This document proposes an attack library based intrusion detection system and dynamic certificate authority to secure mobile ad hoc networks (MANETs) from malicious nodes. The intrusion detection system uses an attack library containing known attack patterns to analyze node behavior and detect anomalies. It generates unique IDs for authenticated nodes. The dynamic certificate authority then issues certificates signed with these IDs to allow secure communication. By detecting malicious nodes and authenticating connections, this approach aims to protect MANETs from various attacks like black holes, wormholes, and denial of service. The proposed system is analyzed and future work includes further exploring the attack library and implementing the security model in a simulator.
A combined approach to search for evasion techniques in network intrusion det...eSAT Journals
Abstract Network Intrusion Detection Systems (NIDS) whose base is signature, works on the signature of attacks. They must be updated quickly in order to prevent the system from new attacks. The attacker finds out new evasion techniques so that he should remain undetected. As the new evasion techniques are being developed it becomes difficult for NIDS to give accurate results and NIDS may fail. The key aspect of our paper is to develop a network intrusion detection system using C4.5 algorithm where Adaboost algorithm is used to classify the packet as normal packet or attack packet and also to further classify different types of attack. Apriori algorithm is used to find real time evasion and to generate rules to find intrusion These rules are further given as input to Snort intrusion detection system for detecting different attacks. Keywords: NIDS, Evasion, Apriori Algorithm, Adaboost Algorithm, Snort
Network Security Enhancement in WSN by Detecting Misbehavioural Activity as C...ijtsrd
This system proposes a centralized system for replica identification. The network is divided into segments and an inspection node is chosen for each segment. Inspection node identifies a clone node by checking the nodes ID and cryptographic key. In this process, Chord algorithm is used to detect the clone node, every node is assigned with random key, before it transmits the data it has to give its key which would be verified by the witness node. If same key is given by another node then the witness node identifies the cloned node. Here every node only needs to know the neighbor list containing all neighbor IDs and its location. In this scheme, Energy Efficient Clustering Protocol EECP protocol is used to implement different energy saving methods. Dr. B. R. Tapas Bapu | Hemavathi S U | Poonkuzhali K | Sweety J "Network Security Enhancement in WSN by Detecting Misbehavioural Activity as Copy Cat Nodes" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31257.pdf Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/31257/network-security-enhancement-in-wsn-by-detecting-misbehavioural-activity-as-copy-cat-nodes/dr-b-r-tapas-bapu
A Secure Intrusion Detection System against DDOS Attack in Wireless Ad-Hoc Ne...IJERA Editor
MANET (Wireless Mobile Ad-hoc Network) is a technology which are used in society in daily life an
activities such as in traffic surveillance, in building construction or it’s application is used in battlefield also. In
MANET there is no control of any node here is no centralized controller that’s why each node has its own
routing capability. And each node act as device and its change its connection to other devices.
The main problem of today’s MANET is a security, because there is no any centralized controller. Our main aim
is that we protect them from DDOS attack in terms of flooding through messages, packet drop, end to end delay
and energy dropping etc. For that we are applying many techniques for saving energy of nodes and identifying
malicious node and types of DDOS attack and in this paper we are discussing this technique.
Hybrid Intrusion Detection System using Weighted Signature Generation over An...Editor IJMTER
To provide security to network we use existing Intrusion Detection System(IDS) for
identification of known attack with low false alarm,but it is not working when unknown attacks
occurs so to identify unknown attacks we use Anomaly based IDS(ADS) with high false alarm.
HIDS is the combination of IDS and ADS with their advantages for identification of known as well
as unknown attack.IDS used signature based model to identify known attack and ADS used anomaly
based model for identification of unknown attack.HIDS used internet episode rules for identify
known as well as unknown attacks.
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Detection and Prevention of Attacks in Wireless Sensor Networks: A Surveydbpublications
Wireless sensor networks will use a communication channel which is insecure and have a poor infrastructure. Wireless sensor networks consists of spatially distributed autonomous devices and using sensors they monitor the physical as well as the environmental conditions, such as pressure, temperature, sound at different locations. As the nodes in the sensor network are deployed in the hostile locations they are vulnerable to the attacks such as Hello flood attack, Jamming, Wormhole, Sybil, Sinkhole attack. These types of potential threats to network are continuously evolving and requires measures to detect and prevent. In this paper, we discuss about Sybil and Wormhole attacks with schemes to detect and prevent these attacks.
A combined approach to search for evasion techniques in network intrusion det...eSAT Journals
Abstract Network Intrusion Detection Systems (NIDS) whose base is signature, works on the signature of attacks. They must be updated quickly in order to prevent the system from new attacks. The attacker finds out new evasion techniques so that he should remain undetected. As the new evasion techniques are being developed it becomes difficult for NIDS to give accurate results and NIDS may fail. The key aspect of our paper is to develop a network intrusion detection system using C4.5 algorithm where Adaboost algorithm is used to classify the packet as normal packet or attack packet and also to further classify different types of attack. Apriori algorithm is used to find real time evasion and to generate rules to find intrusion These rules are further given as input to Snort intrusion detection system for detecting different attacks. Keywords: NIDS, Evasion, Apriori Algorithm, Adaboost Algorithm, Snort
Network Security Enhancement in WSN by Detecting Misbehavioural Activity as C...ijtsrd
This system proposes a centralized system for replica identification. The network is divided into segments and an inspection node is chosen for each segment. Inspection node identifies a clone node by checking the nodes ID and cryptographic key. In this process, Chord algorithm is used to detect the clone node, every node is assigned with random key, before it transmits the data it has to give its key which would be verified by the witness node. If same key is given by another node then the witness node identifies the cloned node. Here every node only needs to know the neighbor list containing all neighbor IDs and its location. In this scheme, Energy Efficient Clustering Protocol EECP protocol is used to implement different energy saving methods. Dr. B. R. Tapas Bapu | Hemavathi S U | Poonkuzhali K | Sweety J "Network Security Enhancement in WSN by Detecting Misbehavioural Activity as Copy Cat Nodes" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31257.pdf Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/31257/network-security-enhancement-in-wsn-by-detecting-misbehavioural-activity-as-copy-cat-nodes/dr-b-r-tapas-bapu
A Secure Intrusion Detection System against DDOS Attack in Wireless Ad-Hoc Ne...IJERA Editor
MANET (Wireless Mobile Ad-hoc Network) is a technology which are used in society in daily life an
activities such as in traffic surveillance, in building construction or it’s application is used in battlefield also. In
MANET there is no control of any node here is no centralized controller that’s why each node has its own
routing capability. And each node act as device and its change its connection to other devices.
