Impact of Sanitized Message Flows in a Cooperative Intrusion Warning System

Tölle, Jens; Jahnke, Marko; Felde, Nils gentschen; Martini, Peter

doi:10.1109/milcom.2006.302010

Cited by 7 publications

(7 citation statements)

References 10 publications

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“…In the TOpology Graph Based Anomaly Detection (TOGBAD) [59] developed for an Optimized Link State Routing (OLSR) protocol, a modified cluster-based anomaly detector [60,61] is employed to construct a topology graph based on the routing and data packets of all nodes, and compares this topology graph with the number of neighbors reported by each node for recognizing the black hole attack. First, a detector collects routing and data packets from each node, and constructs a topology graph.…”

Section: Detection Mechanisms Against Black Hole Attackmentioning

confidence: 99%

Data collection for attack detection and security measurement in Mobile Ad Hoc Networks: A survey

Liu

Yan

Pedrycz

2018

Journal of Network and Computer Applications

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Mobile Ad Hoc Network (MANET) is becoming one type of major next generation wireless networks. Nevertheless, it easily suffers from various attacks due to its specific characteristics. In order to evaluate and measure the security of MANET in real time and make this network react accordingly, a promising alternative is to integrate detection mechanisms that play a role of the second line of defense to detect attacks in MANETs. We note that in most attack detection mechanisms, it is essential and crucial to collect the data related to security for further analysis. If security-related data collection is untrustworthy, attack detection and security measurement might be impacted and disabled. Unfortunately, few existing studies concern security-related data collection in attack detection for the purpose of trustworthy security measurement. The literature lacks a thorough survey on security-related data collection for attack detection and security measurement in MANETs. In this paper, we propose a number of requirements for trustworthy security-related data collection, and then review detection mechanisms in MANETs that were published in recent 20 years. In particular, we employ the proposed requirements as a set of criteria to evaluate the existing work about security-related data collection. Based on the survey and evaluation, we identify a number of open issues and point out future research directions.

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Section: Detection Mechanisms Against Black Hole Attackmentioning

confidence: 99%

Data collection for attack detection and security measurement in Mobile Ad Hoc Networks: A survey

Liu

Yan

Pedrycz

2018

Journal of Network and Computer Applications

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“…Thus here, the number of neighbours in the HELLO messages is compared with that in the topology graph and a difference indicates misbehavior. A cluster based anomaly detector from the works [12] and [13] have been used in this technique. The round length in the detector has to be fixed as greater than the HELLO message interval.…”

Section: Black Hole Attack Detection Using Topology Graphsmentioning

confidence: 99%

“…M. Jahnke et.al. uses finite state machines for specifying the normal routing behavior in AODV routing protocol and the network is monitored for run time violations in a distributed manner [20]. These kinds of specification detections do not detect the intrusions but the effects of intrusion.…”

Section: Intrusion Detection Systemsmentioning

confidence: 99%

Survey of Manet Misbehaviour Detection Approaches

Peethambaran¹,

S²

2014

IJNSA

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Mobile ad hoc networks (MANETs) turn out to be very useful in the current application areas for networks that require ad hoc connectivity as well as mobility. While the MANET routing protocols were designed it was assumed that there is no chance to have a malicious node in the network that does not co operate with each other to transmit data. Because of this fact, the network layer of MANETs is vulnerable to attacks of several kinds. Here in this paper, different kinds of attacks on MANETs are discussed first and then some protection mechanisms against those attacks are discussed. Comparisons of these mechanisms are also included.

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“…This latter, which is the only node running the TOGBAD scheme, uses the received information to construct the network topology graph. This graph is built based on the Cluster-Based Anomaly Detector (CBAD) introduced in [20] and [35]. Next, upon reception of a message from a node, the supervisor node extracts the number of neighbors claimed by the sender node and compares it with the size of this sender's neighbor set as calculated from the topology graph.…”

Section: First Defense Line Schemesmentioning

confidence: 99%

Mitigating Packet Dropping Problem in Mobile Ad Hoc Networks: Proposals and Challenges

Djahel¹,

Naït‐Abdesselam²,

Zhang

2011

IEEE Commun. Surv. Tutorials

118

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Nodes in mobile ad hoc networks (MANETs) usually cooperate and forward each other's packets in order to enable out of range communication. However, in hostile environments some nodes may refuse to do so for either saving their resources or intentionally disrupting regular communications. This type of misbehavior is generally referred as packet dropping attack or black hole attack, which is considered as one of the most destructive attacks that leads to the deterioration of network performance. The special network characteristics, such as limited battery power and mobility of nodes, make prevention techniques based on cryptographic primitives ineffective to cope with such attack. Rather, a more proactive alternative is required to ensure the safety of the forwarding function by staving off malicious nodes from being involved in routing paths. Once such scheme fails, some economic-based approaches can be adopted to alleviate the attack consequences by motivating the nodes cooperation. As backup, detection and reaction schemes remain as the final defense line to identify the misbehaving nodes and punish them. In this survey, we make a comprehensive investigation on state-of-the-art countermeasures to packet dropping attack. Furthermore, we examine the challenges that must be tackled for constructing an in-depth defense against such sophisticated attack.

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Impact of Sanitized Message Flows in a Cooperative Intrusion Warning System

Cited by 7 publications

References 10 publications

Data collection for attack detection and security measurement in Mobile Ad Hoc Networks: A survey

Data collection for attack detection and security measurement in Mobile Ad Hoc Networks: A survey

Survey of Manet Misbehaviour Detection Approaches

Mitigating Packet Dropping Problem in Mobile Ad Hoc Networks: Proposals and Challenges

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