Classification of Artificial Intelligence IDS for Smurf Attack

Ugtakhbayar, N.

doi:10.5121/ijaia.2012.3104

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…Once the source address is set to the broadcast address, all devices on the local network must process these broadcast messages. A large number of Reply broadcast messages will cause the network to flood [31].…”

Section: Attack Modelsmentioning

confidence: 99%

IoT-IE: An Information-Entropy-Based Approach to Traffic Anomaly Detection in Internet of Things

Sun

Tian

et al. 2021

Security and Communication Networks

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Security issues related to the Internet of Things (IoTs) have attracted much attention in many fields in recent years. One important problem in IoT security is to recognize the type of IoT devices, according to which different strategies can be designed to enhance the security of IoT applications. However, existing IoT device recognition approaches rarely consider traffic attacks, which might change the pattern of traffic and consequently decrease the recognition accuracy of different IoT devices. In this work, we first validate by experiments that traffic attacks indeed decrease the recognition accuracy of existing IoT device recognition approaches; then, we propose an approach called IoT-IE that combines information entropy of different traffic features to detect traffic anomaly. We then enhance the robustness of IoT device recognition by detecting and ignoring the abnormal traffic detected by our approach. Experimental evaluations show that IoT-IE can effectively detect abnormal behaviors of IoT devices in the traffic under eight different types of attacks, achieving a high accuracy value of 0.977 and a low false positive rate of 0.011. It also achieves an accuracy of 0.969 in a multiclassification experiment with 7 different types of attacks.

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Section: Attack Modelsmentioning

confidence: 99%

IoT-IE: An Information-Entropy-Based Approach to Traffic Anomaly Detection in Internet of Things

Sun

Tian

et al. 2021

Security and Communication Networks

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“…Denial of Service (DoS) or Distributed DoS (DDoS) attack is an attempt to make a server or network resource unavailable to its intended users.A DoS attack can be seen as a set of attempts to temporarily or permanently interrupt or suspend services of a server connected to the Internet [15][16][17]. Different from DoS attacks, DDoS attacks are indirectly launched with many compromised system [18][19][20].The DDoS attacks divided into three categories:…”

Section: G Dos/ddos Attackmentioning

confidence: 99%

Common network attack types and defense mechanisms

Daş

Karabade

Tuna

2015

2015 23nd Signal Processing and Communications Applications Conference (SIU)

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For every organization having a well secured network is the primary requirement to reach their goals. A network is said to be secure if it can protect itself from sophisticated attacks. Due to the rapid increase in the number of network users, security becomes the main challenge in the area of network field. Most security related threats target the layers of the OSI reference model. Sophisticated attack types such as Distributed Denial of Service (DDoS), Man-in-the-Middle and IP spoofing attacks are used to attack these layers. In this paper, we analyze most of the attack types that cause serious problems in computer networks and defense techniques to stop or prevent these attacks.

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