The main problem of today’s MANET is a security, because there is no any centralized controller. Our main aim
is that we protect them from DDOS attack in terms of flooding through messages, packet drop, end to end delay
and energy dropping etc. For that we are applying many techniques for saving energy of nodes and identifying
malicious node and types of DDOS attack and in this paper we are discussing this technique.
Hybrid Intrusion Detection System using Weighted Signature Generation over An...Editor IJMTER
To provide security to network we use existing Intrusion Detection System(IDS) for
identification of known attack with low false alarm,but it is not working when unknown attacks
occurs so to identify unknown attacks we use Anomaly based IDS(ADS) with high false alarm.
HIDS is the combination of IDS and ADS with their advantages for identification of known as well
as unknown attack.IDS used signature based model to identify known attack and ADS used anomaly
based model for identification of unknown attack.HIDS used internet episode rules for identify
known as well as unknown attacks.
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Detection and Prevention of Attacks in Wireless Sensor Networks: A Surveydbpublications
Wireless sensor networks will use a communication channel which is insecure and have a poor infrastructure. Wireless sensor networks consists of spatially distributed autonomous devices and using sensors they monitor the physical as well as the environmental conditions, such as pressure, temperature, sound at different locations. As the nodes in the sensor network are deployed in the hostile locations they are vulnerable to the attacks such as Hello flood attack, Jamming, Wormhole, Sybil, Sinkhole attack. These types of potential threats to network are continuously evolving and requires measures to detect and prevent. In this paper, we discuss about Sybil and Wormhole attacks with schemes to detect and prevent these attacks.
Proposed Agent Based Black hole Node Detection Algorithm for Ad-Hoc Wireless...ijcsa
A Mobile ad-hoc network (MANET) is a latest and eme
rging Research topic among researchers. The
reason behind the popularity of MANET is flexibilit
y and independence of network infrastructure. MANET
has some unique characteristic like dynamic network
topology, limited power and limited bandwidth for
communication. MANET has more challenge compare to
any other conventional network. However the
dynamical network topology of MANETs, infrastructur
e-less property and lack of certificate authority m
ake
the security problems of MANETs need to pay more at
tention. This paper represents review of layer wise
security attacks. It also discussed the issues and
challenges of mobile ad hoc network. On the importa
nce of
security issues, this paper proposed intrusion dete
ction framework for detecting network layer threats
such
as black hole attack.
NTRUSION D ETECTION S YSTEMS IN M OBILE A D H OC N ETWORKS : S TATE OF ...ijcsa
Mobile Ad Hoc Networks (MANETs) are more vulnerable
to different attacks. Prevention methods as
cryptographic techniques alone are not sufficient t
o make them secure; therefore, efficient intrusion
detection must be deployed and elaborated to facili
tate the identification of attacks. An Intrusion De
tection
System (IDS) aims to detect malicious and selfish n
odes in a network. The intrusion detection methods
used
normally for wired networks can no longer adequate
when adapted directly to a wireless ad-hoc network,
so existing techniques of intrusion detection have
to be changed and new techniques have to be determi
ned
to work efficiency and effectively in this new netw
ork architecture of MANETs. In this paper we give a
survey of different architectures and methods of in
trusion detection systems (IDSs) for MANETs
accordingly to the recent literature.
HYBRID ARCHITECTURE FOR DISTRIBUTED INTRUSION DETECTION SYSTEM IN WIRELESS NE...IJNSA Journal
In order to the rapid growth of the network application, new kinds of network attacks are emerging
endlessly. So it is critical to protect the networks from attackers and the Intrusion detection
technology becomes popular. Therefore, it is necessary that this security concern must be articulate
right from the beginning of the network design and deployment. The intrusion detection technology is the
process of identifying network activity that can lead to a compromise of security policy. Lot of work has
been done in detection of intruders. But the solutions are not satisfactory. In this paper, we propose a
novel Distributed Intrusion Detection System using Multi Agent In order to decrease false alarms and
manage misuse and anomaly detects
Deep Learning based Threat / Intrusion detection systemAffine Analytics
The article is about a Threat/Intrusion Detection System, which could be used to detect such data leaks/breaches & take a preventive action to contain, if not stop the damage due to breach.
