000			02391nam a2200409Ia 4500
000			04003nam a22004455i 4500
001			978-981-99-2115-7
003			DE-He213
005			20240319120931.0
007			cr nn 008mamaa
008			230613s2023 si | s |||| 0|eng d
020			_a9789819921157 _9978-981-99-2115-7
082			_a6.3
245			_aArtificial Intelligence and Cyber Security in Industry 4.0 _cedited by Velliangiri Sarveshwaran, Joy Iong-Zong Chen, Danilo Pelusi. _h[electronic resource] /
250			_a1st ed. 2023.
260			_aSingapore _bSpringer Nature Singapore _c2023
300			_aVIII, 373 p. 100 illus., 86 illus. in color. _bonline resource.
520			_aThis book provides theoretical background and state-of-the-art findings in artificial intelligence and cybersecurity for industry 4.0 and helps in implementing AI-based cybersecurity applications. Machine learning-based security approaches are vulnerable to poison datasets which can be caused by a legitimate defender's misclassification or attackers aiming to evade detection by contaminating the training data set. There also exist gaps between the test environment and the real world. Therefore, it is critical to check the potentials and limitations of AI-based security technologies in terms of metrics such as security, performance, cost, time, and consider how to incorporate them into the real world by addressing the gaps appropriately. This book focuses on state-of-the-art findings from both academia and industry in big data security relevant sciences, technologies, and applications.
650			_aArtificial intelligence. _932957
650			_aArtificial Intelligence. _932958
650			_aBig data. _932959
650			_aBig Data. _932960
650			_aComputational intelligence. _932961
650			_aComputational Intelligence. _932962
650			_aInternet of things. _932963
650			_aInternet of Things. _932964
650			_aMachine learning. _932965
650			_aMachine Learning. _932966
650			_aMobile communication systems. _932967
650			_aWireless and Mobile Communication. _932968
650			_aWireless communication systems. _932969
700			_aChen, Joy Iong-Zong. _932970
700			_aPelusi, Danilo. _932971
700			_aSarveshwaran, Velliangiri. _932972
856			_uhttps://doi.org/10.1007/978-981-99-2115-7
942			_cEBK _2ddc
999			_c15344 _d15344