scholarly journals SARDOS: Self-Adaptive Reaction Against Denial of Service in the Internet of Things

2018 ◽  
Author(s):  
Marco Tiloca ◽  
Rikard Hoglund ◽  
Syafiq Al Atiiq
Keyword(s):  
Internet Of Things ◽  
Denial Of Service ◽  
The Internet ◽  
The Internet Of Things ◽  
Adaptive Reaction ◽  
Self Adaptive

scholarly journals SlowITe, a Novel Denial of Service Attack Affecting MQTT

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2932
Author(s):  
Ivan Vaccari ◽  
Maurizio Aiello ◽  
Enrico Cambiaso
Keyword(s):  
Internet Of Things ◽  
Denial Of Service ◽  
The Internet ◽  
Message Queue ◽  
Plain Text ◽  
Denial Of Service Attack ◽  
Service Attack ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Low Rate

Security of the Internet of Things is a crucial topic, due to the criticality of the networks and the sensitivity of exchanged data. In this paper, we target the Message Queue Telemetry Transport (MQTT) protocol used in IoT environments for communication between IoT devices. We exploit a specific weakness of MQTT which was identified during our research, allowing the client to configure the behavior of the server. In order to validate the possibility to exploit such vulnerability, we propose SlowITe, a novel low-rate denial of service attack aimed to target MQTT through low-rate techniques. We validate SlowITe against real MQTT services, considering both plain text and encrypted communications and comparing the effects of the threat when targeting different daemons. Results show that the attack is successful and it is able to exploit the identified vulnerability to lead a DoS on the victim with limited attack resources.

scholarly journals DDoS-Capable IoT Malwares: Comparative Analysis and Mirai Investigation

2018 ◽  
Vol 2018 ◽  
pp. 1-30 ◽  
Author(s):  
Michele De Donno ◽  
Nicola Dragoni ◽  
Alberto Giaretta ◽  
Angelo Spognardi
Keyword(s):  
Comparative Analysis ◽  
Internet Of Things ◽  
Detailed Analysis ◽  
Real World ◽  
General Framework ◽  
Denial Of Service ◽  
The Internet ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
The Internet Of Things

The Internet of Things (IoT) revolution has not only carried the astonishing promise to interconnect a whole generation of traditionally “dumb” devices, but also brought to the Internet the menace of billions of badly protected and easily hackable objects. Not surprisingly, this sudden flooding of fresh and insecure devices fueled older threats, such as Distributed Denial of Service (DDoS) attacks. In this paper, we first propose an updated and comprehensive taxonomy of DDoS attacks, together with a number of examples on how this classification maps to real-world attacks. Then, we outline the current situation of DDoS-enabled malwares in IoT networks, highlighting how recent data support our concerns about the growing in popularity of these malwares. Finally, we give a detailed analysis of the general framework and the operating principles of Mirai, the most disruptive DDoS-capable IoT malware seen so far.

scholarly journals What Is the Fastest Way to Connect Stations to a Wi-Fi HaLow Network?

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2744 ◽  
Author(s):  
Dmitry Bankov ◽  
Evgeny Khorov ◽  
Andrey Lyakhov ◽  
Ekaterina Stepanova ◽  
Le Tian ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Optimal Algorithm ◽  
Access Point ◽  
The Internet ◽  
Shared Channel ◽  
Set Up ◽  
The Internet Of Things ◽  
Self Adaptive

Wi-Fi HaLow is an adaptation of the widespread Wi-Fi technology for the Internet of Things scenarios. Such scenarios often involve numerous wireless stations connected to a shared channel, and contention for the channel significantly affects the performance in such networks. Wi-Fi HaLow contains numerous solutions aimed at handling the contention between stations, two of which, namely, the Centralized Authentication Control (CAC) and the Distributed Authentication Control (DAC), address the contention reduction during the link set-up process. The link set-up process is special because the access point knows nothing of the connecting stations and its means of control of these stations are very limited. While DAC is self-adaptive, CAC does require an algorithm to dynamically control its parameters. Being just a framework, the Wi-Fi HaLow standard neither specifies such an algorithm nor recommends which protocol, CAC or DAC, is more suitable in a given situation. In this paper, we solve both issues by developing a novel robust close-to-optimal algorithm for CAC and compare CAC and DAC in a vast set of experiments.

scholarly journals Security Issues and Challenges in IOT: a Comprehensive Study

2018 ◽  
Vol 7 (2.32) ◽  
pp. 298 ◽  
Author(s):  
M Bhargavi ◽  
Dr M.Nagabhushana Rao
Keyword(s):  
Internet Of Things ◽  
Data Exchange ◽  
Denial Of Service ◽  
The Internet ◽  
Security Architecture ◽  
Iot Security ◽  
Security Issues ◽  
Continuous Support ◽  
The Internet Of Things ◽  
Comprehensive Study

The Internet of Things (IoT) is a revolutionary model, with rising wireless sensor network technology. In IoT network devices are connected and communicated with each other or with human. IoT is extremely available to security assaults. In recent years, the internet of things has a continuous support in research. In the upcoming scenario, IoT will play an important role and changes our day-to-day life, principles as well as industry models. In this paper we provide ensuring security of data exchange, IoT architecture and IoT Security architecture, applications, drawbacks of IoT. We study about various security issues, Problems, normal and Denial of service attacks in different layers, issues and research defy in IoT are also discussed.   