NOVEL HYBRID INTRUSION DETECTION SYSTEM FOR CLUSTERED WIRELESS SENSOR NETWORKIJNSA Journal
Wireless sensor network (WSN) is regularly deployed in unattended and hostile environments. The WSN is vulnerable to security threats and susceptible to physical capture. Thus, it is necessary to use effective mechanisms to protect the network. It is widely known, that the intrusion detection is one of the most efficient security mechanisms to protect the network against malicious attacks or unauthorized access. In this paper, we propose a hybrid intrusion detection system for clustered WSN. Our intrusion framework uses a combination between the Anomaly Detection based on support vector machine (SVM) and the Misuse Detection. Experiments results show that most of routing attacks can be detected with low false alarm.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Enhancing the Security in WSN using Three Tier Security ArchitectureAM Publications,India
Security is the main issue while setting up the WSN network for node communication. This report describes the efficient mechanism for achieving the security between node communications by creating three tier security architecture. This system implements three tier architecture with the use of two polynomial pools having sensor nodes, mobile sinks and some access points that are also sensor nodes, to get better security. Two pools are common mobile polynomial pool and common static polynomial pool. Mobile sinks and access point carries keys from common mobile polynomial pool were as, access points and sensor nodes carries keys from common static polynomial pool. Communication gets established from mobile sink to access point then from access point to sensor node that shows three tier architecture Authentication is the main aspect of the system, that is achieved by pairwise key predistribution methods and authentication of the nodes with the use of polynomial keys. Here, Mobile sink replication attack is implemented against the network. The malicious node, it is blocked. If it wants to communicate within the network then it needs to capture large no of keys from both the pools for authentication. But as the sufficient keys are not available with it, it cannot communicate with the other nodes in the network
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
With the growth of computer networking, electronic commerce and web services, security networking systems have become very important to protect infomation and networks againts malicious usage or attacks. In this report, it is designed an Intrusion Detection System using two artificial neural networks: one for Intrusion Detection and the another for Attack Classification.
NETWORK INTRUSION DATASETS USED IN NETWORK SECURITY EDUCATIONIJITE
There is a gap between the network security graduate and the professional life. In this paper we discussed the different types of network intrusion dataset and then we highlighted the fact that any student can easily create a network intrusion dataset that is representative of the network they are in. Intrusions can be in form of anomaly or network signature; the students cannot grasp all types but they have to have the ability to detect malicious packets within his network.
Intrusion Detection Systems By Anamoly-Based Using Neural NetworkIOSR Journals
To improve network security different steps has been taken as size and importance of the network has
increases day by day. Then chances of a network attacks increases Network is mainly attacked by some
intrusions that are identified by network intrusion detection system. These intrusions are mainly present in data
packets and each packet has to scan for its detection. This paper works to develop a intrusion detection system
which utilizes the identity and signature of the intrusion for identifying different kinds of intrusions. As network
intrusion detection system need to be efficient enough that chance of false alarm generation should be less,
which means identifying as a intrusion but actually it is not an intrusion. Result obtained after analyzing this
system is quite good enough that nearly 90% of true alarms are generated. It detect intrusion for various
services like Dos, SSH, etc by neural network
1- Mobile ad hoc networks are formed dynamically by an
autonomous system of mobile nodes that are connected
via wireless links.
2- Multihop communication- node communicate with the
help of two or more node from source to destination.
3- No existing fixed infrastructure or centralized administration –No base station.
4- Mobile nodes are free to move randomly-Network topology changes frequently
5- May Operate as standalone fashion or also can be connected to the larger internet.
6- Each node work as router
Primary Goals of Security in MANET
To assure a reliable data transfer over the communication networks and to protect the system resources a number of security services are classified in five categories:-
1-Authentication:- The process of identifying an individual , usually based on a username and password.
2- Confidentially:- Confidentiality aims at protecting the data from disclosure to unauthorized person.
Network attacks against confidentiality
* Packet capturing
Password attack
Port scanning
Dumpster Diving
Wiretapping
Phishing and Pharming
2-Non repudiation:- Integrity guarantees that a message being transferred is never corrupted.
3- Integrity:- Integrity guarantees that a message being transferred is never corrupted.
network attack against integrity
Salami attack
trust relationship attacks
Man in the middle attack
Session hijacking attacks
4- Availability:- Its ensure that data ,network resources or network services are available to legitimate user when required.
network attack against availability
Denial of services attacks
Distributed denial of services attack
SYN flood attacks and ICMP flood attacks
Electrical power attacks
Server Room environment attacks
Key management
The security in networking is in many cases dependent on proper key management.
Key management consists of various services, of which each is vital for the security
of the networking systems
* Trust model:-Its must determine how much different element in the network can trust each other.
* Cryptosystem:- Public and symmetric key mechanism can be applied .
* Key creation:- It must determine which parties are allowed to generate key to themselves.
* Key storage :- In adhoc network any network element may have to store its own key and possibly key of other element as well.
* Key distribution:- The key management service must ensure that the generated keys are securely distributed to their owners.
In recent years, wireless sensor network (WSN) is used in several application areas resembling observance, tracking, and dominant in IoTs. for several applications of WSN, security is a crucial demand. However, security solutions in WSN disagree from ancient networks because of resource limitation and process constraints. This paper analyzes security solutions: TinySec, IEEE 802.15.4, SPINS, MiniSEC, LSec, LLSP, LISA, and LISP in WSN. This paper additionally presents characteristics, security needs, attacks, cryptography algorithms, and operation modes. This paper is taken into account to be helpful for security designers in WSNs.
Proposed Agent Based Black hole Node Detection Algorithm for Ad-Hoc Wireless...ijcsa
A Mobile ad-hoc network (MANET) is a latest and eme
rging Research topic among researchers. The
reason behind the popularity of MANET is flexibilit
y and independence of network infrastructure. MANET
has some unique characteristic like dynamic network
topology, limited power and limited bandwidth for
communication. MANET has more challenge compare to
any other conventional network. However the
dynamical network topology of MANETs, infrastructur
e-less property and lack of certificate authority m
ake
the security problems of MANETs need to pay more at
tention. This paper represents review of layer wise
security attacks. It also discussed the issues and
challenges of mobile ad hoc network. On the importa
nce of
security issues, this paper proposed intrusion dete
ction framework for detecting network layer threats
such
as black hole attack.
