 1, p. 12, Nov. 2013.
- H. Hellaoui, M. Koudil, and A. Bouabdallah, ''Energy-efficient mecha- nisms in security of the Internet of Things: A survey,'' Comput. Netw., vol. 127, pp. 173-189, Nov. 2017.
- Y. Zhang, S. He, and J. Chen, ''Data gathering optimization by dynamic sensing and routing in rechargeable sensor networks,'' IEEE/ACM Trans. Netw., vol. 24, no. 3, pp. 1632-1646, Jun. 2016.
- G. Zheng, R. Shankaran, A. M. Orgun, L. Qiao, and K. Saleem, ''Ideas and challenges for securing wireless implantable medical Devices: A review,'' IEEE Sensors J., vol. 17, no. 3, pp. 562-576, Feb. 2017.
- M. Raza, N. Aslam, H. Le-Minh, S. Hussain, Y. Cao, and N. M. Khan, ''A critical analysis of research potential, challenges, and future directives in industrial wireless sensor networks,'' IEEE Commun. Surveys Tuts., vol. 20, no. 1, pp. 39-95, 1st Quart. 2018.
- S. Schneider and P. Ryan, The Modelling and Analysis of Security Proto- cols: The CSP Approach. London, U.K.: Pearson Education.
- J. Navarro-Ortiz, S. Sendra, P. Ameigeiras, and J. M. Lopez-Soler, ''Inte- gration of LoRaWAN and 4G/5G for the industrial Internet of Things,'' IEEE Commun. Mag., vol. 56, no. 2, pp. 60-67, Feb. 2018.
- REN-HUNG HWANG received the Ph.D. degree in computer science from the University of Massachusetts, Amherst, MA, USA. He joined the Department of Computer Science and Infor- mation Engineering, National Chung Cheng Uni- versity (CCU), in 1993, where he is currently a Distinguished Professor. He has published over 200 international journal and conference papers. He has served as the Dean of the College of Engi- neering (2014-2017). He received the IEEE Best Paper Award from the IEEE Ubi-Media 2018, the IEEE SC2 2017, the IEEE IUCC 2014, and the IEEE Outstanding Paper Award from the IEEE UIC 2012. His current research interests are the Internet of Things, network security, cloud/edge/fog computing, and software-defined networks.
Cited by
Sorted by citations
Security and Privacy for 6G: A Survey on Prospective Technologies and Challenges
Nguyen, V.-L., Lin, P.-C., Cheng, B.-C., Hwang, R.-H., & Lin, Y.-D. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3108618 · Cited by 515 · see citing works
Self-citationA Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends
Sun, P., Shen, S., Wan, Y., Wu, Z., Fang, Z., & Gao, X.-Z. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3372518 · Cited by 172 · see citing works
- Authors
- Nguyen, V.-L., Lin, P.-C., & Hwang, R.-H.
- Affiliations
- National Chung Cheng University (TW)
- Venue
- IEEE Access
- Published
- 2019
- Volume
- 7
- Pages
- 51915-51932
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2941918278
- Cited by
- 74
- References
- 0
- Citations by year
- 2026: 1 · 2025: 8 · 2024: 17 · 2023: 9 · 2022: 14 · 2021: 7 · 2020: 13 · 2019: 5
- FWCI
- 5.34
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Ministry of Science and Technology, Taiwan (MOST 107-2218-E-194-014)
- Taiwan Information Security Center at National Sun Yat-sen University
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Security in Wireless Sensor Networks
- Physical Sciences › Engineering › Electrical and Electronic Engineering › IoT Networks and Protocols
- Physical Sciences › Engineering › Control and Systems Engineering › Smart Grid Security and Resilience
- Keywords
- low-power wireless networks, Internet of Things security, battery exhaustion, resource-constrained devices, wireless sensor networks, authentication vulnerabilities, network security defense, protocol vulnerabilities
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review