Data Mining Techniques for Distributed Denial of Service Attacks Detection in the Internet of Things

2016 ◽  
pp. 275-334 ◽  
Author(s):  
Pheeha Machaka ◽  
Fulufhelo Nelwamondo
Keyword(s):  
Data Mining ◽  
Internet Of Things ◽  
Denial Of Service ◽  
Current Data ◽  
The Internet ◽  
Denial Of Service Attacks ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Data Mining Techniques ◽  
The Internet Of Things

This chapter reviews the evolution of the traditional internet into the Internet of Things (IoT). The characteristics and application of the IoT are also reviewed, together with its security concerns in terms of distributed denial of service attacks. The chapter further investigates the state-of-the-art in data mining techniques for Distributed Denial of Service (DDoS) attacks targeting the various infrastructures. The chapter explores the characteristics and pervasiveness of DDoS attacks. It also explores the motives, mechanisms and techniques used to execute a DDoS attack. The chapter further investigates the current data mining techniques that are used to combat and detect these attacks, their advantages and disadvantages are explored. Future direction of the research is also provided.

Critical Issues in the Invasion of the Internet of Things (IoT)

2019 ◽  
pp. 174-196 ◽  
Author(s):  
Shravani Devarakonda ◽  
Malka N. Halgamuge ◽  
Azeem Mohammad
Keyword(s):  
Internet Of Things ◽  
Denial Of Service ◽  
Security And Privacy ◽  
The Internet ◽  
Man In The Middle ◽  
Critical Issues ◽  
Service Attack ◽  
Active Attacks ◽  
Privacy Issues ◽  
The Internet Of Things

In this chapter, the authors collected data from issues related to threats in the applications of IoT-based technologies that describe the security and privacy issues from 30 peer reviewed publications from 2014 to 2017. Further, they analyzed each threat type and its percentages in each application of the internet of things. The results indicated that the applications of smart transportation (20%) face the highest amount of security and privacy issues followed by smart home (19%) and smart cities (18%) compared to the rest of the applications. Further, they determined that the biggest threats were denial of service attack (9%) followed by eavesdropping (5%), man in the middle (4%), and replay (4%). Denial of service attacks and man in the middle attack are active attacks that can severely damage human life whereas eavesdropping is a passive attack that steals information. This study has found that privacy issues have the biggest impacts on people. Therefore, researchers need to find possible solutions to these threats to improve the quality of IoT applications.

Cyber-Physical System and Internet of Things Security

2021 ◽  
pp. 328-357
Author(s):  
Thomas Ulz ◽  
Sarah Haas ◽  
Christian Steger
Keyword(s):  
Internet Of Things ◽  
Public Awareness ◽  
Denial Of Service ◽  
The Internet ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Industrial Iot ◽  
Confidential Data ◽  
Iot Devices ◽  
The Internet Of Things

An increase of distributed denial-of-service (DDoS) attacks launched by botnets such as Mirai has raised public awareness regarding potential security weaknesses in the Internet of Things (IoT). Devices are an attractive target for attackers because of their large number and due to most devices being online 24/7. In addition, many traditional security mechanisms are not applicable for resource constraint IoT devices. The importance of security for cyber-physical systems (CPS) is even higher, as most systems process confidential data or control a physical process that could be harmed by attackers. While industrial IoT is a hot topic in research, not much focus is put on ensuring information security. Therefore, this paper intends to give an overview of current research regarding the security of data in industrial CPS. In contrast to other surveys, this work will provide an overview of the big CPS security picture and not focus on special aspects.

Critical Issues in the Invasion of the Internet of Things (IoT)

2021 ◽  
pp. 1672-1694
Author(s):  
Shravani Devarakonda ◽  
Malka N. Halgamuge ◽  
Azeem Mohammad
Keyword(s):  
Internet Of Things ◽  
Denial Of Service ◽  
Security And Privacy ◽  
The Internet ◽  
Man In The Middle ◽  
Critical Issues ◽  
Service Attack ◽  
Active Attacks ◽  
Privacy Issues ◽  
The Internet Of Things

In this chapter, the authors collected data from issues related to threats in the applications of IoT-based technologies that describe the security and privacy issues from 30 peer reviewed publications from 2014 to 2017. Further, they analyzed each threat type and its percentages in each application of the internet of things. The results indicated that the applications of smart transportation (20%) face the highest amount of security and privacy issues followed by smart home (19%) and smart cities (18%) compared to the rest of the applications. Further, they determined that the biggest threats were denial of service attack (9%) followed by eavesdropping (5%), man in the middle (4%), and replay (4%). Denial of service attacks and man in the middle attack are active attacks that can severely damage human life whereas eavesdropping is a passive attack that steals information. This study has found that privacy issues have the biggest impacts on people. Therefore, researchers need to find possible solutions to these threats to improve the quality of IoT applications.

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