NTRUSION D ETECTION S YSTEMS IN M OBILE A D H OC N ETWORKS : S TATE OF ...ijcsa
Mobile Ad Hoc Networks (MANETs) are more vulnerable
to different attacks. Prevention methods as
cryptographic techniques alone are not sufficient t
o make them secure; therefore, efficient intrusion
detection must be deployed and elaborated to facili
tate the identification of attacks. An Intrusion De
tection
System (IDS) aims to detect malicious and selfish n
odes in a network. The intrusion detection methods
used
normally for wired networks can no longer adequate
when adapted directly to a wireless ad-hoc network,
so existing techniques of intrusion detection have
to be changed and new techniques have to be determi
ned
to work efficiency and effectively in this new netw
ork architecture of MANETs. In this paper we give a
survey of different architectures and methods of in
trusion detection systems (IDSs) for MANETs
accordingly to the recent literature.
HYBRID ARCHITECTURE FOR DISTRIBUTED INTRUSION DETECTION SYSTEM IN WIRELESS NE...IJNSA Journal
In order to the rapid growth of the network application, new kinds of network attacks are emerging
endlessly. So it is critical to protect the networks from attackers and the Intrusion detection
technology becomes popular. Therefore, it is necessary that this security concern must be articulate
right from the beginning of the network design and deployment. The intrusion detection technology is the
process of identifying network activity that can lead to a compromise of security policy. Lot of work has
been done in detection of intruders. But the solutions are not satisfactory. In this paper, we propose a
novel Distributed Intrusion Detection System using Multi Agent In order to decrease false alarms and
manage misuse and anomaly detects
Deep Learning based Threat / Intrusion detection systemAffine Analytics
The article is about a Threat/Intrusion Detection System, which could be used to detect such data leaks/breaches & take a preventive action to contain, if not stop the damage due to breach.
NOVEL HYBRID INTRUSION DETECTION SYSTEM FOR CLUSTERED WIRELESS SENSOR NETWORKIJNSA Journal
Wireless sensor network (WSN) is regularly deployed in unattended and hostile environments. The WSN is vulnerable to security threats and susceptible to physical capture. Thus, it is necessary to use effective mechanisms to protect the network. It is widely known, that the intrusion detection is one of the most efficient security mechanisms to protect the network against malicious attacks or unauthorized access. In this paper, we propose a hybrid intrusion detection system for clustered WSN. Our intrusion framework uses a combination between the Anomaly Detection based on support vector machine (SVM) and the Misuse Detection. Experiments results show that most of routing attacks can be detected with low false alarm.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Enhancing the Security in WSN using Three Tier Security ArchitectureAM Publications,India
Security is the main issue while setting up the WSN network for node communication. This report describes the efficient mechanism for achieving the security between node communications by creating three tier security architecture. This system implements three tier architecture with the use of two polynomial pools having sensor nodes, mobile sinks and some access points that are also sensor nodes, to get better security. Two pools are common mobile polynomial pool and common static polynomial pool. Mobile sinks and access point carries keys from common mobile polynomial pool were as, access points and sensor nodes carries keys from common static polynomial pool. Communication gets established from mobile sink to access point then from access point to sensor node that shows three tier architecture Authentication is the main aspect of the system, that is achieved by pairwise key predistribution methods and authentication of the nodes with the use of polynomial keys. Here, Mobile sink replication attack is implemented against the network. The malicious node, it is blocked. If it wants to communicate within the network then it needs to capture large no of keys from both the pools for authentication. But as the sufficient keys are not available with it, it cannot communicate with the other nodes in the network
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
With the growth of computer networking, electronic commerce and web services, security networking systems have become very important to protect infomation and networks againts malicious usage or attacks. In this report, it is designed an Intrusion Detection System using two artificial neural networks: one for Intrusion Detection and the another for Attack Classification.
NETWORK INTRUSION DATASETS USED IN NETWORK SECURITY EDUCATIONIJITE
There is a gap between the network security graduate and the professional life. In this paper we discussed the different types of network intrusion dataset and then we highlighted the fact that any student can easily create a network intrusion dataset that is representative of the network they are in. Intrusions can be in form of anomaly or network signature; the students cannot grasp all types but they have to have the ability to detect malicious packets within his network.
Intrusion Detection Systems By Anamoly-Based Using Neural NetworkIOSR Journals
To improve network security different steps has been taken as size and importance of the network has
increases day by day. Then chances of a network attacks increases Network is mainly attacked by some
intrusions that are identified by network intrusion detection system. These intrusions are mainly present in data
packets and each packet has to scan for its detection. This paper works to develop a intrusion detection system
which utilizes the identity and signature of the intrusion for identifying different kinds of intrusions. As network
intrusion detection system need to be efficient enough that chance of false alarm generation should be less,
which means identifying as a intrusion but actually it is not an intrusion. Result obtained after analyzing this
system is quite good enough that nearly 90% of true alarms are generated. It detect intrusion for various
services like Dos, SSH, etc by neural network
1- Mobile ad hoc networks are formed dynamically by an
autonomous system of mobile nodes that are connected
via wireless links.
2- Multihop communication- node communicate with the
help of two or more node from source to destination.
3- No existing fixed infrastructure or centralized administration –No base station.
