scholarly journals Internet of Things and Distributed Denial of Service as Risk Factors in Information Security

2021 ◽  
Author(s):  
Jairo Eduardo Márquez Díaz
Keyword(s):  
Information Security ◽  
Internet Of Things ◽  
Denial Of Service ◽  
Future Trend ◽  
Security Level ◽  
Distributed Denial Of Service ◽  
Large Cities ◽  
Advanced Persistent Threats ◽  
Criminal Groups ◽  
The Military

Society is increasingly dependent on technology and an example of this is the constant monitoring of large cities, which has become common and the future trend is for it to increase based on what happened with the COVID-19 pandemic. This monitoring brings with it a series of problems at the information security level at different levels or levels. Based on this fact, it addresses how the Internet of Things (IoT) can be subject to potential distributed denial of service (DDoS) attacks and the danger it poses to society. In this sense, other types of vulnerabilities are exposed, such as crypto hacking, advanced persistent threats (APT) and ransomware, which use artificial intelligence to improve their attack techniques. This poses a potential risk to society from cybersecurity regarding the use and manipulation of information, either by governments, the military and organized criminal groups, de facto violating human rights.

scholarly journals Mathematical model on distributed denial of service attack through Internet of things in a network

2019 ◽  
Vol 8 (1) ◽  
pp. 486-495 ◽  
Author(s):  
Bimal Kumar Mishra ◽  
Ajit Kumar Keshri ◽  
Dheeresh Kumar Mallick ◽  
Binay Kumar Mishra
Keyword(s):  
Mathematical Model ◽  
Internet Of Things ◽  
Equilibrium Points ◽  
Denial Of Service ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Denial Of Service Attack ◽  
Different Types ◽  
Service Attack ◽  
Iot Devices

Abstract Internet of Things (IoT) opens up the possibility of agglomerations of different types of devices, Internet and human elements to provide extreme interconnectivity among them towards achieving a completely connected world of things. The mainstream adaptation of IoT technology and its widespread use has also opened up a whole new platform for cyber perpetrators mostly used for distributed denial of service (DDoS) attacks. In this paper, under the influence of internal and external nodes, a two - fold epidemic model is developed where attack on IoT devices is first achieved and then IoT based distributed attack of malicious objects on targeted resources in a network has been established. This model is mainly based on Mirai botnet made of IoT devices which came into the limelight with three major DDoS attacks in 2016. The model is analyzed at equilibrium points to find the conditions for their local and global stability. Impact of external nodes on the over-all model is critically analyzed. Numerical simulations are performed to validate the vitality of the model developed.

scholarly journals PENDETEKSI SERANGAN DDoS (DISTRIBUTED DENIAL OF SERVICE) MENGGUNAKAN HONEYPOT DI PT. TORINI JAYA ABADI

2019 ◽  
Vol 2 (2) ◽  
pp. 64-80
Author(s):  
Saleh Dwiyatno ◽  
Ayu Purnama Sari ◽  
Agus Irawan ◽  
Safig Safig
Keyword(s):  
Information Security ◽  
Real Time ◽  
Denial Of Service ◽  
Original System ◽  
Information Storage ◽  
Distributed Denial Of Service ◽  
Network Systems ◽  
Database Server ◽  
Internet Media ◽  
Service Type

Information security is very important in today's technology. Information storage and crossing is currently no longer using paper media, but has used a lot of computer and internet media. PT. Torini Jaya Abadi is one that uses computer and internet media for information storage and crossing. However, there are disturbances such as heavy server access, which cannot be accessed and sometimes it cannot enter into the database server from the indication that the server might be exposed to a virus or DDoS (Distributed Danial of Service) type attacks occur on the server. Based on these problems, the author uses a honeypot to detect an attack based on alerts that have been accommodated in the log and can also provide information about the attacks that occur, from the results obtained honeyd is able to resemble an original system that pretends to have services that are not real , also able to detect attacks in real time and provide information from attackker, honeyd can emulate virtual hosts that are similar to the original computer, by obtaining logs from the honeyd admin system to find out information that occurs on the server, with honeyd network systems can help detect attacks in real time.

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 Architecture for Secure Communication Among IoT Devices with Ethereum Blockchain

2021 ◽  
Author(s):  
Bawankar Chetan D ◽  
Sanjeev Kumar Sharma
Keyword(s):  
Internet Of Things ◽  
Information Transmission ◽  
Open System ◽  
Secure Communication ◽  
Denial Of Service ◽  
Peer To Peer ◽  
System Innovation ◽  
Distributed Denial Of Service ◽  
Iot Devices ◽  
The Relationship

The paper aims to clarify the relationship between Internet-of-Things devices and Ethereum blockchain. It proposes the arrangement to ensure information transmission among parties in an open system of IoT must be secure using Ethereum. The accompanying joining strategy utilized terminal gadgets as system innovation and Ethereum blockchain stage that delivered back-end, which guarantees high security, accessibility, and protection, supplanting conventional back-end frameworks. The following issues should be considered to prevent the malicious hub from attacking, resist distributed denial-of-service attacks, and prevent firmware backdoor access. This paper proposed a system in which the Peer-to-Peer authentication model, where every IoT node in the system must be authenticated and verified by the proposed framework. The paper provides empirical insights into IoT nodes manufactured in bulk, and they are remaining with their default username and password.

scholarly journals Shield Advanced Mitigation System of Distributed Denial of Service Attack in Integration of Internet of Things and Cloud Computing Environment

2019 ◽  
Vol 9 (2) ◽  
pp. 1300-1306
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Denial Of Service ◽  
Cloud Services ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Denial Of Service Attack ◽  
Ddos Attack ◽  
Service Attack ◽  
Verification Process

Cloud services among public and business companies have become popular in recent years. For production activities, many companies rely on cloud technology. Distributed Denial of Services (DDoS) attack is an extremely damaging general and critical type of cloud attacks. Several efforts have been made in recent years to identify numerous types of DDoS attacks. This paper discusses the different types of DDoS attacks and their cloud computing consequences. Distributed Denial of Service attack (DDoS) is a malicious attempt to disrupt the normal movement of a targeted server, service or network through influx of internet traffic overwhelming the target or its infrastructure. The use of multiple affected computer systems as a source of attacks makes DDoS attacks effective. Computers and other networked tools, including IoT phones, may be included on exploited machines. A DDoS attack from a high level resembles a traffic jam that is caused by roads that prevents normal travel at their desired destination. So DDoS Attack is a major challenging problem in integrated Cloud and IoT. Hence, this paper proposes Shield Advanced Mitigation System of Distributed Denial of Service Attack in the integration of Internet of Things and Cloud Computing Environment. This secure architecture use two verification process to identify whether user is legitimate or malicious. Dynamic Captcha Testing with Equal Probability test for first verification process, moreover Zigsaw Image Puzzle Test is used for second verification process, and Intrusion Detection Prevention System is used to identify and prevent malicious user, moreover reverse proxy is used to hide server location. These functional components and flow could strengthen security in Client side network to provide cloud services furthermore to overcome distributed denial of service attack in the integration of Internet of Things and Cloud Environment.

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.

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