Data Mining - Concepts and Techniques.

Data Mining Practical Machine Learning Tools and Techniques

Swarm intelligence is a research branch that models the population of interacting agents or swarms that are able to self-organize. An ant colony, a flock of birds or an immune system is a typical example of a swarm system. Bees' swarming around their hive is another example of swarm intelligence. Artificial Bee Colony (ABC) Algorithm is an optimization algorithm based on the intelligent behaviour of honey bee swarm. In this work, ABC algorithm is used for optimizing multivariable functions and the results produced by ABC, Genetic Algorithm (GA), Particle Swarm Algorithm (PSO) and Particle Swarm Inspired Evolutionary Algorithm (PS-EA) have been compared. The results showed that ABC outperforms the other algorithms.

/pdf/a-powerful-and-efficient-algorithm-for-numerical-function-594pvbjq1k.pdf

A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm

Artificial bee colony (ABC) algorithm is an optimization algorithm based on a particular intelligent behaviour of honeybee swarms. This work compares the performance of ABC algorithm with that of differential evolution (DE), particle swarm optimization (PSO) and evolutionary algorithm (EA) for multi-dimensional numeric problems. The simulation results show that the performance of ABC algorithm is comparable to those of the mentioned algorithms and can be efficiently employed to solve engineering problems with high dimensionality.

/pdf/on-the-performance-of-artificial-bee-colony-abc-algorithm-5234goeamq.pdf

On the performance of artificial bee colony (ABC) algorithm

A comparative study of Artificial Bee Colony algorithm

In this article, a novel antenna subset selection technique for enhancing the Physical Layer Randomness (PLR) of Antenna Subset Modulation (ASM) has been proposed. Hamming Distance Optimized Antenna Subset Selection (HD-OASS) minimizes the correlation between the antenna subsets at transmitter by maximizing the hamming distance between the successively used antenna subsets. Unlike previously proposed Randomized Antenna Subset Selection (RASS) and Side-Lobe Level Optimized Antenna Subset Selection (SLL-OASS), in which antenna subsets are randomly selected from the codebook, HD-OASS chooses the antenna subsets having optimally maximized hamming distance. It is shown that SLL-OASS has rather unfavorable effects on encryption strength due to considerable reduction of codebook size. Furthermore, HD-OASS has been shown to outperform RASS and SLL-OASS in terms of encryption strength in the unwanted directions of eavesdropper.

/pdf/inter-subset-hamming-distance-maximization-for-enhancing-the-2ichg4zib2.pdf

Inter-Subset Hamming Distance Maximization for Enhancing the Physical Layer Security of Antenna Subset Modulation

Recently, a significant amount of interest has been developed in motivating physicians to use e-health technology (especially Electronic Medical Records (EMR) systems). An important utility of such EMR systems is: a next generation of Clinical Decision Support Systems (CDSS) will extract knowledge from these electronic medical records to enable physicians to do accurate and effective diagnosis. It is anticipated that in future such medical records will be shared through cloud among different physicians to improve the quality of health care. Therefore, right protection of medical records is important to protect their ownership once they are shared with third parties. Watermarking is a proven well known technique to achieve this objective. The challenges associated with watermarking of EMR systems are: (1) some fields in EMR are more relevant in the diagnosis process; as a result, small variations in them could change the diagnosis, and (2) a misdiagnosis might not only result in a life threatening scenario but also might lead to significant costs of the treatment for the patients. The major contribution of this paper is an information-preserving watermarking scheme to address the above-mentioned challenges. We model the watermarking process as a constrained optimization problem. We demonstrate, through experiments, that our scheme not only preserves the diagnosis accuracy but is also resilient to well known attacks for corrupting the watermark. Last but not least, we also compare our scheme with a well known threshold-based scheme to evaluate relative merits of a classifier. Our pilot studies reveal that -- using proposed information-preserving scheme -- the overall classification accuracy is never degraded by more than 1%. In comparison, the diagnosis accuracy, using the threshold-based technique, is degraded by more than 18% in a worst case scenario.