4- Mobile nodes are free to move randomly-Network topology changes frequently
5- May Operate as standalone fashion or also can be connected to the larger internet.
6- Each node work as router
Primary Goals of Security in MANET
To assure a reliable data transfer over the communication networks and to protect the system resources a number of security services are classified in five categories:-
1-Authentication:- The process of identifying an individual , usually based on a username and password.
2- Confidentially:- Confidentiality aims at protecting the data from disclosure to unauthorized person.
Network attacks against confidentiality
* Packet capturing
Password attack
Port scanning
Dumpster Diving
Wiretapping
Phishing and Pharming
2-Non repudiation:- Integrity guarantees that a message being transferred is never corrupted.
3- Integrity:- Integrity guarantees that a message being transferred is never corrupted.
network attack against integrity
Salami attack
trust relationship attacks
Man in the middle attack
Session hijacking attacks
4- Availability:- Its ensure that data ,network resources or network services are available to legitimate user when required.
network attack against availability
Denial of services attacks
Distributed denial of services attack
SYN flood attacks and ICMP flood attacks
Electrical power attacks
Server Room environment attacks
Key management
The security in networking is in many cases dependent on proper key management.
Key management consists of various services, of which each is vital for the security
of the networking systems
* Trust model:-Its must determine how much different element in the network can trust each other.
* Cryptosystem:- Public and symmetric key mechanism can be applied .
* Key creation:- It must determine which parties are allowed to generate key to themselves.
* Key storage :- In adhoc network any network element may have to store its own key and possibly key of other element as well.
* Key distribution:- The key management service must ensure that the generated keys are securely distributed to their owners.
In recent years, wireless sensor network (WSN) is used in several application areas resembling observance, tracking, and dominant in IoTs. for several applications of WSN, security is a crucial demand. However, security solutions in WSN disagree from ancient networks because of resource limitation and process constraints. This paper analyzes security solutions: TinySec, IEEE 802.15.4, SPINS, MiniSEC, LSec, LLSP, LISA, and LISP in WSN. This paper additionally presents characteristics, security needs, attacks, cryptography algorithms, and operation modes. This paper is taken into account to be helpful for security designers in WSNs.
AN IMPROVED WATCHDOG TECHNIQUE BASED ON POWER-AWARE HIERARCHICAL DESIGN FOR I...IJNSA Journal
Preserving security and confidentiality in wireless sensor networks (WSN) are crucial. Wireless sensor networks in comparison with wired networks are more substantially vulnerable to attacks and intrusions. In WSN, a third person can eavesdrop to the information or link to the network. So, preventing these intrusions by detecting them has become one of the most demanding challenges. This paper, proposes an
improved watchdog technique as an effective technique for detecting malicious nodes based on a power aware hierarchical model. This technique overcomes the common problems in the original Watchdog mechanism. The main purpose to present this model is reducing the power consumption as a key factor
for increasing the network's lifetime. For this reason, we simulated our model with Tiny-OS simulator and then, compared our results with non hierarchical model to ensure the improvement. The results indicate that, our proposed model is better in performance than the original models and it has increased the lifetime of the wireless sensor nodes by around 2611.492 seconds for a network with 100 sensors.
HYBRID ARCHITECTURE FOR DISTRIBUTED INTRUSION DETECTION SYSTEM IN WIRELESS NE...IJNSA Journal
In order to the rapid growth of the network application, new kinds of network attacks are emerging endlessly. So it is critical to protect the networks from attackers and the Intrusion detection technology becomes popular. Therefore, it is necessary that this security concern must be articulate right from the beginning of the network design and deployment. The intrusion detection technology is the process of identifying network activity that can lead to a compromise of security policy. Lot of work has been done in detection of intruders. But the solutions are not satisfactory. In this paper, we propose a novel Distributed Intrusion Detection System using Multi Agent In order to decrease false alarms and manage misuse and anomaly detects.
Securing WSN communication using Enhanced Adaptive Acknowledgement ProtocolIJMTST Journal
Wireless Sensor Networking is one of the most important technologies that have different applications. The
security of wireless sensor networks is a big concern. Hence for secure communication it is important to
detect and prevent the attacks in network. Major focus is given on security and on detection and prevention of
attacks. Adversary can create gray-hole attack and black-hole attack simultaneously. There are many
methods which do not provide proper method to defend against these kinds of attacks. The Ad-hoc On
Demand Distance Vector (AODV) scheme is used for detecting Gray-Hole attack and Enhanced Adaptive
Acknowledgment (EAACK) mechanism is used for detecting black-hole attack in network. But only by
detecting and preventing the attacks, it does not provide the better security to wireless network. Therefore, to
secure network a hybrid mechanism is deployed in wireless sensor network. Security algorithm for wireless
sensor networks such as CAWS and Modern Encryption Standard (MES-1) is used for secure communication.
The CAWS and Modern Encryption Standard (MES-1) is an advanced cryptography method which is used for
encryption and decryption process to provide special security.
Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...IDES Editor
Wireless sensor networks are networks having non
wired infrastructure and dynamic topology. In OSI model each
layer is prone to various attacks, which halts the performance
of a network .In this paper several attacks on four layers of
OSI model are discussed and security mechanism is described
to prevent attack in network layer i.e wormhole attack. In
Wormhole attack two or more malicious nodes makes a covert
channel which attracts the traffic towards itself by depicting a
low latency link and then start dropping and replaying packets
in the multi-path route. This paper proposes promiscuous mode
method to detect and isolate the malicious node during
wormhole attack by using Ad-hoc on demand distance vector
routing protocol (AODV) with omnidirectional antenna. The
methodology implemented notifies that the nodes which are
not participating in multi-path routing generates an alarm
message during delay and then detects and isolate the
malicious node from network. We also notice that not only
the same kind of attacks but also the same kind of
countermeasures can appear in multiple layer. For example,
misbehavior detection techniques can be applied to almost all
the layers we discussed.
