Wireless Security - Science topic

network's Security, HEC Approved PhD Supervisor WIPO-Korea Summer School on Intellectual Property 2020

C/N = 20 log 10 [Vc/ Vn]

Basically, there are three main steps for secure key generation based physical layer properties . These are 1) randomness extraction 2) reconciliation 3) privacy amplification .

We usually refer to key agreement by the reconciliation where some correction techniques can be used such as LDPC , cascaded , .... .

Due to the leak of the information in the reconciliation step , the privcy amplification can be utilized by the mean of some functions like universal hashing function

Dear Eduard

You should catch a glemps of links below:

Thank you Sara.

I will simulate the OLSR in 3 scenarios: Basic, Attacked and Secured.

I want to know the most important statistics that i should collect to test my solution.

Regards.

Key management

Wireless mostly offers slower speeds than wired links.

wirelessHart 

I hope this would be helpful to you

Nguyen, Thien D., Jamil Y. Khan, and Duy T. Ngo. "Energy harvested IEEE 802.15. 4 wireless body area network." Proceedings of the 10th EAI International Conference on Body Area Networks. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 2015.

Hi

as you know because of these challenges :

( dynamic topologies , absence of infrastructure , limited bandwidth ,need to cooperate , auto-configuration ,etc) that make ad hoc network more vulnerable as one of the branches wireless Networks measuring with wired networks so we can not restriction issues so these are most issues :

security issues in ad hoc (vehicular ad hoc networks , mobile ad hoc networks) are routing protocols at network layer and also spanning across all layers of communication stack issues and there are many security issues which have been studied in recent years. for instance:spoofing attacks , wormhole attacks , black hole attacks , denial of service (DoS) attacks ,distributed DoS (DDoS) , etc..

regards...

I think before burning it, you should try it using Cooja or Tossim.

This may help you.

Thanks Guys your answers is really appreciated. I am still would like to hear from someone who already has used either omnet++ or NS2 for WSN encryption.

you can use fazzy logic or automata  for select best decide  for your network ;

for example fuzzy help you consider several parameters and select best decide base this parameters 

or you can use automata for determinat state probability for next dicide 

best regard ..

Refer  this paper.....it may be helpful to you.....

here's a survey to start

please refer to this pdf

WMAN enables the users to create wireless connections between multiple locations within a metropolitan area. It connects the multiple office buildings in a city or on a university campus. WMAN does not require high cost of placing fiber or copper cabling and leasing lines. Further, WMAN can work as backups for wired networks.

WMAN uses either infrared light or radio waves to transfer data. WMAN is supported with three different standards.

• 802.16

• HiperMAN

• HiperACCESS

In addition, Back haul and last mile are two fundamental types of WMAN.

The advantage of MWAN for implementing metropolitan area network is its beauty due to less cost than fiber-based Local area networks (LANs) due to several reasons. It is easy to use, extend, exchange or back up prevailing fiber infrastructure within hours, preserving time and money on personnel. It also eradicates leased line costs, fiber trenching cost in laying fiber. Another noteworthy benefit of implementing the WMAN is to bridge the “digital divide” by affording linking communities that have not had the access to wireless internet connections and LAN. Implementing of WMAN allows companies, government agencies, etc. to swiftly increase their internet service into new marketplaces for generating better revenues. From other side, WMAN has security issue because it consists of large area and having problem being hacked the information. A WMAN is merely a bigger WAN track, and thus provides the larger chance for a hacker.

Data aggregation in WSN refers to send data from the sensor nodes to the gateway node. There are several aggregation approaches used followed in Wireless Sensor Network, Such as

• Tree based Aggregation

• In network aggregation

Data aggregation in WSN consists of two major security challenges: confidentiality and integrity of data. In addition, traditional method of encryption is also used to offer end to end confidentiality in WSNs. The aggregators in a secure data aggregation scenario require to decrypt the encrypted data to accomplish aggregation.

I will recommend the following healthy contributions to understand the topic in more detail.

1). S.Roy, M.Conti, S. Setia, S.Jajodia, “Secure Data Aggregation in Wireless Sensor Networks”, IEEE Transactions on Information Forensics and Security, Vol.7, no.3, July 2012, pp. 1040 – 1052.

2). Suat Ozdemir, Yang Xiao, “Secure data aggregation in wireless sensor networks: A comprehensive over view”, International Journal of Elsevier on Computer Networks, vol. 53, 2009, pp. 2022–2037.

3). A Spatio-Temporal Data Aggregation Scheme for Wireless Sensor Networks, European Journal of Scientific Research ISSN 1450-216X Vol.74 No.4 (2012), pp. 516-526.

Thank You!!!

We did some work on this topic. Please have a look at

Nicolai Kuntze, Andreas Fuchs, and Carsten Rudolph. Reliable Identities using off-the-shelf hardware security in MANETs. In Proceedings of the International Symposium on Trusted Computing and Communications (TrustCom 2009), 2009.

NS2 is better for wireless network protocols such as LEACH protocol

Black holes are places in the network where incoming or outgoing traffic is silently discarded without informing the source that data did not reach its intended recipient.

Such attacks can only be detected by monitoring the lost traffic

Some Solution/rules to detect blackhole attack

1. Black hole filtering: dropping packets at the routing level, usually using a routing protocol to implement the filtering on several routers at once, often dynamically to respond quickly to distributed denial-of-service attacks.

2. A DNS-based Blackhole List (DNSBL) or Real-time Blackhole List (RBL) is a list of IP addresses published through the Internet Domain Name System (DNS) either as a zone file that can be used by DNS server software, or as a live DNS zone that can be queried in real-time. DNSBLs are most often used to publish the addresses of computers or networks linked to spamming; most mail server software can be configured to reject or flag messages which have been sent from a site listed on one or more such lists. The term "Blackhole List" is sometimes interchanged with the term "blacklist" and "blocklist".

Layer 2 security offers only a hop by hop protection, which means that at each point between the source and the destination data are decrypted and then reencrypted. An end to end protection is provided by protocols at higher levels such as IPSEC at the network layer and DTLS at the transport layer.

What's the relation between sleep time and worm attack? As WSN is a LAN with its entry point at the sink, so unless the sink is infected, how come a node can be infected?

hi venkates me also working in the same area could u plz tell the simulation tool u r using for the simulation of sensor network