An Optimized Information-Preserving Relational Database Watermarking Scheme for Ownership Protection of Medical Data

Covert Channels constitute an important security threat because they are used to ex-filtrate sensitive information, to disseminate malicious code, and, more alarmingly, to transfer instructions to a criminal (or terrorist). This work presents zero day vulnerabilities and weak-nesses, that we discovered, in the Short Message Service (SMS) protocol, that allow the embedding of high capacity covert channels. We show that an intruder, by exploiting these SMS vulnerabilities, can bypass the existing security infrastructure (including firewalls, intrusion detection systems, content filters) of a sensitive organization and the primitive content filtering software at an SMS Center (SMSC). We found that the SMS itself, along with its value added services (like picture SMS, ring tone SMS), appears to be much more susceptible to security vulnerabilities than other services in IP-based networks. To demonstrate the effectiveness of covert channels in SMS, we have used our tool GeheimSMS that practically embeds data bytes (not only secret, but also hidden) by composing the SMS in Protocol Description Unit (PDU) mode and transmitting it from a mobile device using a serial or Bluetooth link. The contents of the overt (benign) message are not corrupted; hence the secret communication remains unsuspicious during the transmission and reception of SMS. Our experiments on active cellular networks show that 1 KB of a secret message can be transmitted in less than 3 minutes by sending 26 SMS without raising an alarm over suspicious activity.

https://lirias.kuleuven.be/bitstream/123456789/538618/1/rafique_covertsms.pdf

Embedding high capacity covert channels in short message service (sms)

The rapid advances in computing and transmission technologies are giving impetus to the large-scale deployment of interconnected systems for communication and transport of data, voice, video and resources. The global Internet, and cellular, satellite, and Wi-Fi networks, as well as power and logistic networks, just to mention a few remarkable examples, are at the same time ubiquitous and at the very heart of the functioning and success of modern societies. On the other hand, all these networks are increasingly heterogeneous, complex, and dynamic, such as they present a number of challenging issues concerning their analysis and design, management and control, robustness and security. Biological systems show a number of properties, such as self-organization, adaptivity, scalability, robustness, autonomy, locality of interactions, distribution, which are highly desirable to deal with the growing complexity of current and future networks. Therefore, in recent years a growing number of effective solutions for problems related to networked systems have been proposed by taking inspiration from the observation of natural systems and processes such as natural selection, insect societies, immune systems, cultural systems, collective behaviors of groups of animals/cells, etc.The aim of the tutorial is to provide the cutting edge research on Bio/Nature inspired approaches to network-related problems. The tutorial will also focus on protocol engineering in order to introduce different frameworks that have been developed to realize such Bio/Nature inspired protocols inside the network stack of the Linux kernel. The presentation will also introduce a comprehensive performance evaluation framework that is crucial for getting an insight into the behavior of a Bio/Nature inspired routing algorithm over wide operational landscape of a real network. The designers of the routing protocols can use it to verify their Linux model by comparing important performance values obtained from Linux model with the simulation model. The presentation will also introduce a novel testing framework for MANETs to compare and verify the results of MANET routing protocol in real world MANETs. Last but not least tutorial will also introduce security threats that a designer has to be aware of while deploying such protocols in real world fixed and MANETS. An overview of overview of "Bio-inspired routing algorithms" for sensor networks will also be provided. The tutorial would also focus on "Formal modeling of Bio-inspired algorithms". Towards the end, a brief introduction of "Bio-inspired Security Solutions for Enterprise Security" will be introduced. We believe that the tutorial will be instrumental in highlighting the potential of Bio/Nature inspired protocols in real world networks.The tutorial is intended for telecommunication managers, protocol developers, network engineers, network software developers and optimization researchers and graduate students who want to work in non-linear real time dynamic problems. For references following published material would be helpful: 1. Bee-Inspired Protocol Engineering: From Nature to Networks, Natural Computing Series, Springer, December, 2008. 2. Book Chapter -- Routing Protocols for Next-Generation Networks Inspired by Collective Behaviors of Insect Societies: An Overview, Swarm Intelligence: Introduction and Applications, Natural Computing Series, Springer, 2008.

Muddassar Farooq

Papers

Inter-Subset Hamming Distance Maximization for Enhancing the Physical Layer Security of Antenna Subset Modulation

An Optimized Information-Preserving Relational Database Watermarking Scheme for Ownership Protection of Medical Data

Embedding high capacity covert channels in short message service (sms)

Bio-inspired telecommunications

Securing smart phones against malicious exploits