A Novel Approach to Detect & Prevent Wormhole Attack over MANET & Sensor n/w ...IOSR Journals
Abstract: In Mobile Ad hoc Network (MANET) mobile node is responsible for route establishment using
wireless link where each node may behave like both as a host and router. MANET encounters number of
security threats because of its open entrusted environment, with little security arrangement, security over
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other to hide their actual location and give the illusion that they are true neighbours and attract other nodes to
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brink of false negative rate, routing overhead etc. The present paper has proposed the hybrid model in order to
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Keywords: Mobile Ad hoc Network, Selfish node, Malicious node, AODV
Wireless sensor networks are made up of number of tiny mobile nodes, which
have the capability of computation, sensing and wireless network communication. The
energy efficiency of each node in such kind of networks is one of the important issues under
consideration. Thus for these networks, sensor nodes life time is basically depends on use of
routing protocols for routing operations in WSN. There are various routing protocols
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performance of network lifetime and energy scavenging. There are different routing
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types of security threats, there are many security methods presented with their own
advantages and disadvantages. Most of security methods are applied only on homogeneous
WSN, but recently some methods were presented to provide the routing security in
heterogeneous WSNs as well. In this paper, the different security threats and Intrusions in
WSNs are presented, with review of different security methods.
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G0262042047
1. International Journal of Engineering Science Invention
ISSN (Online): 2319 – 7722, ISSN (Print): 2319 – 7714
www.ijhssi.org Volume 2 Issue 6 ǁ June. 2013ǁ PP.42-47
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Attack Library Based Intrusion Detection System to Secure
Manets
Shashank Kumar Chaudhary 1
,Bramah Hazela 2
(1
Department of computer science and engineering, Amity University, Lucknow, India)
(2
Assistant Professor, Department of computer science and engineering, Amity University, Lucknow, India)
ABSTRACT: A mobile ad hoc network is a wireless network which is also infrastructure less network, these
networks are self-configuring. Due to lack of infrastructure and central management, the security issues are the
important concern. In this paper author have proposed a model which provides certificate based authentication
and attack library based Intrusion detection system. Certificate based authentication helps to establish a secure
connection, whereas attack library based intrusion detection system provide facility to detect the malicious node
present in the network.
KEYWORDS: Dynamic certificate Authority, Intrusion Detection System, mobile ad hoc networks.
I. INTRODUCTION
A mobile ad hoc networks are the wireless network with the collection of mobile nodes. The mobile
nodes are connected in to each other during communication .The mobile nodes in the network can move up to a
range during the communication. The intermediate mobile nodes in the network act as the mobile agent. The
mobile nodes in the MANETs may be with bi-directional or unidirectional links .Each node in the network act
as the router, transmitter or receiver. The mobile nodes operate in the network because they have their individual
battery power.
Fig.1 Mobile ad hoc network.
MANET follows different mobility models according to their temporal and spatial dependencies.
Mobility models used are: random waypoint, random point group mobility and freeway mobility model. Due to
the mobility of nodes the routing protocol performance affected. Due to the rapid growth of mobile gadgets such
as laptop, mobile phones, PDAs etc., MANET become the communication paradigm. Infrastructure network
based on the fixed base station which acts as access point (centralized point). Infrastructure less network are
wireless network, they are self-configuring so there is no centralized access point. MANETs was designed for
military application, natural disasters, data collection and virtual classes. MANETs are categories in two types:
open manet and closed manet. In open manet resources are shared among nodes to achieve different goal. In
closed manet resources are shared among nodes to achieve common goals .Security has become important issue
in the MANETs. Attacks in the adhoc network due to the presence of the malicious node. In this paper, MANET
security issue is tackled, namely to prevent the network from malicious node and to establish a secure
communication between the secure nodes.
II. BACKGROUND
MANET is a self-organizing network of mobile nodes. MANET does not have any fixed topology, due
to dynamic topology it is very difficult task to secure network topology. Several papers focused on the security
issues of the MANET.
D. Sterne, et al. [9], described a architecture for intrusion detection to secure MANET. The architecture
works in hierarchy it collects the detection data from leaves node and flow upward to the root node. To establish
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a secure communication, the hierarchy automatically reconfigured itself based on network topology. A new
intrusion detection system name Enhanced Adaptive Acknowledgement (EAACK) was proposed by U.
Sharmila Begam,et al. [1].
EAACK is able to detect the malicious node based on report of misbehaving node. While detecting malicious
node, the EAACK does not affect network performance. S.Tamilarasan, et al. [5] describe the logical survey to
detect the malicious node based on their behaviour and pattern, and proposed the techniques used for detecting
misbehaving nodes. To establish a trust management by monitoring the other neighbor nodes Reijo Savola [8]
has proposed a model, and also describe the security metrices used in MANET.
III. PROBLEM DOMAIN
In many research work different techniques have been proposed for detecting misbehaving nodes.
Detecting misbehaving node through proposed techniques is a time consuming process. These techniques are
time consuming because they are applied one by one to detect misbehaving node. To overcome this problem
author have proposed an attack library based intrusion detection system. Dynamic certificate authority based
authentication model is proposed to establish a secure communication between the nodes.
IV. BEHAVIORAL CHARACTERISTICS OF NODE IN MANETS
In MANET nodes act as receiver and transmitter within communication range. Source node
communicates to destination node through intermediate nodes present in the network. Attacker aims to attack
the network through these intermediate nodes by making these nodes malicious.
