Pervasive Computing：网络视角与未来发展

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《普适计算：网络视角与未来方向》(Pervasive Computing: A Networking Perspective and Future Directions) 是一本由 Deepshikha Bhargava 和 Sonali Vyas 联合编辑的著作，于2019年1月29日首次出版。该书聚焦于信息技术领域中的普适计算，从网络的角度出发，探讨了这一领域的核心理论、方法和技术发展。本书的目的是提供一个全面的框架，以便理解和挖掘数据中的高价值模式，这些模式在诸如客户交易数据和序列数据等离散类型的数据中尤为重要。全书共分为12章，其中前7章为综述性质，涵盖了高价值模式挖掘的主要子领域，如项目集挖掘（itemset mining）、序列模式挖掘（sequential pattern mining）、大数据模式挖掘、基于元启发式的方法、隐私保护模式挖掘以及模式可视化。这些章节深入介绍了各自领域的基本概念、算法和最新的研究进展。后5章则重点介绍关键技术和应用，包括发现简洁表示和规则模式的技术，这有助于提升数据分析的效率和有效性。作者们特别强调了在大数据和网络环境中处理高价值模式挖掘的挑战和机遇，以及如何在保证数据安全和个人隐私的前提下进行模式发现。此外，本书还提供了相关的ISBN-10和ISBN-13书号，电子版的DOI链接，以及Library of Congress Control Number，版权信息指出所有权利归Springer Nature Singapore Pte Ltd所有。读者可以通过购买或在线获取这本书，了解普适计算在网络环境下的最新进展，为未来的网络设计、数据管理和决策支持提供有价值的知识和洞见。通过阅读这本书，读者不仅可以掌握普适计算的基本原理，还能了解到如何将其应用于实际场景，比如电子商务、物联网(IoT)、智慧城市等领域，以及如何利用这些技术推动网络通信的智能化和优化。对于对数据挖掘、网络分析和未来信息技术感兴趣的读者来说，这是一本不可多得的参考和学习资料。

Computer and Communication Engineering. She is also

acting as Guest Editor in Elsevier International Journal

of Computer and Electrical Engineering (IJCEE)

special issue. She is also acting as reviewer and

member of various renowned national and international

conferences/journals.

Reach her at vyas.sonali86@gmail.com.

Contributors

Nikhil Agrawal Malaviya National Institute of Technology, Jaipur, India

Anandini Devi Department of Electronics and Communication Engineering,

National Institute of Technology, Silchar, India

V. Anuratha Department of PG Computer Science, Sree Saraswathi Thyagaraja

College, Pollachi, India

Mukesh Azad Shri Ram Murti Smarak College of Engineering and Technology,

Bareilly, India

Bhanu Prakash Battula Tirumala Engineering College, Guntur, Andhra Pradesh,

India

Rubina Choudhary Depa rtment of Quality Assurance (Academics), Lovely

Professional University, Jalandhar, India

Prateek Dolas Department of Electronics and Communication Engineering,

Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

R. K. Dwivedi CCSIT, Teerthanker Mahaveer University, Moradabad, Uttar

Pradesh, India

Yogesh Murlidhar Gaikwad Department Electronics and Telecommunication

Engineering, SITRC, Nashik, India

D. Ghosh Department of Electronics and Communication Engineering, Indian

Institute of Technology Roorkee, Roorkee, Uttarakhand, India

Kamal Kumar Gola Computer Science and Engineering Department, Faculty of

Engineering, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India

Gera Jaideep Acharya Nagarjuna University, Guntur, Andhra Pradesh, India

Anshul Jain Government Engineering College, Ajmer, India

C. K. Jha Department of Computer Science, Banasthali University, Vanasthali,

Rajasthan, India

Editors and Contributors xix

2 V. U g a l e e t a l .

2 Security Challenges

2.1 Wireless Sensor Networks

A WSN is a network of different sensors interconnected and communicates through

a centralized node generally called as a base station or a sink. Through a sink, sensor

node can send or receive the control information or extract the data from other

network. Sensor node has limited resource than a sink node and has to communicate

with other nodes through a sink node only. Every sensor node acts as a router for the

data which is being disseminated. Sensor nodes can be an optical, acoustic, visual,

magnetic sensor which sense the environment and extract the data from conditions

and that data i s sent over the network which ultimately reaches to sink node [1].

2.2 Security Challenges in WSNs

In WSN, sensor nodes come with a very limited memory and storage to store the

code, with less data processing capability, power source in order to make a node as

small as possible. All these constraints put limitation on implementation of security

solution, as security code, which has to be efﬁcient, must be small as sensor nodes

come with very small memory. Following are the security challenges in WSN [1, 3].

Data Conﬁdentiality As data is disseminated wireless between sensor nodes, keep-

ing the access of the data only to the authenticated user becomes very essential task.

So to keep eavesdroppers restricted from accessing the data encryption function is

used which works on a shared secrete key exchange for the communication between

two end users [3].

Data Integrity It ensures the data which is sent by sender is being received by the

end user as it is. It keeps the data form secure from being altered or tempered during

transition from sender to receiver. Data integrity also ensures the freshness of t he

data by not delivering the old data packets again [3].

Authentication The process of authentication involves the identiﬁcation of the origin

of data source. It also ensures the no unauthenticated user tempers the data during

the transition [3].

Key Management It includes the establishment and maintenance of the communi-

cation between two authorized parties by exchanging the key. There are two types

of the key algorithms. Symmetric consists of the two keys: one for sender and one

for receiver, which can be same or be computed by communicating nodes itself.

Asymmetric algorithms involve public key, which is known to everyone and private

key made available to only authorized parties [3].

Security issues also include availability, privacy, secure routing, secure group

management, intrusion detection and secure data aggregation which needs to be

addressed while designing the WSNs [1, 3].

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