Malicious nodes tend to cause fallowing attacks:
A.) Black-Hole Attack
Fig.2 Black hole attack.
In this attack the malicious node advertise or shows itself, having the shortest path to the destination
node whose packets it wants to hamper. For e.g. in the above figure N2 (malicious node) in the network
advertise itself to have shortest path to the destination node. So N2 node wants to interrupt destination node
packet.
B. Worm-Hole Attack
The attacker creates a tunnel at malicious node so that when malicious node receives a packet it drops the packet
through tunnel.
Fig.3 Worm hole attack.
For e.g. in the above figure the node N4 (Malicious node) creates a tunnel. When node N4 receives a packet
then it drops through the tunnel.
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C. Spoofing Attack
Misbehaving node hires the identity of another node and receives all the packets or messages of that node.
D. Denial of Service
The attacker node exploits the bandwidth of the network .The attacker node (malicious node) generates
unnecessary route requests so that to make network resources unavailable to authentic nodes.
E. Energy Consumption
Mobile nodes in MANETs have limited battery backup. So the mobile nodes save their battery power by
transmitting only necessary data. In this attack, attacker aims to consume the power of battery by routing
unnecessary packets to other nodes.
F. Information Disclosure
In MANETs the data flow in the network in the form of packets. When the data is processed information is
produced. In this attack the attacker attempts to destroy the confidentiality, integrity or availability of the data.
Attacks on confidentiality:
The attacker aims to disclose the confidential data of the data packet, which is only accessible by the
authorized node.
Attacks on integrity:
The integrity of the packet is lost. The attacker, alter the data packets by modification and removal of data
packet content.
Attacks on availability:
In this attack the attacker node routes huge amount of unnecessary traffic to make network resources
unavailable to other nodes.
V. INTRUSION DETECTION SYSTEM (IDS)
In any network intrusion detection system (IDS) monitors activities of both user and program. Intrusion
detection can be done in two ways: Network based intrusion detection and Host based intrusion detection.
Network based intrusion detection runs at the gateway of the network and monitor and captures all the
information about packet that passes through that gateway whereas host based intrusion detection system runs
on the operating system and monitors all the program and event performed by the user or host.
A. Attack Library Based Intrusion Detection System
An attack library is the collection of types and patterns of attacks. Varying components of attack library based
intrusion detection system are as follows:
Analyzer:
The work of analyzer is to analyze and monitor the node in the network. Analyzer fallows two
methodologies for detection: misuse and anomaly detection.
Misuse detection is based on the pattern, in this detection the node pattern in terms of their event
sequence is monitor. Anomaly detection is based on the behavior monitoring, the node behavior deviations is
compared with normal behavior, if there is change then the analyzer record it.
Attack Library:
Attack library is a collection of well-organized designed attacks and test cases. It also provides facility
to generate new test cases for new attacks. Attacks are organized in the hierarchy structure. The attack library
uses these patterns and behavior to construct the test cases. The attack library works on a step of designed test
cases. The attack library generates response on the given input. It also generates the UID (unique ID) for the
authentic node. Attack library also monitors the behavior and pattern of directly attached node.
Certificate Authority:
Certificate authority is the trusted authority that can be used for issuing certificate to make secure
communication .The certificate consists of UID, block signed by certificate authority, Key .UID in the
certificate is generated by the attack library after verification of node that it is not a malicious node.
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Fig.4 Attack Library based intrusion detection system
Steps involved in attack library based intrusion detection system are:
1. Node A activates the analyzer with information to monitor node B.
2. Node A sends a request to node B to establish a communication path.
3. Node B send acknowledgement to node A. Node B send acknowledgement to ensure that he has received
the request. Node B sends a message with acknowledgement whether he wants to establish a connection or
not.
4. Analyzer analyzing Node B during the step-2 & 3. Analyzer sends report of Node B to Node A.
5. Node A sends report and acknowledgement of node B. Node A sends ACK of Node B because it contains
network parameters like response time etc.
6. Attack library response with a message and UID (unique ID) of both nodes A & B. Message contains
information about node B where it is a malicious node or not. The UID is generated by attack library only
when the node is not a malicious node. If it is malicious then Node A broadcast a message in the network
that Node b is malicious. Here attack library monitor node A (direct attached to attack library) after getting
report and acknowledgement of node B. Attack library monitor requesting node (node A) to check it is
malicious or not.
7. Sends UID to certificate authority
VI. DYNAMIC CERTIFICATE AUTHORITY BASED AUTHENTICATION
Fig.5 Dynamic Certificate Authority.
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Dynamic certificate authority is the collection of node UID and its work is to issue certificate to
establish a secure communication between the nodes. The UID is used by certificate authority during issuing
certificate. UID is generated by the attack library during intrusion detection. Due to the concept of attack library
based UID generation only authorized nodes in the network can request for a certificate from certificate
authority. In the above diagram C(A) is certificate of node A, C(B) is certificate of node B, PRath is private key
of certificate authority, T(A) is time stamp for node A certificate, T(B) is the time stamp for node B certificate,
PUa and PUb are the public key of node A and B. Steps involved in Dynamic certificate authority to issue a
certificate are:
1. Node A sends a request to node B to establish a connection.
2. Node B asks for certificate from Node A.
3. Node A send request to certificate Authority to generate certificate of node A and also send public key of A.
4. Certificate authority send certificate to node A which includes UID, Time stamp of node A and public
key of A. The certificate is encrypted by certificate authority using its own private key.
5. Node A receives certificate and decrypt certificate using the public key of certificate authority. Node A
checks for time stamp T (A) to conform that the certificate is not old. Then send C (A) to node B and
request for B certificate.
6. Then node B send request to certificate authority to generate certificate C (B) and also sends his own public
key PUb .
7. Certificate authority generates certificate and encrypt with its own private key and send to node B.
8. Node B decrypts certificate using public key of certificate authority and checks time stamp. Then node B
send certificate C (B) to node A.
After exchanging certificate of each other node A and node B can establish a secure communication.
In proposed model Dynamic certificate Authority the name dynamic is used because the certificate authority
database is transfer to another authentic node present in the network. The certificate authority maintains a
priority list of nodes on the basis of number of times the node has requested for the certificate. The certificate
authority selects that node which has less time requested for certificate because that node power energy backup
is more than the other busy nodes present in network.
Fig.6 Transfer of certificate authority database.
1. Steps involved during the transfer of certificate authority database are:
2. Certificate authority selects the node from priority list to which he wants to transfer the certificate authority
database. After selecting the node certificate authority send request for UID of node X.
3. The node X response to the request and send UID to certificate authority.
4. Certificate authority checks for the UID and conform that the node is authentic or correct one. Then
certificate authority send a message to node X which include that he wants to establish a connection and
attach a time stamp that is used maintain a session for given period of time.
5. Node X sends conformation message.
6. Certificate authority transfer database to node X.
7. Certificate authority update attack library with the UID of new certificate authority.
8. After all these process the Node X acts as the new certificate authority.
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VII. CONCLUSION
This paper focuses on security measures to secure MANETs from attacker. The proposed model which
is based on Attack library based intrusion detection system, helps in detecting the malicious node to secure the
network. Further dynamic certificate authority based authentication model have been proposed which is used to
make an trusted communication between the nodes by using exchanging certificate.
VIII. FUTURE SCOPE
Many research has been done and going on the security of MANET. Moreover the proposed security
model is used to detect the malicious node and to make a secure communication. Our future work will include
the further exploration of attack library i.e. patterns, test cases and to implement the proposed model using
simulator.
IX. ACKNOWLEDGMENT
I would like to thanks Maj. K.K. Ohri (AVSM), Pro.V.C, Amity University, Lucknow Campus. I would
like to further extend my sincere gratitude to Prof. S.T.H. Abdi, Director(ASET) , and Brig. Umesh Chopra,
Deputy Director (ASET), Amity University, Lucknow Campus for their encouragement. I am extremely grateful
to Prof.Deepak Arora, head of computer science and engineering department for this insightful comment. I would
like to express my sincere thanks to Bramah Hazela , Assistant professor , Department of computer science and
engineering ,Amity University Lucknow.
REFERENCES
[1]. U. SharmilaBegam, Dr. G. Murugaboopathi, “A RECENT SECURE INTRUSION DETECTION SYSTEM FOR MANETS” in
International Journal of Emerging Technology and Advanced Engineering Volume 3, Special Issue 1, January 2013.
[2]. DilipVishwakarma, Deepak Chopra, “International Journal of Engineering and Advanced Technology” in Volume-1, Issue-6,
August 2012.
[3]. Mohammed Mujeeb, Sudhakar K N, JitendranathMungara, “Reputation-Based Security Protocol for MANETs” in International
Journal of Innovative Technology and Exploring EngineeringVolume-1, Issue-2, July 2012.
[4]. Chandreyee Chowdhury, SarmisthaNeogy, “SECURING MOBILE AGENTS IN MANET AGAINST ATTACKS USING
TRUST” in International Journal of Network Security & Its Applications (IJNSA), Vol.3, No.6, November 2011.
[5]. S. Tamilarasan and Dr. Aramudan, “A Performance and Analysis of Misbehaving node in MANET using Intrusion Detection
System” in International Journal of Computer 258 Science and Network Security, VOL.11 No.5, May 2011.
[6]. N.Jaisankar, K.DuraiSwamy “A Novel security framework for protecting Network Layer operations in MANET” in International
Journal of Engineering and Technology Vol.1,No.5,December, 2009.
[7]. S. Madhavi, Dr. Tai Hoon Kim, “AN INTRUSION DETECTION SYSTEM IN MOBILE ADHOCNETWORKS” in
International Journal of Security and Its Applications Vol. 2, No.3, July, 2008.
[8]. Reijo Savola, “Node-Level Information Security Monitoring for Mobile Ad Hoc Networks” in Proceedings of the ETRICS'06
Workshop on Security in Autonomous Systems, 2006.
[9]. D. Sterne, P. Balasubramanyam, D. Carman1, B. Wilson, R. Talpade, C. Ko,R. Balupari, C-Y. Tseng2, T. Bowen, K. Levitt and
J. Rowe, “A General Cooperative Intrusion Detection Architecture for MANETs” in Third IEEE International Workshop on
Information Assurance ,2005.
[10]. RicardoPuttini, Rafael de Sousa, LudovicMé, “Combining Certification-based Authentication and Intrusion Detection toSecure
Manet Routing Protocols” in Proceedings of the European Wireless Conference Mobile and Wireless Systems Beyond 3G ,2004.
[11]. Y. Huang and W. Lee, “A cooperative intrusion detection system for ad hoc networks,” in Proc. ACM Workshop onSecurity in
Ad Hoc and Sensor Networks (SASN'03),October 2003.
[12]. S. Capkun, L. Buttyan, and J. P. Hubaux.“Self-organized public key management for mobile ad hoc networks” in IEEE
Transactions on Mobile Computing, page 17, 2003.